21
17 | Page © 2019 RnD Journals. All Rights Reserved. www.rndjournals.com| OPEN ACCESS Iqbal et al., 2019 The Int. J. Biol. Res. Evaluation of different fungicides for the management of Colletotrichum gloeosporioides cause of mango anthracnose. Shahid Iqbal 1 , Nasir Ahmad Khan 1 , Mujeeb Ur Rehman 1 , Muhammad Usman 1 , Muhammad Hadi Abbas 2 , Hafiza Hadiqa Anum 2 , Hina Firdous 1 and Mirza Waqas Safder 1 1. Department of Plant Pathology, University of Agriculture, Faisalabad, Pakistan 2. Institute of Horticultural Sciences, University of Agriculture, Faisalabad, Pakistan. * Corresponding author: Shahid Iqbal Department of Plant Pathology, University of Agriculture, Faisalabad, Pakistan, Email: [email protected] Article History Received: 17 May 2018 Accepted: 29 November 2018 Published: 02 January 2019 How to Cite? Shahid Iqbal, Nasir Ahmad Khan, Mujeeb Ur Rehman, Muhammad Usman, Muhammad Hadi Abbas, Hafiza Hadiqa Anum, Hina Firdous and Mirza Waqas Safder. Evaluation of different fungicides for the management of Colletotrichum gloeosporioides cause of mango anthracnose. The international Journal of Biological Research, 2019, 2, 17-36 Publication License This work is licensed under a Creative Commons Attribution 4.0 International License. ABSTRACT Mango belongs to family Anacardiaceae and its genus is Mangiferae. The production of mango is affected due to various factors like extreme temperature, high humidity and different diseases caused by bacteria, fungi, viruses etc. Mango anthracnose is one of the fungal diseases, caused by C. gloeosporioides which is responsible for huge losses in mango plantation. Out of four different fungicides which were used along with one control treatment like (Score, Amistar Top, Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum gloeosporioides at all concentrations at 5 days interval as well as 9 days interval. The experiment was designed in Complete Randomized Design (CRD). Maximum growth of fungus was observed in control (49.5033mm) at 10ppm at 5 days interval and THE INTERNATIONAL JOURNAL OF BIOLOGICAL RESEARCH ISSN Print 2618-1436 ISSN Online 2618-1444 Volume 2, 2019 RESEARCH ARTICLE

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Iqbal et al 2019 The Int J Biol Res

Evaluation of different fungicides for the

management of Colletotrichum gloeosporioides cause

of mango anthracnose Shahid Iqbal1 Nasir Ahmad Khan1 Mujeeb Ur Rehman1 Muhammad Usman1

Muhammad Hadi Abbas2 Hafiza Hadiqa Anum2 Hina Firdous1 and Mirza Waqas

Safder1

1 Department of Plant Pathology University of Agriculture Faisalabad Pakistan

2 Institute of Horticultural Sciences University of Agriculture Faisalabad Pakistan

Corresponding author

Shahid Iqbal

Department of Plant Pathology

University of Agriculture Faisalabad Pakistan

Email shahidjahanian1gmailcom

Article History

Received 17 May 2018

Accepted 29 November 2018

Published 02 January 2019

How to Cite

Shahid Iqbal Nasir Ahmad Khan Mujeeb Ur Rehman Muhammad Usman Muhammad Hadi Abbas Hafiza Hadiqa

Anum Hina Firdous and Mirza Waqas Safder Evaluation of different fungicides for the management of Colletotrichum

gloeosporioides cause of mango anthracnose The international Journal of Biological Research 2019 2 17-36

Publication License

This work is licensed under a Creative Commons Attribution 40 International License

ABSTRACT

Mango belongs to family Anacardiaceae and its genus is Mangiferae The production of mango is affected

due to various factors like extreme temperature high humidity and different diseases caused by bacteria

fungi viruses etc Mango anthracnose is one of the fungal diseases caused by C gloeosporioides which is

responsible for huge losses in mango plantation Out of four different fungicides which were used along

with one control treatment like (Score Amistar Top Curzate and Revus) Score found to be most effective

against the growth of fungal pathogen Colletotrichum gloeosporioides at all concentrations at 5 days

interval as well as 9 days interval The experiment was designed in Complete Randomized Design (CRD)

Maximum growth of fungus was observed in control (495033mm) at 10ppm at 5 days interval and

THE INTERNATIONAL JOURNAL OF BIOLOGICAL RESEARCH

ISSN Print 2618-1436 ISSN Online 2618-1444

Volume 2 2019 RESEARCH ARTICLE

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Iqbal et al 2019 The Int J Biol Res

minimum growth was in Score (54966mm) Maximum growth of fungus was observed in control at 20 ppm

at 5 days interval followed by Revus Curzate Amistar Top and Score (485433412922396166262866

and 541mm respectively) Maximum growth of fungus was observed in control and minimum growth was

in Score (5066and 508 respectively) at 50ppm at 5 days interval Maximum growth of fungus was observed

in control treatment (50422mm) and minimum growth was observed in Score (495mm) at 100 ppm at 5

days interval Maximum growth of fungus was recorded in control treatment and minimum growth was

observed in Score at 10 ppm at 9 days interval (892and 967 respectively) Maximum growth of fungus was

recorded in control at 20 ppm at 9 days interval followed by Curzate Revus Amistar Top and Score

(89337541371833001and 948 respectively) Maximum growth was of fungus observed in control

treatment (89351mm) and minimum growth was in Score (807) at 50 ppm at 9 days interval Maximum

growth of fungus was observed in control treatment followed by Revus Curzate Amistar Top and Score

(9000 57299 5152 2444 73922 respectively) Out of three plant extracts which were used along with

one control treatment like (Neem Aloe Vera and Moringa) Moringa found to be most effective at 10

concentrations at 5 days interval followed by Neem Aloe Vera and Control (3232474484996 and 67532

mm respectively) Maximum growth of fungus was observed in control treatment (73793mm) and

minimum growth was observed in Moringa (2989 mm) at 15 concentration at 5 days interval

Key words Mango anthracnose fungus

INTRODUCTION

Mango (Mangifera indica L) is regarded as the most famous and commonly utilized fruit crop by a large

number of people in the tropical regions usually in the developed countries Most of the countries are

shipping a huge quantity of fruit towards the European as well as United States markets and they compete

on the basis of quality and price (Arauz 2000) and out of total production of mango 98 is achieved from

the developing countries and developed countries import 80 of the mango fruit throughout the world

(Onyeani et al 2012) Mango trade on international level is dominated by specific varieties such as Tommy

Atkin as well as Keitt (FAO 2003) It is an important fruit crop of Pakistan and belongs to the flowering plant

genus Mangifera and its family is Anacardiaceae Pakistan is granted with best agro climatic zone which is

favourable for the growth of different types of crops fruits and vegetables As for as fruit production is

concerned in Pakistan mango fruit rank 2nd in the country (Anonymous 2011) and at 4th in term of export

(Maqbool et al 2011) Punjab and Sindh are main mango producing regions in Pakistan and Sindhri and

Chaunsa are the major high yielding varieties of mango In Pakistan the Sindhri Samar Bahisht Chaunsa as

well as Anwar Ratoleete are the main cultivated mango varieties Mango is main component of diet in most

of the countries of the world (Mukherjee and Litz 2009) The area in Pakistan on which mango is being

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Iqbal et al 2019 The Int J Biol Res

cultivated is 167-5 thousand ha and 1732 thousand tons is the production of mango per ha (FAO 2016)

Mango fruit has charming taste and aroma and its nutritional value is very high (Ibarra Ramos amp

Hernandez 2015) Mango remains have large value of lipids protein and carbohydrates which can be used

in the food industry (O`Shea et al 2012) Mango is attacked by a number of disorders as well as diseases

almost at each developmental stage from seedling to fruit formation (Alemu 2014) Fungal diseases are

responsible to crop losses and export losses are due to postharvest diseases (Prakash 2004) The mango

fruit and tree are commonly host for various pathogens especially fungi which are responsible for

postharvest rot of fruit throughout the world (Diedhious et al 2007) Rajwana et al (2011) described that

the quality of mango fruit was reducing in Pakistan because of some factors such as infestation of pests

diseases as well as due to certain physiological disorders It is no doubted that different mango diseases

are spreading in different areas of country and anthracnose root rot dieback diseases as well as some

others (wilts and cankers) are usually infecting the crop (Nafees et al 2013) The mango is regarded to be

attacked by many diseases that destroys different parts of plant Sooty mould (Capnodium romasum or

Tripospermu macorium) Powdery mildew (Oidium mangiferae) leaf blight (Pestaloptiopsis mangiferae)

root rot (Rhizocotonia and Fusarium species) stem blight or die back are highlighted as fungal diseases

(Khalid et al 2002)The different pathogens such as bacteria fungi viruses and other microorganism which

are sources of anthracnose powdery mildew bacterial blight malformation and mango decline diseases

are problematic factors for mango farmers in the production of mango fruit in Pakistan (Khalid et al 2002)

Out of these diseases anthracnose of mango which is due to C gloeosporioides is the very dangerous

disease of mango (Ploetz 2003)

Anthracnose is one of the fungal pathogens having sunken lesions dark to brown spots on leaves stems

foliage as well as on fruits Anthracnose is commonly is reemerging problem of mango throughout the

world It is regarded as most damaging and harmful disease of plants according to economic point of view

having a diverse number of host ranging from grasses to tree plants (Abang MM 2003) Anthracnose of

mango has been found in all those areas of the world where climatic conditions favor the mango production

and is considered most damaging disease in field condition as well as postharvest disease of mango fruit

(Sangeetha and Rawal 2009) Anthracnose cause reduction both in fruit production and fruit quality

Almost all mango varieties are affected due to mango anthracnose The most damaging effect of mango

anthracnose can be seen in the regions where at the time of flowering and fruit setting it rains The conidia

having a structure conidiophore (which is a single celled structure) is an infective part of Colletotrichum

pathogen Thick walled mycelia of dark color are produced by the pathogen which may be light in color at

tips

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In mangoes flowering and the early stage of fruit development are supporting stage of infection The

anthracnose causing pathogen has the ability to enter into green mango fruits and remain dormant until

the ripening of fruit After the ripening of fruit the anthracnose pathogen has the ability to reactivate due

to physiological changes regarding to ripening process and the changes may be lesion development with

fruit spoilage spot development on leaves especially at leaf margins (Assis JS 2004) Colletotrichum genus

is one of the important plant pathogen which is responsible to cause an anthracnose in variety of plants

including vegetables cereals fruits ornamental plants as well as on grasses in tropical and temperate areas

(Rojas et al 2010) Earlier the Colletotrichum gloeosporioides was considered as widespread species and a

large number of host plants are affected by this pathogen including fruits of tropical area (Phoulivong et

al 2010) Latest studies described that fungal pathogen Colletotrichum is one of the Pathogens of scientific

as well as economic importance (Dean et al 2012)

There are many fungal genera which are responsible to cause mango anthracnose disease such as Elsino

spp Diplocarpon spp and especially Colletotrichum species and these Colletotrichum species are major

reason to cause loss in most of the tropical fruit plants The pathogen Colletotrichum gloeosporioides

belongs to class Deuteromycetes and its order is Melanconales The sexual stage of fungus is telomorph or

Glomerella but of least significant in disease cycle and the sexual stage or anamorph ie Colletottrichum

which responsible to cause mango anthracnose disease The anthracnose pathogen is widespread

pathogen by which all the parts of plant are attacked at any stage of growth Glomerellla the perfect stage

and Colletotrichum the imperfect stage may exist on same host as well as on same parts of that host plant

However the symptoms as well as spore of pink colour are not produced by Glomerella on agar as that of

Colletotrichum (Abang MM 2003)

The pathogen may damage different parts of mango and cause severe infection in young fruits (Pitkethley

and Conde 2007) The disease incidence may be 100 on fruits which are produced under very humid as

well as wet conditions due to the attack of this pathogen Colletotrichum gloeosporioides (Arauz 2000) The

fruits which look healthy at the time of harvesting may develop larger symptoms of anthracnose very

quickly after ripening and the fruits which are infected at maturity stage carry this fungal pathogen into

storage conditions and are responsible to cause a huge losses during storage as well as in marketing

(Haggag 2010) Yield losses due to this disease are observed 2-39 (Prabakar et al 2005) in the month of

July losses increase more than 47 while 517 losses are observed in the month of august (Prabakar et

al 2005) For the development of Lasidodioplo diatheobromae the optimum temperature of twig blight is

between 20 -30deg C (Adeniyi et al 2011)

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Rain temperature and humidity are the primary abiotic agents which affect the onset of various diseases

of mango Stem end rot Aspergillus rot and anthracnose are more dominant under high humidity as well

as in moist condition (Iram et al 2013)In the regions with heavy rainfall at the time of flowering and fruit

setting anthracnose is more dominant lead to heavy fruit losses upto 35 (Martinez et al 2009) Spores

of C gloeosporioides are spread by rain drops but the spores of Alternaria spp are dispersed by wind (Iram

et al 2013) The mango anthracnose disease is managed by using the different control strategies such as

sanitation practices discarding of infected portions and parts of host which promote infection by the use

of KNo3 which promotes flowering by the use different biological and chemical control strategies (Prusky

et al 2009)

In the light of these facts the current work has been done keeping in view the following objectives

OBJECTIVES

To isolate and study the pathogen associated with the diseased parts

To evaluate the fungicides against this pathogen and to find out the most effective against C

gloeosporioides

To meet the commercial production of mango at global level

MATERIALS AND METHODS

Sample Collection

The diseased leaves twigs flowers and fruits samples of mango with typical symptoms were collected

from the AARI and nine square area of UAF and were brought to the mycology lab for further proceeding

Preparation of medium

Potato dextrose agar (PDA)

For the preparation of 1litre of media following ingredients were used

Peeled potato 400gm

Agar-agar 20gm

Glucose 20gm

Distilled water 1000ml

For the preparation of media such as PDA 400g of peeled potato were boiled in 1 liter of sterilized water

in the pan for 10 to 15 minutes in order to get starch in a boiling water After the cooling of water the

remaining ingredients were added into this starch containing water by thoroughly mixing it in the flask

After this the media was autoclaved at a temperature of 121˚ C maintaining the fifteen psi pressure for

thirty minutes Then the flask media was allowed to cool at a temperature of 54deg C Then flask media as

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Iqbal et al 2019 The Int J Biol Res

well as petri dishes were taken out from the autoclave At the end this flask media was poured into the

sterilized petri dishes To avoid the contamination all procedure was done in a chamber

Isolation

The pathogen was isolated from the infected leaves twigs flowers and fruits by cutting a small section of

anthracnose infected portion and healthy piece of leaves twigs flowers and fruits Then surface

sterilization was done by applying 01 NaClO for 1 to 2 minute and then was washed with distilled water

2-3 times After this it was placed into the already prepared media and was incubated at 25-28degC

Identification

The pathogen was identified under light microscope by keeping in view the growth pattern morphology as

well as colony color of pathogen

In-Vitro Evaluation of Fungicides

For the evaluation of various fungicides in the lab condition 4 fungicides were selected to check the

sensitivity of Colletotrichum gloeosporioides During the experiment PDA medium as a control as well as

with fungicides such as [Revus (Mandipropamid 250gl Syngenta) Curzate (Cymoxanil 600gkg Du

Pont) AmistarTop (Azoxystrobin 180gl + Difenoconazole 740gl Syngenta) and Score

(Difenoconazole 250gl Syngenta)] at four (102050 and 100 ppm) different concentrations were

examined against the pathogen Colletotrichum gloeosporioides under vitro condition by following the food

poisoned technique The stock solutions by thoroughly mixing the PDA of 100mm with 100ml fungicides

(by using 1gram of these fungicides into the 100ml of sterilized water) were formed Petri dishes of 9cm

size were filled with 20ml of media and 4-5 days old culture with mycelia growth of 5mm was inoculated in

the center of each petri plate and then these plates were incubated at 25plusmn1degCFour replications were

maintained of each treatment Colony diameter was measured in (mm) of all the treatments and reduction

in growth due to these fungicides was checked

Evaluation of Plant Extracts against the growth of Colletotrichum gloeosporioides

All leaves of Aloe Vera (Gawar paatha) Azadirachta indica (Neem) as well as Moringa (Sohangana) were

collected from the forestry area of University of Agriculture Faisalabad and these were brought to mycology

lab for further proceeding Firstly these leaves were washed with the help of distilled water and then dried

After drying the juice of each material was extracted one by one by using 50 milliliter of water and 250

gram of material in the electric juice machine Then each juice was sieved with the help of muslin cloth

then required amount of 250 milliliter were set with flasks and 2g of detergent was added then the extracts

were transferred to the transparent plastic bottles with tags these bottles were stored at cool temperature

for 24 hours at normal cooling temperature On the second day 50 ml of distilled water was again added to

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Iqbal et al 2019 The Int J Biol Res

the solutions Two concentrations 10 and 15 of each plant extract were used5 ml and 75 ml of plant

extract were added in 50 ml of distill water to make desired concentration

RESULT AND DISCUSSION

The present experiments on mango anthracnose were performed at Plant Pathology Department

University of Agriculture Faisalabad To obtain culture (C gloeosporioides) simple isolation technique was

used The infected leaves flowers twigs and fruits sample were cut into small portions of 05cm size and

were subjected to surface sterilization using 01 NaClO solution for 2-3 minutes followed by consecutive

3 rinses in distilled water Such small portions were transferred to the petri plates having autoclaved PDA

media and incubated at 25plusmn1 degree centigrade After 5-8 days isolates of Colletotrichum gloeosporioides

appeared on diseased leaves flower twigs and fruits portions were identified and were transferred to PDA

(potato dextrose agar) slants for more purification process The pure cultures of Colletotrichum

gloeosporioides were maintained in refrigerator as well as sub -cultured periodically during the course of

this experiment The data was analyzed by ANOVA (analysis of variance) as well as the significance

differences within the treatments were separated by the use of CRD test

Frequency of isolated pathogens from collected samples ()

The results showed that the twigs were most susceptible part of the plant as compared to leaves fruits and

flowers and from the collected samples the maximum percentage was Colletotrichum gloeosporioides

followed by Alternaria alternate and Fusarium spp

Table 1 Percentage of different isolated pathogens

Plant parts No of Samples C gloeosporioides A alternata Fusarium spp

Leaves 50 70 18 12

Twigs 30 7333 1666 10

Flowers 6 666 1666 1666

Fruits 10 60 30 10

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 2) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

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Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

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Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

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Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

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(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

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Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

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Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

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Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

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Page 2: Evaluation of different fungicides for the management of

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Iqbal et al 2019 The Int J Biol Res

minimum growth was in Score (54966mm) Maximum growth of fungus was observed in control at 20 ppm

at 5 days interval followed by Revus Curzate Amistar Top and Score (485433412922396166262866

and 541mm respectively) Maximum growth of fungus was observed in control and minimum growth was

in Score (5066and 508 respectively) at 50ppm at 5 days interval Maximum growth of fungus was observed

in control treatment (50422mm) and minimum growth was observed in Score (495mm) at 100 ppm at 5

days interval Maximum growth of fungus was recorded in control treatment and minimum growth was

observed in Score at 10 ppm at 9 days interval (892and 967 respectively) Maximum growth of fungus was

recorded in control at 20 ppm at 9 days interval followed by Curzate Revus Amistar Top and Score

(89337541371833001and 948 respectively) Maximum growth was of fungus observed in control

treatment (89351mm) and minimum growth was in Score (807) at 50 ppm at 9 days interval Maximum

growth of fungus was observed in control treatment followed by Revus Curzate Amistar Top and Score

(9000 57299 5152 2444 73922 respectively) Out of three plant extracts which were used along with

one control treatment like (Neem Aloe Vera and Moringa) Moringa found to be most effective at 10

concentrations at 5 days interval followed by Neem Aloe Vera and Control (3232474484996 and 67532

mm respectively) Maximum growth of fungus was observed in control treatment (73793mm) and

minimum growth was observed in Moringa (2989 mm) at 15 concentration at 5 days interval

Key words Mango anthracnose fungus

INTRODUCTION

Mango (Mangifera indica L) is regarded as the most famous and commonly utilized fruit crop by a large

number of people in the tropical regions usually in the developed countries Most of the countries are

shipping a huge quantity of fruit towards the European as well as United States markets and they compete

on the basis of quality and price (Arauz 2000) and out of total production of mango 98 is achieved from

the developing countries and developed countries import 80 of the mango fruit throughout the world

(Onyeani et al 2012) Mango trade on international level is dominated by specific varieties such as Tommy

Atkin as well as Keitt (FAO 2003) It is an important fruit crop of Pakistan and belongs to the flowering plant

genus Mangifera and its family is Anacardiaceae Pakistan is granted with best agro climatic zone which is

favourable for the growth of different types of crops fruits and vegetables As for as fruit production is

concerned in Pakistan mango fruit rank 2nd in the country (Anonymous 2011) and at 4th in term of export

(Maqbool et al 2011) Punjab and Sindh are main mango producing regions in Pakistan and Sindhri and

Chaunsa are the major high yielding varieties of mango In Pakistan the Sindhri Samar Bahisht Chaunsa as

well as Anwar Ratoleete are the main cultivated mango varieties Mango is main component of diet in most

of the countries of the world (Mukherjee and Litz 2009) The area in Pakistan on which mango is being

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cultivated is 167-5 thousand ha and 1732 thousand tons is the production of mango per ha (FAO 2016)

Mango fruit has charming taste and aroma and its nutritional value is very high (Ibarra Ramos amp

Hernandez 2015) Mango remains have large value of lipids protein and carbohydrates which can be used

in the food industry (O`Shea et al 2012) Mango is attacked by a number of disorders as well as diseases

almost at each developmental stage from seedling to fruit formation (Alemu 2014) Fungal diseases are

responsible to crop losses and export losses are due to postharvest diseases (Prakash 2004) The mango

fruit and tree are commonly host for various pathogens especially fungi which are responsible for

postharvest rot of fruit throughout the world (Diedhious et al 2007) Rajwana et al (2011) described that

the quality of mango fruit was reducing in Pakistan because of some factors such as infestation of pests

diseases as well as due to certain physiological disorders It is no doubted that different mango diseases

are spreading in different areas of country and anthracnose root rot dieback diseases as well as some

others (wilts and cankers) are usually infecting the crop (Nafees et al 2013) The mango is regarded to be

attacked by many diseases that destroys different parts of plant Sooty mould (Capnodium romasum or

Tripospermu macorium) Powdery mildew (Oidium mangiferae) leaf blight (Pestaloptiopsis mangiferae)

root rot (Rhizocotonia and Fusarium species) stem blight or die back are highlighted as fungal diseases

(Khalid et al 2002)The different pathogens such as bacteria fungi viruses and other microorganism which

are sources of anthracnose powdery mildew bacterial blight malformation and mango decline diseases

are problematic factors for mango farmers in the production of mango fruit in Pakistan (Khalid et al 2002)

Out of these diseases anthracnose of mango which is due to C gloeosporioides is the very dangerous

disease of mango (Ploetz 2003)

Anthracnose is one of the fungal pathogens having sunken lesions dark to brown spots on leaves stems

foliage as well as on fruits Anthracnose is commonly is reemerging problem of mango throughout the

world It is regarded as most damaging and harmful disease of plants according to economic point of view

having a diverse number of host ranging from grasses to tree plants (Abang MM 2003) Anthracnose of

mango has been found in all those areas of the world where climatic conditions favor the mango production

and is considered most damaging disease in field condition as well as postharvest disease of mango fruit

(Sangeetha and Rawal 2009) Anthracnose cause reduction both in fruit production and fruit quality

Almost all mango varieties are affected due to mango anthracnose The most damaging effect of mango

anthracnose can be seen in the regions where at the time of flowering and fruit setting it rains The conidia

having a structure conidiophore (which is a single celled structure) is an infective part of Colletotrichum

pathogen Thick walled mycelia of dark color are produced by the pathogen which may be light in color at

tips

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In mangoes flowering and the early stage of fruit development are supporting stage of infection The

anthracnose causing pathogen has the ability to enter into green mango fruits and remain dormant until

the ripening of fruit After the ripening of fruit the anthracnose pathogen has the ability to reactivate due

to physiological changes regarding to ripening process and the changes may be lesion development with

fruit spoilage spot development on leaves especially at leaf margins (Assis JS 2004) Colletotrichum genus

is one of the important plant pathogen which is responsible to cause an anthracnose in variety of plants

including vegetables cereals fruits ornamental plants as well as on grasses in tropical and temperate areas

(Rojas et al 2010) Earlier the Colletotrichum gloeosporioides was considered as widespread species and a

large number of host plants are affected by this pathogen including fruits of tropical area (Phoulivong et

al 2010) Latest studies described that fungal pathogen Colletotrichum is one of the Pathogens of scientific

as well as economic importance (Dean et al 2012)

There are many fungal genera which are responsible to cause mango anthracnose disease such as Elsino

spp Diplocarpon spp and especially Colletotrichum species and these Colletotrichum species are major

reason to cause loss in most of the tropical fruit plants The pathogen Colletotrichum gloeosporioides

belongs to class Deuteromycetes and its order is Melanconales The sexual stage of fungus is telomorph or

Glomerella but of least significant in disease cycle and the sexual stage or anamorph ie Colletottrichum

which responsible to cause mango anthracnose disease The anthracnose pathogen is widespread

pathogen by which all the parts of plant are attacked at any stage of growth Glomerellla the perfect stage

and Colletotrichum the imperfect stage may exist on same host as well as on same parts of that host plant

However the symptoms as well as spore of pink colour are not produced by Glomerella on agar as that of

Colletotrichum (Abang MM 2003)

The pathogen may damage different parts of mango and cause severe infection in young fruits (Pitkethley

and Conde 2007) The disease incidence may be 100 on fruits which are produced under very humid as

well as wet conditions due to the attack of this pathogen Colletotrichum gloeosporioides (Arauz 2000) The

fruits which look healthy at the time of harvesting may develop larger symptoms of anthracnose very

quickly after ripening and the fruits which are infected at maturity stage carry this fungal pathogen into

storage conditions and are responsible to cause a huge losses during storage as well as in marketing

(Haggag 2010) Yield losses due to this disease are observed 2-39 (Prabakar et al 2005) in the month of

July losses increase more than 47 while 517 losses are observed in the month of august (Prabakar et

al 2005) For the development of Lasidodioplo diatheobromae the optimum temperature of twig blight is

between 20 -30deg C (Adeniyi et al 2011)

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Rain temperature and humidity are the primary abiotic agents which affect the onset of various diseases

of mango Stem end rot Aspergillus rot and anthracnose are more dominant under high humidity as well

as in moist condition (Iram et al 2013)In the regions with heavy rainfall at the time of flowering and fruit

setting anthracnose is more dominant lead to heavy fruit losses upto 35 (Martinez et al 2009) Spores

of C gloeosporioides are spread by rain drops but the spores of Alternaria spp are dispersed by wind (Iram

et al 2013) The mango anthracnose disease is managed by using the different control strategies such as

sanitation practices discarding of infected portions and parts of host which promote infection by the use

of KNo3 which promotes flowering by the use different biological and chemical control strategies (Prusky

et al 2009)

In the light of these facts the current work has been done keeping in view the following objectives

OBJECTIVES

To isolate and study the pathogen associated with the diseased parts

To evaluate the fungicides against this pathogen and to find out the most effective against C

gloeosporioides

To meet the commercial production of mango at global level

MATERIALS AND METHODS

Sample Collection

The diseased leaves twigs flowers and fruits samples of mango with typical symptoms were collected

from the AARI and nine square area of UAF and were brought to the mycology lab for further proceeding

Preparation of medium

Potato dextrose agar (PDA)

For the preparation of 1litre of media following ingredients were used

Peeled potato 400gm

Agar-agar 20gm

Glucose 20gm

Distilled water 1000ml

For the preparation of media such as PDA 400g of peeled potato were boiled in 1 liter of sterilized water

in the pan for 10 to 15 minutes in order to get starch in a boiling water After the cooling of water the

remaining ingredients were added into this starch containing water by thoroughly mixing it in the flask

After this the media was autoclaved at a temperature of 121˚ C maintaining the fifteen psi pressure for

thirty minutes Then the flask media was allowed to cool at a temperature of 54deg C Then flask media as

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well as petri dishes were taken out from the autoclave At the end this flask media was poured into the

sterilized petri dishes To avoid the contamination all procedure was done in a chamber

Isolation

The pathogen was isolated from the infected leaves twigs flowers and fruits by cutting a small section of

anthracnose infected portion and healthy piece of leaves twigs flowers and fruits Then surface

sterilization was done by applying 01 NaClO for 1 to 2 minute and then was washed with distilled water

2-3 times After this it was placed into the already prepared media and was incubated at 25-28degC

Identification

The pathogen was identified under light microscope by keeping in view the growth pattern morphology as

well as colony color of pathogen

In-Vitro Evaluation of Fungicides

For the evaluation of various fungicides in the lab condition 4 fungicides were selected to check the

sensitivity of Colletotrichum gloeosporioides During the experiment PDA medium as a control as well as

with fungicides such as [Revus (Mandipropamid 250gl Syngenta) Curzate (Cymoxanil 600gkg Du

Pont) AmistarTop (Azoxystrobin 180gl + Difenoconazole 740gl Syngenta) and Score

(Difenoconazole 250gl Syngenta)] at four (102050 and 100 ppm) different concentrations were

examined against the pathogen Colletotrichum gloeosporioides under vitro condition by following the food

poisoned technique The stock solutions by thoroughly mixing the PDA of 100mm with 100ml fungicides

(by using 1gram of these fungicides into the 100ml of sterilized water) were formed Petri dishes of 9cm

size were filled with 20ml of media and 4-5 days old culture with mycelia growth of 5mm was inoculated in

the center of each petri plate and then these plates were incubated at 25plusmn1degCFour replications were

maintained of each treatment Colony diameter was measured in (mm) of all the treatments and reduction

in growth due to these fungicides was checked

Evaluation of Plant Extracts against the growth of Colletotrichum gloeosporioides

All leaves of Aloe Vera (Gawar paatha) Azadirachta indica (Neem) as well as Moringa (Sohangana) were

collected from the forestry area of University of Agriculture Faisalabad and these were brought to mycology

lab for further proceeding Firstly these leaves were washed with the help of distilled water and then dried

After drying the juice of each material was extracted one by one by using 50 milliliter of water and 250

gram of material in the electric juice machine Then each juice was sieved with the help of muslin cloth

then required amount of 250 milliliter were set with flasks and 2g of detergent was added then the extracts

were transferred to the transparent plastic bottles with tags these bottles were stored at cool temperature

for 24 hours at normal cooling temperature On the second day 50 ml of distilled water was again added to

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the solutions Two concentrations 10 and 15 of each plant extract were used5 ml and 75 ml of plant

extract were added in 50 ml of distill water to make desired concentration

RESULT AND DISCUSSION

The present experiments on mango anthracnose were performed at Plant Pathology Department

University of Agriculture Faisalabad To obtain culture (C gloeosporioides) simple isolation technique was

used The infected leaves flowers twigs and fruits sample were cut into small portions of 05cm size and

were subjected to surface sterilization using 01 NaClO solution for 2-3 minutes followed by consecutive

3 rinses in distilled water Such small portions were transferred to the petri plates having autoclaved PDA

media and incubated at 25plusmn1 degree centigrade After 5-8 days isolates of Colletotrichum gloeosporioides

appeared on diseased leaves flower twigs and fruits portions were identified and were transferred to PDA

(potato dextrose agar) slants for more purification process The pure cultures of Colletotrichum

gloeosporioides were maintained in refrigerator as well as sub -cultured periodically during the course of

this experiment The data was analyzed by ANOVA (analysis of variance) as well as the significance

differences within the treatments were separated by the use of CRD test

Frequency of isolated pathogens from collected samples ()

The results showed that the twigs were most susceptible part of the plant as compared to leaves fruits and

flowers and from the collected samples the maximum percentage was Colletotrichum gloeosporioides

followed by Alternaria alternate and Fusarium spp

Table 1 Percentage of different isolated pathogens

Plant parts No of Samples C gloeosporioides A alternata Fusarium spp

Leaves 50 70 18 12

Twigs 30 7333 1666 10

Flowers 6 666 1666 1666

Fruits 10 60 30 10

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 2) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

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Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

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Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

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(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

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Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

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Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

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Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Page 3: Evaluation of different fungicides for the management of

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Iqbal et al 2019 The Int J Biol Res

cultivated is 167-5 thousand ha and 1732 thousand tons is the production of mango per ha (FAO 2016)

Mango fruit has charming taste and aroma and its nutritional value is very high (Ibarra Ramos amp

Hernandez 2015) Mango remains have large value of lipids protein and carbohydrates which can be used

in the food industry (O`Shea et al 2012) Mango is attacked by a number of disorders as well as diseases

almost at each developmental stage from seedling to fruit formation (Alemu 2014) Fungal diseases are

responsible to crop losses and export losses are due to postharvest diseases (Prakash 2004) The mango

fruit and tree are commonly host for various pathogens especially fungi which are responsible for

postharvest rot of fruit throughout the world (Diedhious et al 2007) Rajwana et al (2011) described that

the quality of mango fruit was reducing in Pakistan because of some factors such as infestation of pests

diseases as well as due to certain physiological disorders It is no doubted that different mango diseases

are spreading in different areas of country and anthracnose root rot dieback diseases as well as some

others (wilts and cankers) are usually infecting the crop (Nafees et al 2013) The mango is regarded to be

attacked by many diseases that destroys different parts of plant Sooty mould (Capnodium romasum or

Tripospermu macorium) Powdery mildew (Oidium mangiferae) leaf blight (Pestaloptiopsis mangiferae)

root rot (Rhizocotonia and Fusarium species) stem blight or die back are highlighted as fungal diseases

(Khalid et al 2002)The different pathogens such as bacteria fungi viruses and other microorganism which

are sources of anthracnose powdery mildew bacterial blight malformation and mango decline diseases

are problematic factors for mango farmers in the production of mango fruit in Pakistan (Khalid et al 2002)

Out of these diseases anthracnose of mango which is due to C gloeosporioides is the very dangerous

disease of mango (Ploetz 2003)

Anthracnose is one of the fungal pathogens having sunken lesions dark to brown spots on leaves stems

foliage as well as on fruits Anthracnose is commonly is reemerging problem of mango throughout the

world It is regarded as most damaging and harmful disease of plants according to economic point of view

having a diverse number of host ranging from grasses to tree plants (Abang MM 2003) Anthracnose of

mango has been found in all those areas of the world where climatic conditions favor the mango production

and is considered most damaging disease in field condition as well as postharvest disease of mango fruit

(Sangeetha and Rawal 2009) Anthracnose cause reduction both in fruit production and fruit quality

Almost all mango varieties are affected due to mango anthracnose The most damaging effect of mango

anthracnose can be seen in the regions where at the time of flowering and fruit setting it rains The conidia

having a structure conidiophore (which is a single celled structure) is an infective part of Colletotrichum

pathogen Thick walled mycelia of dark color are produced by the pathogen which may be light in color at

tips

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In mangoes flowering and the early stage of fruit development are supporting stage of infection The

anthracnose causing pathogen has the ability to enter into green mango fruits and remain dormant until

the ripening of fruit After the ripening of fruit the anthracnose pathogen has the ability to reactivate due

to physiological changes regarding to ripening process and the changes may be lesion development with

fruit spoilage spot development on leaves especially at leaf margins (Assis JS 2004) Colletotrichum genus

is one of the important plant pathogen which is responsible to cause an anthracnose in variety of plants

including vegetables cereals fruits ornamental plants as well as on grasses in tropical and temperate areas

(Rojas et al 2010) Earlier the Colletotrichum gloeosporioides was considered as widespread species and a

large number of host plants are affected by this pathogen including fruits of tropical area (Phoulivong et

al 2010) Latest studies described that fungal pathogen Colletotrichum is one of the Pathogens of scientific

as well as economic importance (Dean et al 2012)

There are many fungal genera which are responsible to cause mango anthracnose disease such as Elsino

spp Diplocarpon spp and especially Colletotrichum species and these Colletotrichum species are major

reason to cause loss in most of the tropical fruit plants The pathogen Colletotrichum gloeosporioides

belongs to class Deuteromycetes and its order is Melanconales The sexual stage of fungus is telomorph or

Glomerella but of least significant in disease cycle and the sexual stage or anamorph ie Colletottrichum

which responsible to cause mango anthracnose disease The anthracnose pathogen is widespread

pathogen by which all the parts of plant are attacked at any stage of growth Glomerellla the perfect stage

and Colletotrichum the imperfect stage may exist on same host as well as on same parts of that host plant

However the symptoms as well as spore of pink colour are not produced by Glomerella on agar as that of

Colletotrichum (Abang MM 2003)

The pathogen may damage different parts of mango and cause severe infection in young fruits (Pitkethley

and Conde 2007) The disease incidence may be 100 on fruits which are produced under very humid as

well as wet conditions due to the attack of this pathogen Colletotrichum gloeosporioides (Arauz 2000) The

fruits which look healthy at the time of harvesting may develop larger symptoms of anthracnose very

quickly after ripening and the fruits which are infected at maturity stage carry this fungal pathogen into

storage conditions and are responsible to cause a huge losses during storage as well as in marketing

(Haggag 2010) Yield losses due to this disease are observed 2-39 (Prabakar et al 2005) in the month of

July losses increase more than 47 while 517 losses are observed in the month of august (Prabakar et

al 2005) For the development of Lasidodioplo diatheobromae the optimum temperature of twig blight is

between 20 -30deg C (Adeniyi et al 2011)

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Iqbal et al 2019 The Int J Biol Res

Rain temperature and humidity are the primary abiotic agents which affect the onset of various diseases

of mango Stem end rot Aspergillus rot and anthracnose are more dominant under high humidity as well

as in moist condition (Iram et al 2013)In the regions with heavy rainfall at the time of flowering and fruit

setting anthracnose is more dominant lead to heavy fruit losses upto 35 (Martinez et al 2009) Spores

of C gloeosporioides are spread by rain drops but the spores of Alternaria spp are dispersed by wind (Iram

et al 2013) The mango anthracnose disease is managed by using the different control strategies such as

sanitation practices discarding of infected portions and parts of host which promote infection by the use

of KNo3 which promotes flowering by the use different biological and chemical control strategies (Prusky

et al 2009)

In the light of these facts the current work has been done keeping in view the following objectives

OBJECTIVES

To isolate and study the pathogen associated with the diseased parts

To evaluate the fungicides against this pathogen and to find out the most effective against C

gloeosporioides

To meet the commercial production of mango at global level

MATERIALS AND METHODS

Sample Collection

The diseased leaves twigs flowers and fruits samples of mango with typical symptoms were collected

from the AARI and nine square area of UAF and were brought to the mycology lab for further proceeding

Preparation of medium

Potato dextrose agar (PDA)

For the preparation of 1litre of media following ingredients were used

Peeled potato 400gm

Agar-agar 20gm

Glucose 20gm

Distilled water 1000ml

For the preparation of media such as PDA 400g of peeled potato were boiled in 1 liter of sterilized water

in the pan for 10 to 15 minutes in order to get starch in a boiling water After the cooling of water the

remaining ingredients were added into this starch containing water by thoroughly mixing it in the flask

After this the media was autoclaved at a temperature of 121˚ C maintaining the fifteen psi pressure for

thirty minutes Then the flask media was allowed to cool at a temperature of 54deg C Then flask media as

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Iqbal et al 2019 The Int J Biol Res

well as petri dishes were taken out from the autoclave At the end this flask media was poured into the

sterilized petri dishes To avoid the contamination all procedure was done in a chamber

Isolation

The pathogen was isolated from the infected leaves twigs flowers and fruits by cutting a small section of

anthracnose infected portion and healthy piece of leaves twigs flowers and fruits Then surface

sterilization was done by applying 01 NaClO for 1 to 2 minute and then was washed with distilled water

2-3 times After this it was placed into the already prepared media and was incubated at 25-28degC

Identification

The pathogen was identified under light microscope by keeping in view the growth pattern morphology as

well as colony color of pathogen

In-Vitro Evaluation of Fungicides

For the evaluation of various fungicides in the lab condition 4 fungicides were selected to check the

sensitivity of Colletotrichum gloeosporioides During the experiment PDA medium as a control as well as

with fungicides such as [Revus (Mandipropamid 250gl Syngenta) Curzate (Cymoxanil 600gkg Du

Pont) AmistarTop (Azoxystrobin 180gl + Difenoconazole 740gl Syngenta) and Score

(Difenoconazole 250gl Syngenta)] at four (102050 and 100 ppm) different concentrations were

examined against the pathogen Colletotrichum gloeosporioides under vitro condition by following the food

poisoned technique The stock solutions by thoroughly mixing the PDA of 100mm with 100ml fungicides

(by using 1gram of these fungicides into the 100ml of sterilized water) were formed Petri dishes of 9cm

size were filled with 20ml of media and 4-5 days old culture with mycelia growth of 5mm was inoculated in

the center of each petri plate and then these plates were incubated at 25plusmn1degCFour replications were

maintained of each treatment Colony diameter was measured in (mm) of all the treatments and reduction

in growth due to these fungicides was checked

Evaluation of Plant Extracts against the growth of Colletotrichum gloeosporioides

All leaves of Aloe Vera (Gawar paatha) Azadirachta indica (Neem) as well as Moringa (Sohangana) were

collected from the forestry area of University of Agriculture Faisalabad and these were brought to mycology

lab for further proceeding Firstly these leaves were washed with the help of distilled water and then dried

After drying the juice of each material was extracted one by one by using 50 milliliter of water and 250

gram of material in the electric juice machine Then each juice was sieved with the help of muslin cloth

then required amount of 250 milliliter were set with flasks and 2g of detergent was added then the extracts

were transferred to the transparent plastic bottles with tags these bottles were stored at cool temperature

for 24 hours at normal cooling temperature On the second day 50 ml of distilled water was again added to

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Iqbal et al 2019 The Int J Biol Res

the solutions Two concentrations 10 and 15 of each plant extract were used5 ml and 75 ml of plant

extract were added in 50 ml of distill water to make desired concentration

RESULT AND DISCUSSION

The present experiments on mango anthracnose were performed at Plant Pathology Department

University of Agriculture Faisalabad To obtain culture (C gloeosporioides) simple isolation technique was

used The infected leaves flowers twigs and fruits sample were cut into small portions of 05cm size and

were subjected to surface sterilization using 01 NaClO solution for 2-3 minutes followed by consecutive

3 rinses in distilled water Such small portions were transferred to the petri plates having autoclaved PDA

media and incubated at 25plusmn1 degree centigrade After 5-8 days isolates of Colletotrichum gloeosporioides

appeared on diseased leaves flower twigs and fruits portions were identified and were transferred to PDA

(potato dextrose agar) slants for more purification process The pure cultures of Colletotrichum

gloeosporioides were maintained in refrigerator as well as sub -cultured periodically during the course of

this experiment The data was analyzed by ANOVA (analysis of variance) as well as the significance

differences within the treatments were separated by the use of CRD test

Frequency of isolated pathogens from collected samples ()

The results showed that the twigs were most susceptible part of the plant as compared to leaves fruits and

flowers and from the collected samples the maximum percentage was Colletotrichum gloeosporioides

followed by Alternaria alternate and Fusarium spp

Table 1 Percentage of different isolated pathogens

Plant parts No of Samples C gloeosporioides A alternata Fusarium spp

Leaves 50 70 18 12

Twigs 30 7333 1666 10

Flowers 6 666 1666 1666

Fruits 10 60 30 10

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 2) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

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Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

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Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

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Iqbal et al 2019 The Int J Biol Res

Page 4: Evaluation of different fungicides for the management of

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Iqbal et al 2019 The Int J Biol Res

In mangoes flowering and the early stage of fruit development are supporting stage of infection The

anthracnose causing pathogen has the ability to enter into green mango fruits and remain dormant until

the ripening of fruit After the ripening of fruit the anthracnose pathogen has the ability to reactivate due

to physiological changes regarding to ripening process and the changes may be lesion development with

fruit spoilage spot development on leaves especially at leaf margins (Assis JS 2004) Colletotrichum genus

is one of the important plant pathogen which is responsible to cause an anthracnose in variety of plants

including vegetables cereals fruits ornamental plants as well as on grasses in tropical and temperate areas

(Rojas et al 2010) Earlier the Colletotrichum gloeosporioides was considered as widespread species and a

large number of host plants are affected by this pathogen including fruits of tropical area (Phoulivong et

al 2010) Latest studies described that fungal pathogen Colletotrichum is one of the Pathogens of scientific

as well as economic importance (Dean et al 2012)

There are many fungal genera which are responsible to cause mango anthracnose disease such as Elsino

spp Diplocarpon spp and especially Colletotrichum species and these Colletotrichum species are major

reason to cause loss in most of the tropical fruit plants The pathogen Colletotrichum gloeosporioides

belongs to class Deuteromycetes and its order is Melanconales The sexual stage of fungus is telomorph or

Glomerella but of least significant in disease cycle and the sexual stage or anamorph ie Colletottrichum

which responsible to cause mango anthracnose disease The anthracnose pathogen is widespread

pathogen by which all the parts of plant are attacked at any stage of growth Glomerellla the perfect stage

and Colletotrichum the imperfect stage may exist on same host as well as on same parts of that host plant

However the symptoms as well as spore of pink colour are not produced by Glomerella on agar as that of

Colletotrichum (Abang MM 2003)

The pathogen may damage different parts of mango and cause severe infection in young fruits (Pitkethley

and Conde 2007) The disease incidence may be 100 on fruits which are produced under very humid as

well as wet conditions due to the attack of this pathogen Colletotrichum gloeosporioides (Arauz 2000) The

fruits which look healthy at the time of harvesting may develop larger symptoms of anthracnose very

quickly after ripening and the fruits which are infected at maturity stage carry this fungal pathogen into

storage conditions and are responsible to cause a huge losses during storage as well as in marketing

(Haggag 2010) Yield losses due to this disease are observed 2-39 (Prabakar et al 2005) in the month of

July losses increase more than 47 while 517 losses are observed in the month of august (Prabakar et

al 2005) For the development of Lasidodioplo diatheobromae the optimum temperature of twig blight is

between 20 -30deg C (Adeniyi et al 2011)

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Iqbal et al 2019 The Int J Biol Res

Rain temperature and humidity are the primary abiotic agents which affect the onset of various diseases

of mango Stem end rot Aspergillus rot and anthracnose are more dominant under high humidity as well

as in moist condition (Iram et al 2013)In the regions with heavy rainfall at the time of flowering and fruit

setting anthracnose is more dominant lead to heavy fruit losses upto 35 (Martinez et al 2009) Spores

of C gloeosporioides are spread by rain drops but the spores of Alternaria spp are dispersed by wind (Iram

et al 2013) The mango anthracnose disease is managed by using the different control strategies such as

sanitation practices discarding of infected portions and parts of host which promote infection by the use

of KNo3 which promotes flowering by the use different biological and chemical control strategies (Prusky

et al 2009)

In the light of these facts the current work has been done keeping in view the following objectives

OBJECTIVES

To isolate and study the pathogen associated with the diseased parts

To evaluate the fungicides against this pathogen and to find out the most effective against C

gloeosporioides

To meet the commercial production of mango at global level

MATERIALS AND METHODS

Sample Collection

The diseased leaves twigs flowers and fruits samples of mango with typical symptoms were collected

from the AARI and nine square area of UAF and were brought to the mycology lab for further proceeding

Preparation of medium

Potato dextrose agar (PDA)

For the preparation of 1litre of media following ingredients were used

Peeled potato 400gm

Agar-agar 20gm

Glucose 20gm

Distilled water 1000ml

For the preparation of media such as PDA 400g of peeled potato were boiled in 1 liter of sterilized water

in the pan for 10 to 15 minutes in order to get starch in a boiling water After the cooling of water the

remaining ingredients were added into this starch containing water by thoroughly mixing it in the flask

After this the media was autoclaved at a temperature of 121˚ C maintaining the fifteen psi pressure for

thirty minutes Then the flask media was allowed to cool at a temperature of 54deg C Then flask media as

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Iqbal et al 2019 The Int J Biol Res

well as petri dishes were taken out from the autoclave At the end this flask media was poured into the

sterilized petri dishes To avoid the contamination all procedure was done in a chamber

Isolation

The pathogen was isolated from the infected leaves twigs flowers and fruits by cutting a small section of

anthracnose infected portion and healthy piece of leaves twigs flowers and fruits Then surface

sterilization was done by applying 01 NaClO for 1 to 2 minute and then was washed with distilled water

2-3 times After this it was placed into the already prepared media and was incubated at 25-28degC

Identification

The pathogen was identified under light microscope by keeping in view the growth pattern morphology as

well as colony color of pathogen

In-Vitro Evaluation of Fungicides

For the evaluation of various fungicides in the lab condition 4 fungicides were selected to check the

sensitivity of Colletotrichum gloeosporioides During the experiment PDA medium as a control as well as

with fungicides such as [Revus (Mandipropamid 250gl Syngenta) Curzate (Cymoxanil 600gkg Du

Pont) AmistarTop (Azoxystrobin 180gl + Difenoconazole 740gl Syngenta) and Score

(Difenoconazole 250gl Syngenta)] at four (102050 and 100 ppm) different concentrations were

examined against the pathogen Colletotrichum gloeosporioides under vitro condition by following the food

poisoned technique The stock solutions by thoroughly mixing the PDA of 100mm with 100ml fungicides

(by using 1gram of these fungicides into the 100ml of sterilized water) were formed Petri dishes of 9cm

size were filled with 20ml of media and 4-5 days old culture with mycelia growth of 5mm was inoculated in

the center of each petri plate and then these plates were incubated at 25plusmn1degCFour replications were

maintained of each treatment Colony diameter was measured in (mm) of all the treatments and reduction

in growth due to these fungicides was checked

Evaluation of Plant Extracts against the growth of Colletotrichum gloeosporioides

All leaves of Aloe Vera (Gawar paatha) Azadirachta indica (Neem) as well as Moringa (Sohangana) were

collected from the forestry area of University of Agriculture Faisalabad and these were brought to mycology

lab for further proceeding Firstly these leaves were washed with the help of distilled water and then dried

After drying the juice of each material was extracted one by one by using 50 milliliter of water and 250

gram of material in the electric juice machine Then each juice was sieved with the help of muslin cloth

then required amount of 250 milliliter were set with flasks and 2g of detergent was added then the extracts

were transferred to the transparent plastic bottles with tags these bottles were stored at cool temperature

for 24 hours at normal cooling temperature On the second day 50 ml of distilled water was again added to

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Iqbal et al 2019 The Int J Biol Res

the solutions Two concentrations 10 and 15 of each plant extract were used5 ml and 75 ml of plant

extract were added in 50 ml of distill water to make desired concentration

RESULT AND DISCUSSION

The present experiments on mango anthracnose were performed at Plant Pathology Department

University of Agriculture Faisalabad To obtain culture (C gloeosporioides) simple isolation technique was

used The infected leaves flowers twigs and fruits sample were cut into small portions of 05cm size and

were subjected to surface sterilization using 01 NaClO solution for 2-3 minutes followed by consecutive

3 rinses in distilled water Such small portions were transferred to the petri plates having autoclaved PDA

media and incubated at 25plusmn1 degree centigrade After 5-8 days isolates of Colletotrichum gloeosporioides

appeared on diseased leaves flower twigs and fruits portions were identified and were transferred to PDA

(potato dextrose agar) slants for more purification process The pure cultures of Colletotrichum

gloeosporioides were maintained in refrigerator as well as sub -cultured periodically during the course of

this experiment The data was analyzed by ANOVA (analysis of variance) as well as the significance

differences within the treatments were separated by the use of CRD test

Frequency of isolated pathogens from collected samples ()

The results showed that the twigs were most susceptible part of the plant as compared to leaves fruits and

flowers and from the collected samples the maximum percentage was Colletotrichum gloeosporioides

followed by Alternaria alternate and Fusarium spp

Table 1 Percentage of different isolated pathogens

Plant parts No of Samples C gloeosporioides A alternata Fusarium spp

Leaves 50 70 18 12

Twigs 30 7333 1666 10

Flowers 6 666 1666 1666

Fruits 10 60 30 10

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 2) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

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Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

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Iqbal et al 2019 The Int J Biol Res

Page 5: Evaluation of different fungicides for the management of

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Iqbal et al 2019 The Int J Biol Res

Rain temperature and humidity are the primary abiotic agents which affect the onset of various diseases

of mango Stem end rot Aspergillus rot and anthracnose are more dominant under high humidity as well

as in moist condition (Iram et al 2013)In the regions with heavy rainfall at the time of flowering and fruit

setting anthracnose is more dominant lead to heavy fruit losses upto 35 (Martinez et al 2009) Spores

of C gloeosporioides are spread by rain drops but the spores of Alternaria spp are dispersed by wind (Iram

et al 2013) The mango anthracnose disease is managed by using the different control strategies such as

sanitation practices discarding of infected portions and parts of host which promote infection by the use

of KNo3 which promotes flowering by the use different biological and chemical control strategies (Prusky

et al 2009)

In the light of these facts the current work has been done keeping in view the following objectives

OBJECTIVES

To isolate and study the pathogen associated with the diseased parts

To evaluate the fungicides against this pathogen and to find out the most effective against C

gloeosporioides

To meet the commercial production of mango at global level

MATERIALS AND METHODS

Sample Collection

The diseased leaves twigs flowers and fruits samples of mango with typical symptoms were collected

from the AARI and nine square area of UAF and were brought to the mycology lab for further proceeding

Preparation of medium

Potato dextrose agar (PDA)

For the preparation of 1litre of media following ingredients were used

Peeled potato 400gm

Agar-agar 20gm

Glucose 20gm

Distilled water 1000ml

For the preparation of media such as PDA 400g of peeled potato were boiled in 1 liter of sterilized water

in the pan for 10 to 15 minutes in order to get starch in a boiling water After the cooling of water the

remaining ingredients were added into this starch containing water by thoroughly mixing it in the flask

After this the media was autoclaved at a temperature of 121˚ C maintaining the fifteen psi pressure for

thirty minutes Then the flask media was allowed to cool at a temperature of 54deg C Then flask media as

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Iqbal et al 2019 The Int J Biol Res

well as petri dishes were taken out from the autoclave At the end this flask media was poured into the

sterilized petri dishes To avoid the contamination all procedure was done in a chamber

Isolation

The pathogen was isolated from the infected leaves twigs flowers and fruits by cutting a small section of

anthracnose infected portion and healthy piece of leaves twigs flowers and fruits Then surface

sterilization was done by applying 01 NaClO for 1 to 2 minute and then was washed with distilled water

2-3 times After this it was placed into the already prepared media and was incubated at 25-28degC

Identification

The pathogen was identified under light microscope by keeping in view the growth pattern morphology as

well as colony color of pathogen

In-Vitro Evaluation of Fungicides

For the evaluation of various fungicides in the lab condition 4 fungicides were selected to check the

sensitivity of Colletotrichum gloeosporioides During the experiment PDA medium as a control as well as

with fungicides such as [Revus (Mandipropamid 250gl Syngenta) Curzate (Cymoxanil 600gkg Du

Pont) AmistarTop (Azoxystrobin 180gl + Difenoconazole 740gl Syngenta) and Score

(Difenoconazole 250gl Syngenta)] at four (102050 and 100 ppm) different concentrations were

examined against the pathogen Colletotrichum gloeosporioides under vitro condition by following the food

poisoned technique The stock solutions by thoroughly mixing the PDA of 100mm with 100ml fungicides

(by using 1gram of these fungicides into the 100ml of sterilized water) were formed Petri dishes of 9cm

size were filled with 20ml of media and 4-5 days old culture with mycelia growth of 5mm was inoculated in

the center of each petri plate and then these plates were incubated at 25plusmn1degCFour replications were

maintained of each treatment Colony diameter was measured in (mm) of all the treatments and reduction

in growth due to these fungicides was checked

Evaluation of Plant Extracts against the growth of Colletotrichum gloeosporioides

All leaves of Aloe Vera (Gawar paatha) Azadirachta indica (Neem) as well as Moringa (Sohangana) were

collected from the forestry area of University of Agriculture Faisalabad and these were brought to mycology

lab for further proceeding Firstly these leaves were washed with the help of distilled water and then dried

After drying the juice of each material was extracted one by one by using 50 milliliter of water and 250

gram of material in the electric juice machine Then each juice was sieved with the help of muslin cloth

then required amount of 250 milliliter were set with flasks and 2g of detergent was added then the extracts

were transferred to the transparent plastic bottles with tags these bottles were stored at cool temperature

for 24 hours at normal cooling temperature On the second day 50 ml of distilled water was again added to

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Iqbal et al 2019 The Int J Biol Res

the solutions Two concentrations 10 and 15 of each plant extract were used5 ml and 75 ml of plant

extract were added in 50 ml of distill water to make desired concentration

RESULT AND DISCUSSION

The present experiments on mango anthracnose were performed at Plant Pathology Department

University of Agriculture Faisalabad To obtain culture (C gloeosporioides) simple isolation technique was

used The infected leaves flowers twigs and fruits sample were cut into small portions of 05cm size and

were subjected to surface sterilization using 01 NaClO solution for 2-3 minutes followed by consecutive

3 rinses in distilled water Such small portions were transferred to the petri plates having autoclaved PDA

media and incubated at 25plusmn1 degree centigrade After 5-8 days isolates of Colletotrichum gloeosporioides

appeared on diseased leaves flower twigs and fruits portions were identified and were transferred to PDA

(potato dextrose agar) slants for more purification process The pure cultures of Colletotrichum

gloeosporioides were maintained in refrigerator as well as sub -cultured periodically during the course of

this experiment The data was analyzed by ANOVA (analysis of variance) as well as the significance

differences within the treatments were separated by the use of CRD test

Frequency of isolated pathogens from collected samples ()

The results showed that the twigs were most susceptible part of the plant as compared to leaves fruits and

flowers and from the collected samples the maximum percentage was Colletotrichum gloeosporioides

followed by Alternaria alternate and Fusarium spp

Table 1 Percentage of different isolated pathogens

Plant parts No of Samples C gloeosporioides A alternata Fusarium spp

Leaves 50 70 18 12

Twigs 30 7333 1666 10

Flowers 6 666 1666 1666

Fruits 10 60 30 10

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 2) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Page 6: Evaluation of different fungicides for the management of

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Iqbal et al 2019 The Int J Biol Res

well as petri dishes were taken out from the autoclave At the end this flask media was poured into the

sterilized petri dishes To avoid the contamination all procedure was done in a chamber

Isolation

The pathogen was isolated from the infected leaves twigs flowers and fruits by cutting a small section of

anthracnose infected portion and healthy piece of leaves twigs flowers and fruits Then surface

sterilization was done by applying 01 NaClO for 1 to 2 minute and then was washed with distilled water

2-3 times After this it was placed into the already prepared media and was incubated at 25-28degC

Identification

The pathogen was identified under light microscope by keeping in view the growth pattern morphology as

well as colony color of pathogen

In-Vitro Evaluation of Fungicides

For the evaluation of various fungicides in the lab condition 4 fungicides were selected to check the

sensitivity of Colletotrichum gloeosporioides During the experiment PDA medium as a control as well as

with fungicides such as [Revus (Mandipropamid 250gl Syngenta) Curzate (Cymoxanil 600gkg Du

Pont) AmistarTop (Azoxystrobin 180gl + Difenoconazole 740gl Syngenta) and Score

(Difenoconazole 250gl Syngenta)] at four (102050 and 100 ppm) different concentrations were

examined against the pathogen Colletotrichum gloeosporioides under vitro condition by following the food

poisoned technique The stock solutions by thoroughly mixing the PDA of 100mm with 100ml fungicides

(by using 1gram of these fungicides into the 100ml of sterilized water) were formed Petri dishes of 9cm

size were filled with 20ml of media and 4-5 days old culture with mycelia growth of 5mm was inoculated in

the center of each petri plate and then these plates were incubated at 25plusmn1degCFour replications were

maintained of each treatment Colony diameter was measured in (mm) of all the treatments and reduction

in growth due to these fungicides was checked

Evaluation of Plant Extracts against the growth of Colletotrichum gloeosporioides

All leaves of Aloe Vera (Gawar paatha) Azadirachta indica (Neem) as well as Moringa (Sohangana) were

collected from the forestry area of University of Agriculture Faisalabad and these were brought to mycology

lab for further proceeding Firstly these leaves were washed with the help of distilled water and then dried

After drying the juice of each material was extracted one by one by using 50 milliliter of water and 250

gram of material in the electric juice machine Then each juice was sieved with the help of muslin cloth

then required amount of 250 milliliter were set with flasks and 2g of detergent was added then the extracts

were transferred to the transparent plastic bottles with tags these bottles were stored at cool temperature

for 24 hours at normal cooling temperature On the second day 50 ml of distilled water was again added to

23 | P a g e

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Iqbal et al 2019 The Int J Biol Res

the solutions Two concentrations 10 and 15 of each plant extract were used5 ml and 75 ml of plant

extract were added in 50 ml of distill water to make desired concentration

RESULT AND DISCUSSION

The present experiments on mango anthracnose were performed at Plant Pathology Department

University of Agriculture Faisalabad To obtain culture (C gloeosporioides) simple isolation technique was

used The infected leaves flowers twigs and fruits sample were cut into small portions of 05cm size and

were subjected to surface sterilization using 01 NaClO solution for 2-3 minutes followed by consecutive

3 rinses in distilled water Such small portions were transferred to the petri plates having autoclaved PDA

media and incubated at 25plusmn1 degree centigrade After 5-8 days isolates of Colletotrichum gloeosporioides

appeared on diseased leaves flower twigs and fruits portions were identified and were transferred to PDA

(potato dextrose agar) slants for more purification process The pure cultures of Colletotrichum

gloeosporioides were maintained in refrigerator as well as sub -cultured periodically during the course of

this experiment The data was analyzed by ANOVA (analysis of variance) as well as the significance

differences within the treatments were separated by the use of CRD test

Frequency of isolated pathogens from collected samples ()

The results showed that the twigs were most susceptible part of the plant as compared to leaves fruits and

flowers and from the collected samples the maximum percentage was Colletotrichum gloeosporioides

followed by Alternaria alternate and Fusarium spp

Table 1 Percentage of different isolated pathogens

Plant parts No of Samples C gloeosporioides A alternata Fusarium spp

Leaves 50 70 18 12

Twigs 30 7333 1666 10

Flowers 6 666 1666 1666

Fruits 10 60 30 10

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 2) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Page 7: Evaluation of different fungicides for the management of

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Iqbal et al 2019 The Int J Biol Res

the solutions Two concentrations 10 and 15 of each plant extract were used5 ml and 75 ml of plant

extract were added in 50 ml of distill water to make desired concentration

RESULT AND DISCUSSION

The present experiments on mango anthracnose were performed at Plant Pathology Department

University of Agriculture Faisalabad To obtain culture (C gloeosporioides) simple isolation technique was

used The infected leaves flowers twigs and fruits sample were cut into small portions of 05cm size and

were subjected to surface sterilization using 01 NaClO solution for 2-3 minutes followed by consecutive

3 rinses in distilled water Such small portions were transferred to the petri plates having autoclaved PDA

media and incubated at 25plusmn1 degree centigrade After 5-8 days isolates of Colletotrichum gloeosporioides

appeared on diseased leaves flower twigs and fruits portions were identified and were transferred to PDA

(potato dextrose agar) slants for more purification process The pure cultures of Colletotrichum

gloeosporioides were maintained in refrigerator as well as sub -cultured periodically during the course of

this experiment The data was analyzed by ANOVA (analysis of variance) as well as the significance

differences within the treatments were separated by the use of CRD test

Frequency of isolated pathogens from collected samples ()

The results showed that the twigs were most susceptible part of the plant as compared to leaves fruits and

flowers and from the collected samples the maximum percentage was Colletotrichum gloeosporioides

followed by Alternaria alternate and Fusarium spp

Table 1 Percentage of different isolated pathogens

Plant parts No of Samples C gloeosporioides A alternata Fusarium spp

Leaves 50 70 18 12

Twigs 30 7333 1666 10

Flowers 6 666 1666 1666

Fruits 10 60 30 10

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 2) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

24 | P a g e

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

28 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Page 8: Evaluation of different fungicides for the management of

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Iqbal et al 2019 The Int J Biol Res

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54966 283533 42444 435135 495033 mm respectively)

Graph 1 Effect of different treatments at 10ppm on the mycelial growth of fungus at 5 days interval

Table 2 Analysis of variance for treatments at 10 ppm at 5 days interval

Source DF SS MS F P

f 3 122141 407136 163 01795

Error 1 2495 24945

Total 4 124635

Grand Mean 33861 CV 1475

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 3) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (54133 262866 396166 412922 485433 mm respectively)

Graph 2 Effect of different treatments at 20ppm on the mycelial growth of fungus at 5 days interval

4975

4325

28

42

575

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

10ppm

25 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

26 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

27 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

28 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

29 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

30 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 9: Evaluation of different fungicides for the management of

25 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Table 3 Analysis of variance for treatments at 20ppm at 5 days interval

Source DF SS MS F P

f 3 111740 372467 935 02349

Error 1 3985 39846

Total 4 115725

Grand Mean 32230 CV 1959

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration

showed significant difference for the growth of mycelium so result indicate there difference in growth of

mycelium at different growth medium (Table4) There were four various fungicides along with one control

treatment like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score

was most effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by

Amistar Top Curzate Revus and Control(50866 224733 38444 3845 5066 mm respectively)

485

40

26

395

55

0

10

20

30

40

50

60

control revus amistar top curzate score

Myc

elli

al G

row

th

Treatments

20ppm

26 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

27 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

28 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

29 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

30 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Page 10: Evaluation of different fungicides for the management of

26 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 3 Effect of different treatments at 50ppm on the mycelial growth of fungus at 5 days interval

Table 4 Analysis of variance for treatments at 50ppm at 5 days interval

Source DF SS MS F P

f 3 116744 389148 522 03089

Error 1 7462 74615

Total 4 124206

Grand Mean 31014 CV 2785

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 5) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Revus Curzate and Control (495 223333 354066 372666 5042222 mm respectively)

5175

385

225

3825

5

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial G

row

th

Treatments

50ppm

27 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

28 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

29 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

30 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Page 11: Evaluation of different fungicides for the management of

27 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 4 Effect of different treatments at 100ppm on the mycelial growth of fungus at 5 days interval

Table 5 Analysis of variance for treatments at 100ppm at 5 days interval

Source DF SS MS F P

f 3 109885 366282 423 03398

Error 1 8654 86540

Total 4 118539

Grand Mean 30075 CV 3093

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 10 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 10ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table6) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 10ppm concentrations followed by Amistar Top

Curzate Revus and Control (96741977852815892 mm respectively)

51

355

2125

3775

475

0

10

20

30

40

50

60

control revus amistar top curzate score

My

cell

ial

Gro

wth

Treatments

100ppm

28 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

29 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

30 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 12: Evaluation of different fungicides for the management of

28 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Graph 5 Effect of different treatments at 10ppm on the mycelial growth of fungus at 9 days interval

Table 6 Analysis of variance for treatments at 10ppm at 9 days interval

Source DF SS MS F P

f 3 445889 148630 261 01428

Error 1 5703 5703

Total 4 451592

Grand Mean 60172 CV 1255

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 20 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 20ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 7) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 20ppm concentrations followed by Amistar Top

Revus Curzate and Control (9483 300171833754138933mm respectively)

Table 7 Analysis of variance for treatments at 20ppm at 9 days interval

Source DF SS MS F P

f 3 447801 149267 154 01846

908372

4168

7937

968

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

10ppm

29 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

30 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 13: Evaluation of different fungicides for the management of

29 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Error 1 9688 9688

Total 4 457490

Grand Mean 55216 CV 1783

Graph 6 Effect of different treatments at 20ppm on the mycelial growth of fungus at 9 days interval

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 50 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 50ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table8) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 50ppm concentrations followed by Amistar Top

Curzate Revus and Control(807332321 531456222 89351 mm respectively)

Table 8 Analysis of variance for treatments at 50 ppm at 9 days interval

Source DF SS MS F P

f 3 349394 116465 178 04924

Error 1 65544 65544

Total 4 414938

90

7073

3093

7602

905

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myce

llia

l G

row

th

Treatments

20ppm

30 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 14: Evaluation of different fungicides for the management of

30 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Graph 7 Effect of different treatments at 50ppm on the mycelial growth of fungus at 9 days interval

Grand Mean 47178 CV 5427

Efficacy of different fungicides against the mycelial growth of Colletotrichum gloeosporioides at 100 ppm

concentrations at 9 days interval

As results indicated that F-Value in ANOVA table for various fungicides at 100ppm concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium (Table 9) There were four various fungicides along with one control treatment

like (Revus Amistor Top Curzate Score and Control) evaluated for growth of mycelium Score was most

effective against the mycelial growth of Colletotrichum at 100ppm concentrations followed by Amistar Top

Curzate Revus and Control(73922 2444 51526 572999 9000 mm respectively)

Graph 8 Effect of different treatments at 100ppm on the mycelial growth of fungus at 9 days interval

90

6281

2387

5362

801

0

10

20

30

40

50

60

70

80

90

100

control revus amistar top curzate score

Myc

ellia

l Gro

wth

Treatments

50ppm

90

5712

2512

5168

737

0

20

40

60

80

100

control revus amistar top curzate score

Myce

llia

l G

row

t

Treatments

100ppm

31 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 15: Evaluation of different fungicides for the management of

31 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Table 9 Analysis of variance for treatments at 100 ppm at 9 days interval

Source DF SS MS F P

f 3 330941 110314 149 05273

Error 1 74012 74012

Total 4 404953

Grand Mean 46132 CV 5897

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 10

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 10 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 10 concentrations followed by Neem Aloevera and

Control (3232 47448 4996 and 67532 mm respectively)

Graph 9 Effect of plant extracts at 10 concentration at 5 days interval on the mycelia growth of fungus

Efficacy of different Plant Extracts against the mycelial growth of Colletotrichum gloeosporioides at 15

concentrations at 5 days interval

As results indicated that F-Value in ANOVA table for various plant extracts at 15 concentration showed

significant difference for the growth of mycelium so result indicate there difference in growth of mycelium

at different growth medium There were three various plant extracts along with one control treatment like

4755 4875 46045 4744885092 4776 512 4996

3175 3324 3197 3232

6643 68036 6813 67532

0

10

20

30

40

50

60

70

80

R1 R2 R3 mean

10conc

gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

32 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 16: Evaluation of different fungicides for the management of

32 | P a g e

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Iqbal et al 2019 The Int J Biol Res

(Neem Aloevera Moringa and Control) evaluated for growth of mycelium Moringa was most effective

against the mycelial growth of Colletotrichum at 15 concentrations followed by Neem Aloevera and

Control (2989 42 15 4553 and 737933 mm respectively)

Graph 10 Effect of plant extracts at 15 concentration at 5 days interval on the mycelia growth of fungus

Table 10 Completely Randomized ANOVA for P (Plants extracts)

42 431 4135 42154655 4547 4455 4553

3046 3012 2908 2989

7233 7326 7589 7379

0

10

20

30

40

50

60

70

80

90

R1 R2 R3 mean

5dayzz 15conc

Gro

wth

(

)

Treatments

Neem Aloevera Moringa Control

Source

DF

SS

MS

F

P

C

1

000000

000000

000

10000

Error

6

100000

166667

Total

7

100000

Grand Mean 25000 CV 5164

C Mean

10 25000

15 25000

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 17: Evaluation of different fungicides for the management of

33 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (10) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (25 and 5164 respectively)

Table 11 Completely Randomized ANOVA for R1

Our results given in the above ANOVA table (11) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48499 and 3308 respectively)

Table 12 Completely Randomized ANOVA for R2

SOV DF SS MS F P

C 1 352 3525 001 091

Error 6 154464 25744

Total 7 154817

Grand Mean 48499 CV 3308

C Mean

10 49163

15 47835

SOV DF SS MS F P

C 1 426 4257 002 09036

Error 6 159972 266620

Total 7 160398

Grand Mean 48717 CV 3352

C Mean

10 49447

15 47

09 87

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 18: Evaluation of different fungicides for the management of

34 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (12) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48717 and 3352 respectively

Table 13 Completely Randomized ANOVA for R3

Our results given in the above ANOVA table (13) showed that significant results when we used two different

concentrations (10 15) of three different plant extracts and control Mean value in both cases was same

with their respective grand mean and CV values (48527 and 3629 respectively

Table 14 Completely Randomized ANOVA for mean

SOV DF SS MS F P

C 1 524 5241 002 09008

Error 6 186072 310120

Total 7 186596

Grand Mean 48527 CV 3629

C Mean

10 49336

15 47718

SOV DF SS MS F P

C 1 435 4352 002 09042

Error 6 165791 276318

Total 7 166226

Grand Mean 48578 CV 3422

C Mean

10 49315

15 47840

35 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

1 Abang MM (2003) Genetic diversity of Colletotrichum gloeosporioides Penz causing anthracnose disease of yam (Dioscorea spp) and Mango (Mangifera indica) in Nigeria Bibliotheca Mycologica Vol 197 J Cramer in der Gebr Borntraeger Science Publishers Berlin Stuttgart

2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 19: Evaluation of different fungicides for the management of

35 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Our results given in the above ANOVA table (14) showed that significant results when we used two

different concentrations (10 15) of three different plant extracts and control Mean value in both cases

was same with their respective grand mean and CV values (48578 and 3422 respectively

CONCLUSION

Out of four different fungicides which were used along with one control treatment like (Score Amistar Top

Curzate and Revus) Score found to be most effective against the growth of fungal pathogen Colletotrichum

gloeosporioides at all concentrations at 5 days interval as well as 9 days interval

ACKNOWLEDGEMENT

I would like to express my very great appreciation to Dr Nasir Ahmad Khan for his valuable and constructive

suggestions during the planning and development of this research work His willingness to give his time so

generously has been very much appreciated Each of the members of my dissertation committee has

provided me extensive personal and professional guidance and taught me a great deal about this

research

REFERENCES

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2 Adeniyi DO Orisajo SB Fademi OA Adenuga OO Dongo LN (2011) Physiological studies of fungi complexes associated with cashew diseases Journal ofagriculture and Biological Science 634-38

3 Alemu K Ayalew A Woldetsadic K (2014) Effect of aqueous extracts of some medicinal plants in controlling anthracnose disease and improving postharvest quality of mango fruit Persion Gulf Crop Production 384-92

4 Anonymous (2011) Agricultural Statistics of Pakistan Government of Pakistan Ministory of Food Agriculture and Livestock Economic wing Islamabad

5 Assis JS (2004) Cultivo da mangucira colbeita e pos-colbeitaEmbrapa semi AridoPetrolina httpsistemasdeproducaocnptiaembrapa

6 Dean R Van Kan J A L Pretorius ZA Hammond-Kosack KE Di pietro A Spanu PD Rudd JJ Dickman M Kahmann R Ellis J Foster GD (2012) The Top 10 fungal pathogens in molecular plant pathology Molecular Plant Pathology 13414-430

7 Diedhious PM Mbaye N Drame A Samb PI (2007) Alterations of postharvest diseases of mango Mangifera indica through production practices and climate factors African Journal of Biotechnology 61087-1094

8 FAO (2003) The state of global mango economyftpftpfaoorgunfaobodiesccpba-tf04 ad628e

9 FAO (2016) Food and Agriculture Organization Corporate Statistical Database

10 Haggag WM (2010) Mango disease Agric Biol J N Am 1(3)285-289

11 Ibarra I Ramos P Hernandez C amp Jacobo D (2015) Effects of postharvest ripening on the nutraceutical and physicochemical properties of mango (Mangifera indica L cv Keitt) Postharvest Biology and Technology 103(2)45-54

36 | P a g e

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

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Iqbal et al 2019 The Int J Biol Res

Page 20: Evaluation of different fungicides for the management of

36 | P a g e

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Iqbal et al 2019 The Int J Biol Res

12 Iram S Meer H Ahmed I (2013) Major Post-Harvest Diseases of Mango and their management International Journal of Agronomyand Plant Production 43470-3484

13 Khalid P Akhtar S and Alam A (2002) Assessment Keys for Some Important Diseases of Mango Pak JBiol Sci 5(2) 246-250

14 Maqbool M Anwar R Ahmed S Memon NN Jameel M AkhtarFUZ and Aslam MN (2011) Flushing pattern of mango (Mangifera indica L) cultivars in response to pruning of panicles and its effect on carry over effect of floral malformation Pak J Agri Sci 4813-18

15 Martinez EP Hio JC Osorio JA Torres MF (2009) Identification of Colletotrichum species causing anthracnose on Tahiti lime tree tomato and mango Agronimia Colombia 27211-218

16 Mukherjee SK Litz RE (2009) Introduction botany and importance The mango Botany production and uses Department of Agriculture Calcutta universityp1-18

17 Nafees M S Ahmad R Anwar I Ahmad Maryyam and RR Hussnain 2013 Improved horticultural practices against leaf wilting root rot and nutrient uptake in mango (Mangifera indica L) Pak J Agri Sci 50 393-398

18 O`Shea N Arendt E ampGallagher E (2012) Dietary fiber and phytochemical characteristics of fruits and vegetable by-products and their recent applications as novel ingredients in food products Innovative Food Science amp Emerging Technologies 161-10

19 Onyeani CA Osunlaja S O Oworu O and Olufemi S (2012) First Report of Fruit Anthracnose in Mango caused by Colletotrichum gloeosporioides in Southwestern NigeriardquoInternJ of Scientific and Technology Research vol 430-34

20 Phoulivong S Lei C Hang C Eric HC Abdelsalam K et al (2010) Colletotrichum gloeosporioides is not a common pathogen

on tropical fruits Fungal Diversity 44(1)33-43

21 Pitkethley R and Cond B (2007a) Mango Anthracnose Agnote No 123 2007a Retrieved May 21 2009 from wwwntgovaudpifma

22 Plotez RC (2003) Diseases of Mango pp527-363 InRC Plotez (ed) Diseases of Tropical Fruit Crops CABI Publishing Wallingford UKpp544

23 Prabakar K Raguchander T Parthiban VK Muthulakshmi P and Prakasam V (2005) Postharvest fungal spoilage in mango at different levels marketing Madras Agrric J92(1-3) 42-48

24 Prakash OM (2004) Disease and Disorders of Mango and their Management Disease of Fruit and vegetable 1511-619

25 Prusky D and Keen N P (2009) Involvement of performed antifungal compounds in the resistance of subtropical fruits of fungal decay Plant Disease 77114-119

26 Rajwana IA KhanIA Malik AU Saleem BA Khan AS Zia K Anwar R and Amin M (2011) Morphological and biochemical markers for varietal characteristation and quality assessment of potential indigenous Mango (Mangifera indica) germplasm Int J AgricBiol13 151-158

27 Rojas EI Rehner SA Samuels GJVan Bael SA Herre EA et al (2010) Colletotrichum gloeosporioides associated with Theobroma cacao and other plants in Panama multilocus phylogenies distinguish host associated pathogens from asymptomatic endophytesMycologia 102(6) 1318-1338

28 Sangeetha CG and Rawal RD (2009) Temperature requirement of different isolates of Colletotrichum gloeosporioides isolated from mango AmEur JSciRes420

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res

Page 21: Evaluation of different fungicides for the management of

37 | P a g e

copy 2019 RnD Journals All Rights Reserved wwwrndjournalscom| OPEN ACCESS

Iqbal et al 2019 The Int J Biol Res