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BIOLOGY AND MANAGEMENT OF CHARCOAL ROT OF MUNGBEAN (Vigna radiata L.) Wilczek AND MASHBEAN
(Vigna mungo L.) Hepper
UMER IQBAL
04-arid-252
Department of Plant Pathology
Faculty of Crop and Food Sciences Pir Mehr Ali Shah
Arid Agriculture University Rawalpindi Pakistan
2010
BIOLOGY AND MANAGEMENT OF CHARCOAL ROT OF MUNG BEAN (Vigna radiata L.) Wilczek AND MASH BEAN
(Vigna mungo L.) Hepper
by
Umer Iqbal
(04-arid-252)
A thesis submitted in partial fulfillment of the requirements for the degree of
Doctor of Philosophy in
Plant Pathology
Department of Plant Pathology Faculty of Crop and Food Sciences
Pir Mehr Ali Shah Arid Agriculture University Rawalpindi
Pakistan 2010
IN THE NAME OF
"ALLAH"
THE MOST MERCIFUL
THE MOST COMPASSIONATE
AND THE MOST BENEFICENT
CERTIFICATION
I hereby undertake that this research is an original one and neither part of this
thesis falls under plagiarism. If found the same, at any stage, I will be responsible for the
consequences.
Student’s Name: Umer Iqbal Signature: __________________
Registration No. 04 - arid - 252 Date: ______________________
Certified that the contents and form of thesis entitled “Biology and Management of Charcoal rot of Mungbean (Vigna radiata L.) Wilczek and Mashbean (Vigna mungo L.) Hepper” submitted by Mr. Umer Iqbal have been found satisfactory for the requirement of the degree. Supervisor: _________________________ (Dr. Tariq Mukhtar)
Co-Supervisor: ________________________
(Dr. Sheikh Muhammad Iqbal)
Member: _________________________ (Prof. Dr. Irfan Ul Haque)
Member: _________________________ (Prof. Dr. Muhammad Aslam) Chairperson: ______________________________ Dean: _____________________________________
Director, Advanced Studies: ________________________________
Dedicated To
The departed soul of my Affectionate Father
i
CONTENTS Page
List of Tables iv
List of Figures vi
List of Abbreviations vii
Acknowledgements ix
ABSTRACT 1
1. INTRODUCTION 3
2. REVIEW OF LITERATURE 7
2.1 TAXONOMY AND NOMENCLATURE 7
2.2 VARIABILITY AMONG ISOLATES 8
2.3 DISEASE CYCLE 10
2.4 SYMPTOMS 12
2.5 LOSSES CAUSED BY MACROPHOMINA PHASEOLINA 13
2.6 FACTORS AFFECTING THE INFECTION AND SEVERITY OF THE CHARCOAL ROT DISEASE
14
2.7 CHARCOAL ROT MANAGEMENT STRATEGIES 16
2.7.1 Biocontrol Agents 18
2.7.2 Antimycotic Plant Extracts 19
2.7.3 Fungicides 20
2.7.4 Host Plant Resistance 21
3 MATERIALS AND METHODS 23
3.1 FIELD SURVEY AND COLLECTION OF FUNGAL ISOLATES
23
3.2 PRESERVATION AND TRANSPORTATION OF SPECIMENS
23
3.2.1 Isolation, Purification and Identification of M. phaseolina
23
3.2.2 Storage of Pure Culture of M. phaseolina 24
3.2.3 Multiplication of M. phaseolina 24
3.3 COLLECTION OF PLANT MATERIALS 25
3.3.1 Preparation of Aqueous Plant Extracts 25
3.4 COLLECTION OF ANTAGONISTS 25
3.4.1 Biomass Production of Antagonists 29
3.5 COLLECTION OF FUNGICIDES 29
ii
3.6 COLLECTION OF GERMPLASM 29
3.7 PHYSIOCHEMICAL COMPOSITION OF THE EXPERIMENTAL SITE
31
3.8 METEREOLOGICAL DATA 31
3.9 CULTURE MEDIA USED 31
3.9.1 Corn Meal Agar 31
3.9.2 Potato Dextrose Agar 31
3.9.3 Malt Extract Agar 33
3.9.4 Chloroneb Mercury Rose Bengal Agar 33
3.9.5 Richard’s medium 33
3.9.6 Glucose Agar 34
3.10 DETERMINATION OF VARIABILITY AMONG ISOLATES OF M. PHASEOLINA
34
3.10.1 Morphological Variability 34
3.10.1.1 Radial Growth 34
3.10.1.2 Sclerotial Size 35
3.10.1.3 Sclerotial Weight 35
3.10.2 Pathogenic Variability 37
3.11 MANAGEMENT OF CHARCOAL ROT DISEASE 37
3.11.1 Evaluation of Different Antagonists for their Efficacy against Macrophomina phaseolina
37
3.11.1.1 In vitro Evaluation of Antagonists 37
3.11.1.2 Pot Culture Assay 38
3.11.2 Evaluation of Plant Extracts for their Effectiveness against Macrophomina phaseolina.
38
3.11.2.1 In vitro Evaluation of Plant Extracts 39
3.11.2.2 Pot Culture Assay 39
3.11.3 Evaluation of Different Fungicides for their effectiveness against Macrophomina phaseolina.
40
3.11.3.1 In vitro Evaluation of Fungicides 40
3.11.3.2 Pot Culture Assay 40
3.11.4 Evaluation of Mung and Mash germplasm for their Resistance against Charcoal rot Disease under Greenhouse and Field Conditions.
41
3.12 STATISTICAL ANALYSIS 41
iii
4. RESULTS 43
4.1 MORPHOLOGICAL VARIABILITY AMONG MACROPHOMINA PHASEOLINA ISOLATES
43
4.1.1 Radial Growth 43
4.1.2 Sclerotial Size 43
4.1.3 Sclerotial Weight 44
4.1.2 Pathogenic Variability among Macrophomina phaseolina Isolates
51
4.1.2.1 Pathogenic Variability among Mungbean 51
4.1.2.2 Pathogenic Variability among Mashbean 52
4.2 MANAGEMENT OF CHARCOAL ROT DISEASE 60
4.2.1 Inhibitory Effect of Antagonists against Macrophomina phaseolina
60
4.2.2 Effects of Antagonists on the Plant Survival of Mungbean and Mashbean
60
4.2.3 Effects of plant extracts on the growth of M. Phaseolina
64
4.2.4 Effects of Plant Extracts on the Plant Survival of Mungbean and Mashbean
64
4.2.5 Inhibitory Effect of Fungicides on the Radial Growth of M. phaseolina
72
4.2.6 Effect of Fungicides on Plant Survival of Mungbean and Mashbean
72
4.2.7 Host Plant Resistance against Macrophomina phaseolina
73
4.2.7.1 Mash Germplasm Screening 73
4.2.7.2 Mung Germplasm Screening 77
5. DISCUSSION 80
SUMMARY 89
LITERATURE CITED 92
iv
LIST OF TABLES
Table No. Page
3.1 Locations for the collection of Macrophomina phaseolina
isolates
26
3.2 List of antagonistic plants 28
3.3 List of fungicides used in the study 30
3.4 Physio-chemical analyses of the soil samples from experimental
site
32
3.5 Disease scoring scale (1-9) for the assessment of charcoal rot
disease
42
4.1 Morphological variations among different isolates of
Macrophomina phaseolina
45
4.1.1 Isolates categorized into three classes on the basis of radial
growth
47
4.1.2 Isolates categorized into three classes on the basis of size of
sclerotia
48
4.1.3 Isolates categorized into three classes on the basis of weight of
sclerotia
49
4.2 Differential response of selected mungbean cultivars against
various isolates of Macrophomina phaseolina
54
4.3 Differential response of selected mashbean cultivars against
various isolates of Macrophomina phaseolina
57
4.4 Effect of antagonists on the radial growth of Macrophomina
phaseolina
61
4.5 Effect of antagonists on plant survival of mungbean 62
4.6 Effect of antagonists on plant survival of mashbean 63
4.7 Effect of plant extracts on the growth of Macrophomina
phaseolina
66
4.8 Relationships between concentrations of plant extracts and 67
v
radial growth of M. phaseolina
4.9 Effect of plants extracts on the plant survival of mungbean 68
4.10 Relationships between concentrations of plant extracts and
mungbean plant survival
69
4.11 Effect of plants extracts on the plant survival of mashbean 70
4.12 Relationships between concentrations of plant extracts and
mash plant survival
71
4.13 In vitro radial growth inhibition of Macrophomina phaseolina 74
4.14 Effect of fungicides on plant survival of mungbean against charcoal rot (M. Phaseolina)
75
4.15 Effect of fungicides on plant survival of mashbean against
charcoal rot (M. Phaseolina)
76
4.16 Relative resistance/susceptibility of mashbean germplasm
against charcoal rot
78
4.17 Relative resistance/susceptibility of mungbean germplasm
against charcoal rot
79
vi
LIST OF FIGURES
Fig. No. Page
3.1 Average Precipitation, Temperature and RH % at NARC
during the summer season 2007-08.
36
4.1 Dendrogram derived from cluster analysis (UPGMA)
showing relationship among the 65 isolates of
Macrophomina phaseolina on the basis of morphological
characters collected from 14 districts of Punjab and KPK
provinces.
50
4.2 Dendrogram showing the clustering of the virulence of
Macrophomina phaseolina isolates on 3 Mungbean
cultivars
56
4.3 Dendrogram showing the clustering of the virulence of
Macrophomina phaseolina isolates on 3 Mashbean cultivars
59
vii
LIST OF ABREVATIONS
% Percent
µm micrometer
AFLP Amplified Fragment Length Polymorphism
CaCo3 Calcium Carbonate
cfu Colony forming units
cm Centimeter
CMA Corn Meal Agar
CMC Corboxy Methyl Cellulose
CMRA Chloroneb Mercury Rosebengal Agar
Cu Copper
cv Cultivar
DNA Deoxyribo Nucleic Acid
EC Electrical Conductivity
Et al and others
Fe Ferric
GOP Government of Pakistan
h Hour
IDM Integrated Disease Managment
k Potassium
Kg/Ha Kilogram per Hectare
KPK Khyber Pukhtoon Khaw
MEA Malt Extract Agar
MHC Moisture Holding Capacity
ml Milliliter
mm millimeter
Mn Manganese
N Nitrogen
NaOCl Sodium hypochlorite
NARC National Agricultural Research Center
viii
NB Nutrient Broth oC Centigrade
OM Organic Matter
P Phosphorus
PDA Potato Dextrose Agar
PDB Potato Dextrose Broth
PGRI Plant Genetic Resource Institute
ph Proportionate Hydrogen Ion
ppm Parts per Million
RAPD Random Amplified polymorphic DNA
RFLP Restriction Fragment Length Polymorphism
RH Relative Humidity
RM Richards Medium
SDW Sterilized Distilled Water
UPGMA Un-Weighted Pair Group Average
w/v Weight by Volume
WP Wettable Powder
Zn Zinc
ix
ACKNOWLEDGEMENTS
All praises and thanks for Almighty Allah, the most Merciful and
Beneficent whose bounteous blessings enabled me to complete this study and put it
in this form. I offer my humblest thanks to the Holly Prophet Muhammad (Peace
be upon him!) who is forever a torch of guidance and knowledge for the humanity
as a whole.
I feel highly privileged to express the deep sense of gratitude to my
supervisor Dr. Tariq Mukhtar, Associate Professor Department of Plant
Pathology, PMAS University of Arid Agriculture, Rawalpindi; under whose kind
supervision, sincere help and inspiring guidance the research work presented in this
dissertation was carried out.
Thanks are extended to the Supervisory Committee Members Dr. Sheikh
Muhammad Iqbal (Co- supervisor) Principal Scientific Officer, Crop Sciences
Institute, National Agricultural Research Center, Islamabad, Prof. Dr. Irfan Ul
Haque, Chairman, Department of Plant Pathology, PMAS, University of Arid
Agriculture, Rawalpindi Prof. Dr. Muhammad Aslam, Chairman, Department of
Entomology, PMAS, University of Arid Agriculture, Rawalpindi for their valuable
advice and invigorating encouragement during the course of present studies
The help extended by Dr. Ahmad Bakhsh Mahar, Chief Scientific Officer,
Hybrid Seed Programme, Dr. Muhammad Ashraf Zahid, Principal Scientific
Officer, Pulses Research Programme, Dr. Muhammad Zubair, Principal
Scientific Officer, Sugar Crops Research Programme, National Agricultural
x
Research Centre, Park Road, Islamabad is acknowledged here for their assistance in
composing of this manuscript. I also, wish to thanks my office colleagues, Shahid
Riaz Malik, Awais Rasool, Dr. Tariq Rafique, Zahid Mahmood, Muhammed
Asad Farooq, Dr. Rashid Saleem, Fahad Karim Awan and Rukhsana Afzal for
providing time to time assistance during the course of study.
Finally, my heartiest and sincere sense of gratitude to my affectionate
Mother and my uncle Prof. Dr. Muhammed Ashfaq, brothers, Dr. Izlal Ahmad,
Maj. Dr. Rehan Ahmad and Dr. Farrukh Iqbal, my Sister and other family
members for their prayers for my success. I appreciate the encouragement, which I
received from my cooperating Wife who inspired me from time to time to
accomplish this task and serving me intermittently, a cup of tea, while writing the
manuscript. Last but not least, I also thankful from core of heart to my amorous
sons, Hassan and Hamza, who missed a lot their “Baba” during thesis compiling
period.
(Umer Iqbal)
1
ABSTRACT
Charcoal rot, incited by Macrophomina phaseolina (Tassi) Goid, is a
serious disease of many crops, inflicting 100 % yield losses in Mung and Mash
bean under dry and hot conditions. Therefore, biology and management of the
disease was studied in 65 isolates of the fungus collected from 14 districts of
Punjab and Khyber Pukhtoon Khwa. Morphologically, the isolates differed
significantly in their growth behaviour, sclerotial size and weight. Sixteen isolates
developed fast growth, 11 were slow and the rest were intermediate. Nine isolates
produced large sized sclerotia, 26 small sized while the left over were intermediate.
Similarly 35 isolates produced high weight of sclerotia, 12 low and the rest were
intermediate in weight. Isolates collected form D.G.Khan, Chakwal and Bhakar
were found to be highly variable. All the isolates differed in variability in
aggressiveness. On the basis of infection, 23 isolates appeared to be highly virulent,
5 were least virulent and the remaining isolates showed intermediate response.
Biological agents, antagonistic plant materials and chemicals were tested against
the disease. All the test antagonists inhibited the growth of M. phaseolina
significantly, maximum of 79.63 % with T. harzianum and minimum of 58.14 %
with T. pseudokoningii over control. Antagonists also affected survival of mung
and mashbean plants significantly which was significantly higher at higher
concentrations of all the antagonists. Survival of mung and mash plants treated with
T. harzianum @ 2 x 108 was found maximum (83.33 and 80.0%) and minimum in
case of T. pseudokoningii. Similarly, all the test plants inhibited the growth of M.
phaseolina significantly, maximum in case of Carum lopticum (68.61%) and
2
Azadirachta indica (55.68%) the minimum (15.96%) inhibition with Nerium
indicum at 100% concentration. Percentage inhibition was significantly higher at
higher concentrations of all the plants as compared to other concentrations.
Survival of plants was also found to be maximum, where seeds were treated with
C. lopticum (83.33 and 76.66%) and A. indica (80.0 and 73.33%) at 100 %
concentration. Mentha piperita and Foeniculum vulgare showed minimum plant
survival (40 %) of mung and mash respectively. All fungicides inhibited the growth
of M. phaseolina significantly. Maximum efficacy was shown by Benomyl
(83.89%) and Carbendazim (79.11%) while Copperoxychloride showed the
minimum (23.57 %). The mung and mashbean germplasm varied greatly in
reaction to charcoal rot under inoculated conditions. In glass house studies, 14 out
of 100 mungbean accessions appeared to be highly resistant as against 34
accessions under field conditions. In case of Mash only 5 lines out of 100
accessions were found to be highly resistant in pot experiment as against 12
accessions in the field.
3
Chapter 1
INTRODUCTION
The food legumes, particularly the grains or pulses are important food stuff
in all tropical and subtropical countries. Pulses deal with those species of the plant
which belongs to the family fabaceae and sub-family faboidae. They constitute an
integral part of human diet as mature dry seeds and may also be used as immature
green seeds or as green pods with immature seed in it. They can be used for animals
in the form of hay and straw. The pulses have high protein contents (average 20-
26%). In addition to their value as food stuff, they are also important in cropping
systems because of their ability to produce nitrogen through nitrogen fixing
rhizobacteria resulting into an increase in the fertility of the soil and hence
ecomnomical as these can partially replace the expensive nitrogenous fertilizers.
The major pulses grown in Pakistan are chickpea and lentil in winter and mung and
mash bean in summer pulses.
Mungbean (Vigna radiata L.) Wilczek. is an ancient and well known
summer pulse crop of Pakistan. The economic product of mungbean is its seed,
which contains 22-24% of protein (Malik, 1994). Moreover, mungbean also
contains high amount of Vitamins A, B, C and niacin, and minerals such as
potassium, phosphorus and calcium, which are necessary for human body
(Rattanawongsa, 1993). Mungbean is digestible and does not cause flatulence as
many other legumes do. It is, therefore, a good substitute of animal protein and
forms a balanced diet when it is supplemented with cereals. The area sown under
4
this crop in the year 2007-08 was 245.9 thousand hectares in the country with a
toatal production of 177.7 thousand tones (GOP, 2008-09).
Mashbean (Vigna mungo L.) Hepper is also one of the commonly grown
pulse crops in many countries of the world. Its seed contains about 24% protein,
60% carbohydrates and 1.3% fats. Dry fodder (pod husk) is nutritive for milch
animals. It is also referred to as cover crop. Being legume crop, it fixes nitrogen to
an extent of 70-90 kg/ha and thus improves soil fertility. In Pakistan, it occupies an
area of over 32.5 thousand hectars with 17.3 thousand tones production (GOP,
2008-09). The crop is grown under a wide range of agro-ecological zones. The
average yield in Pakistan is very low as compared to its potential yield obtained in
many other countries.
The low yield of mung and mash in Pakistan can be attributed to several
biotic and abiotic constraints. Among biotic factors, diseases are the most
destructive. The losses due to diseases to pulse crops have been estimated up to 44
percent, depending upon the crop variety (Bashir, 1988). Mung and mashbean are
attacked by about 26 diseases in the world (Charles, 1978). Among these, charcoal
rot caused by Macrophomina phaseolina (Tassi) Goid, is of prime importance in
reducing crop yield especially in arid regions of the world (Hoes, 1985).
This pathogen causes seedling blight; stem rot and pod rot and attacks more
than 500 plant hosts (Sinclair, 1982). About 67 hosts of this pathogen have been
reported from Pakistan (Mirza and Qureshi, 1982; Shahzad and Ghaffar, 1986;
Shahzad et al., 1988). Tropical crop plants are seriously affected by this pathogen
(Malaguti 1990). M. phaseolina is classified as a Deuteromycete which shows two
5
asexual sub-phases, a mycelial phase named as Rhizoctonia bataticola (Taub)
Butler (1925) and the other a pycnidial phase called M. phaseolina (Dhingra and
Sinclair, 1978). The fungus is classified in the Botryosphaeriaceae according to
recent phylogenetic data (Crous et al., 2006).
The fungus produces dark brown lesions on the epicotyls and hypocotyls of
seedlings and seedling death follows because of obstruction of xylem vessels and
wilting. In adult plants, the pathogen causes red to brown lesions on roots and
stems, and produces dark mycelia and black microsclerotia. The stem shows
longitudinal dark lesions and the plant becomes defoliated and wilted (Abawi and
Pastor-Corrales, 1990).
The asexual structures formed by the fungus are pycnidia and
microsclerotia. The black, 0.1–1 mm sized microsclerotia are formed in soil,
infected seeds or host tissues and constitute the primary inoculum source of the
pathogen (Bouhot, 1968; Dhingra and Sinclair, 1978; Abawi and Pastor-Corrales,
1990). They can survive up to 15 years depending on environmental conditions, and
whether or not the sclerotia are associated with host residues (Cook et al., 1973;
Papavizas, 1977; Short et al., 1980). Secondary dispersal by Pycnidiospores
produced on infected stem and leaf tissues (Ali and Dennis, 1992).
M. phaseolina is a heat tolerant pathogen since sclerotia could withstand a
temperature range of 60–65 ◦C (Bega and Smith, 1962; Mihail and Alcorn, 1984).
The evidence suggests that it is primarily a root inhabiting fungus and produces
tuber or cushion shaped 1-8 mm diameter black sclerotia. These sclerotia serve as a
6
primary means of survival (Smith, 1969; Kaiser et al, 1980). Charcoal rot causes
60% losses to the mung and mash crops (Deshkar et al., 1974).
In Pakistan charcoal rot causes colossal losses which warrant necessary
control measures. As, the information regarding the variability and management of
this pathogen on mung and mash bean is lacking in the country, so the studies with
following objectives were planned
• Determine the morphological and pathogenic variability among
Macrophomina phaseolina isolates prevalent in different mungbean and
mashbean areas of Punjab and Khyber Pukhtoon Khwa.
• Find out the virulent strains from different isolates of the pathogen.
• Evaluation of different biocontrol fungi, antagonistic plants and fungicides for
the management of the disease.
• Screening of mung and mashbean germplasm for the identification of
resistant sources against the pathogen.
7
Chapter 2
REVIEW OF LITERATURE
Pulses belonging to Vigna spp. are important summer crops of Pakistan
which are prone to several diseases. Among the fungal diseases, charcoal rot is a
common, widespread, destructive and economically important disease in mung and
mash, causing obstruction of xylem vessels and wilting leading to the plant death
(Abawi and Pastor-Corrales, 1990). Various aspects related to pathogen and its
management is reviewed below.
2.1 Taxonomy and Nomenclature
Macrophomina phaseolina (Tassi) Goid. ( Tiarosporella phaseolina (Tassi)
Vander Aa) is a soilborne plant pathogenic fungus. It belongs to the anamorphic
Ascomycetes and is characterized by the production of both pycnidia and sclerotia
in host tissues and culture media. The pycnidial state was initially named
Macrophoma phaseolina by Tassi in 1901 and Macrophoma phaseoli by Maublanc
in 1905. In 1927, Ashby maintained the name Macrophomina phaseoli, while
Goidanich (1947) proposed Macrophomina phaseolina. Tiarosporella phaseolina
(Tassi) Van der Aa was used in 1981 by Van der Aa to designate the species.
Mihail (1992) indicated that there is an unconfirmed report of a teleomorph named
Orbilia obscura (Ghosh et al., 1964) of M. phaseolina, but since then no further
evidence appeared for the telemorph state. The sclerotial state was described for the
first time by Halsted as Rhizoctonia bataticola (Taub.) Butler on Ipomoea batatas
in 1890. According to Dhingra and Sinclair (1978), the same fungus was isolated
from cowpea in India in 1912 by Shaw and was then named Sclerotium bataticola.
8
Recently Crous et al. (2006) demonstrated that although the telemorph is unknown,
M. phaseolina is a member of the family Botryosphaeriaceae. The authors pointed
out the differences between Tiarosporella and Macrophomina, which produces in
the pycnidia percurrently proliferating conidiogenous cells. The pycnidiospores are
ellipsoid to obovoid, and measure (16-)20-24(-32) × (6-)7-9(-11) µm. During the
sclerotial formation, 50–200 individual hyphal cells aggregate to give multicellular
bodies named microsclerotia. The microsclerotia are black and are variable in size
(50–150 µm) depending on the available nutrients of the substrate on which the
propagules are produced (Short and Wyllie, 1978).
2.2 Variability among isolates
Much work has been done to elucidate the variability in morphology,
physiology, pathogenicity, and genotype of M. phaseolina. Variation in cultural
characteristics and virulence to soybean has been reported in the U.S. (Dhingra and
Sinclair, 1973). According to Ahmed and Ahmed (1969), cultural characteristics
and growth rates of 8 different jute isolates of M. phaseolina appeared to be related
to their pathogenicity. Isolates with fast mycelial growth and abundant sclerotial
production were more pathogenic on clusterbean (Cyamopsis tetragonoloba)
seedlings than isolates growing more slowly (Purkayastha et al., 2004). Color of
cultures on PDA, ability to sporulate in infected host plants and pycnidial size also
have been reported to vary greatly (Dhingra and Sinclair, 1978; Adam, 1986).
Isolates of M. phaseolina obtained from resistant sorghum genotypes were more
pathogenic on susceptible sorghum than two other isolates originally obtained from
susceptible sorghum genotypes (Diourte et al., 1995). Tentative demonstration of
9
host preference of M. phaseolina isolates was done by Pearson et al. (1986; 1987a,
b). Comparing growth aptitude of more than 2000 isolates from 13 states in
medium containing potassium chlorate, the authors classified isolates of M.
phaseolina from maize as chlorate-resistant and those from soybean as chlorate-
sensitive. The growth of the last group was inhibited by chlorite produced in the
medium. In contrast, Zazzerni and Tosi (1989) reported that M. phaseolina isolates
from four host species varied widely in chlorate-utilization irrespective of their
original host and concluded that there was no evidence for host specialization
within M. phaseolina. Further evidence of lack of host specialization in M.
phaseolina was reported by Mihail and Taylor (1995). Their study on the
variability of 114 M. phaseolina isolates from different host species, soils and
continents clearly indicated that M. phaseolina is a heterogeneous species that
cannot be partitioned into distinct subspecies groups based on pathogenicity,
pycnidium production and chlorate utilization. Although Su et al. (2001) pointed
out that host specialization in M. phaseolina occurs with maize, no clear evidence
for the occurrence of formae speciales, subspecies or physiological races has been
reported so far.
Various recent studies were devoted to the genetic and pathogenic
variability of M. phaseolina. Significant advances in molecular detection and
differentiation of M. phaseolina isolates have been achieved using Restriction
Fragment Length Polymorphism (RFLP), Random Amplified Polymorphic DNA
(RAPD), and Amplified Fragment Length Polymorphism (AFLP) analysis (Mayek-
Pérez et al., 2001; Su et al., 2001; Purkayastha et al., 2006; Reyes-Franco et al.,
2006). So far, none of these methods have however been able to differentiate
10
isolates of M. phaseolina from specific hosts or geographic locations. The lack of a
strong correlation between genotype and geographical origin suggests a high
diversity level within and among the population of M. phaseolina (Jana et al.,
2005). Nevertheless, Jana et al. (2003) developed a single RAPD primer OPA-13
that distinguishes isolates of M. phaseolina from soybean, sesame, groundnut,
chickpea, cotton, common bean, okra, and 13 other hosts and this could be useful
as taxonomic marker for population studies.
2.3 Disease cycle
M. phaseolina causes seedling blight, root rot and root and stem rot of more
than 500 cultivated and wild plant species including economically important crops
as soybean, common bean, sorghum, maize, cotton, peanut, cowpea (Dhingra and
Sinclair, 1977; Bouhot, 1967, 1968; Adam, 1986; Gray et al., 1990; Hall, 1991;
Diourte et al., 1995). Softwood forest trees (Abies, Pinus, Pseudotsuga) (McCain
and Scharpf, 1989), fruit trees (Citrus spp., Cocoa nucifera, Coffea spp.) and weed
species (Songa and Hillocks, 1996) are also hosts of the pathogen. The fungus was
reported in North and South America, Asia, Africa and Europe. However, it is
economically more important in subtropical and tropical countries with a semi-arid
climate (Wrather et al., 1997; 2001).
M. phaseolina produces sclerotia in root and stem tissues of its hosts which
enable it to survive adverse environmental conditions (Cook et al., 1973; Meyer et
al., 1974; Short et al., 1980). In PDA, pycnidia are not produced except under some
specific incubation conditions (Gaetán et al., 2006) and only sometimes in host
crops (Mihail and Taylor, 1995), and their importance in the epidemiology of the
11
fungus likely depends on the host involved as well as the fungal isolate (Ahmed
and Ahmed, 1969). On cowpea, pycnidia are produced at the end of the rainy
season, but their epidemiological significance seems minor. On the contrary, in jute
crops, pycnidiospores produced on early infected stem and leaf tissues have been
reported to be responsible for secondary spread of the disease (Anonymous, 1940).
Microsclerotia in soil, infected seeds or host tissues serve as primary
inoculum (Bouhot, 1968; Dhingra and Sinclair, 1977; Abawi and Pastor-Corrales,
1990). Root exudates induce germination of microsclerotia and root infection of
hosts. The infective hyphae enter into the plant through root epidermal cells or
wounds. During the initial stages of pathogenesis, the mycelium penetrates the root
epidermis and is restricted primarily to the intercellular spaces of the cortex of the
primary roots. As a result, adjacent cells collapse and heavily infected plantlets may
die. At flower onset, the fungal hyphae grow intracellularly through the xylem and
form microsclerotia that plug the vessels (Short et al., 1978; Mayek-Pérez et al.,
2002) and disrupt host cells. The infected plants show necrotic lesions on stems,
branches, and peduncles. From pod peduncles, the fungus spreads to the pods and
invades grains. Heavily infected plants die prematurely due to the production of
fungal toxins e.g. phaseolinone (Bhattacharya et al., 1994) and production of fungal
tissue that plugs host vessels. In soybean, formation of microsclerotia is
conditioned by flowering and pod setting (Wyllie and Calvert, 1969) and may be
indicative of initiation of death of the host (Short and Wyllie, 1978). After plant
death, colonization by mycelia and formation of sclerotia in host tissue continue
until tissues are dry. The mycelium and microsclerotia produced in infected plant
material, including plant residues are the means of propagation of the pathogen.
12
Microsclerotia in soil, host root and stems are the main surviving propagules. After
decay of root and plant debris, microsclerotia are released into the soil. They are
distributed generally in clusters at the soil surface and are localized mainly at a
depth of 0–20 cm (Alabouvette, 1976; Mihail, 1989; Campbell and Van der Gaag,
1993). They can survive for 2–15 years depending on environmental conditions,
and whether or not the sclerotia are associated with host residue (Cook et al., 1973;
Papavizas, 1977; Short et al., 1980; Baird et al., 2003). Factors that adversely affect
the survival of these propagules include repeated freezing and thawing of soil, low
carbon: nitrogen ratios in soil and soil moisture content (Dhingra and Sinclair,
1974; Dhingra and Sinclair, 1975).
2.4 Symptoms
Disease symptoms are clearly visible from the time of emergence and can
be evaluated at various stages of development of the plant. After emergence,
symptoms can be observed on the cotyledons as brown to dark spots. However,
cotyledons remain on the plant for only a few days, especially when diseased. The
margins of the cotyledons become bright red, then beige or brown, and finally
brown to black. Often, they are covered with a grayish mycelium pad bearing
scattered sclerotia. This mycelium can be observed also inside entirely colonized
cotyledons. At the unifoliate leaf stage, typical symptoms are pinhead-size,
charcoal-colored spots which are mostly restricted to the hypocotyl section of the
stem, including its subterranean part. Infected spots may expand and develop into
large necrotic lesions, usually resulting in death of the plant. M. phaseolina can
also infect roots which show necrotic lesions (Bouhot, 1967; Adam, 1986). On
13
adult plants, M. phaseolina causes lesions on stems, spikes, pods and seeds. On
stems, lesions are beige and appear at the ramification point of the lateral secondary
branches. Colonized tissues become gray and covered with abundant minute black
punctuations. Initially these punctuations are immersed, becoming gradually more
prominent. From pod peduncles, the fungus spreads to the pods and invades grains.
However, necrotic lesions may appear anywhere on the pods. Infected green pods
are initially blue-green, and then turn brown to reddish. When infection occurs on
mature, dry pods, they become white to gray and are covered with locally or widely
distributed black bodies on the pod. The fungus penetrates the pod and grains,
inducing diverse symptoms depending on tissue infestation level. Early infested
grains abort or become empty and dry. The affected parts of the pod become
narrow or shrunken, deformed and thin when damaged grains are located at the pod
tip (Bouhot, 1965; 1967). The most striking symptom is the sudden wilting and
drying of the whole plant, most of the leaves remaining green. The stem and
branches are then covered with black bodies and give the charcoal or ashy
appearance of dead plants. Withering can be observed from seedling to maturing
stage and is the result of necrosis of roots, stems and mechanical plugging of xylem
vessels by microsclerotia, but also by toxin production, and enzymatic action (Chan
and Sackston, 1973; Kuti et al., 1997; Jones and Wang, 1997).
2.5 Losses caused by Macrophomina phaseolina
Yield losses as a result of infection caused by charcoal rot (M. phaseolina)
are difficult to assess in quantitative value (Cloud and rupe, 1994) as the affects of
the disease caused by this fungus can be quite subtle and may not be noticed.
14
Increase in yield on chickpea after controlling the disease was reported by Quaiser
et al (1986), in cumin (Lodha, 1995), maize (Begum et al, 1989) and peanut
(Sharma and Bhowmik, 1986), although the yield factor was probably associated
with the effects of other soil biota and the establishment of more plant stand.
In some crops, the yield losses caused by M. phaseolina may result from
plant death or lodging. In sorghum, lodging can occur at maturity as fungus
weakens the stem and microsclerotia form in the vascular tissues (Edmunds, 1964;
Odvody and Dunkle, 1979). Harvesting losses of more thsn 50 % can occur
(Frederiksen, 1986). Hiremath and Palakshappa (1994) reported 100% lodging in
sorghum genotypes and yield losses of up to 60 % were reported (Ayr, 1985) due to
charcoal rot disease.
There are several information sources on soybean losses due to charcoal rot
disease (Doupnok, 1993; Pratt and Wrather, 1998; Wrather et al, 1997 and Wyllie,
1988). Annual losses of 30-50 % in soybeans have been reported (Sharifi et al,
2005; Ramezani et al, 2007; Senthilkumar et al, 2009). Charcoal rot causes the
greatest or second greatest economic loss for soybean producers (Pratt and Wrather,
1998; Wrather et al, 2003).
2.6 Factors affecting the infection and severity of the charcoal rot disease
Root infection is affected by growth stage and environment. High root
infection can occur before reproductive development and is then associated with
hot and dry weather early in the growing season (Cloud and Rupe, 1994). M.
phaseolina can infect beans also under relatively dry conditions (Olaya and Abawi,
1993). However, there are also reports where a high moisture holding capacity (40–
15
50% MHC) resulted in greater M. phaseolina colonization on peanut (Husain and
Ghaffar, 1995). Agarwal and Goswani (1973) reported a significant synergistic
effect in soybean when the root-knot nematode Meloidogyne incognita preceded
infection by M. phaseolina by three weeks, and suggested that M. incognita
predisposes plants to the fungal infection, similar to the vascular pathogens
Fusarium oxysporum and Verticillium dahliae. In white clover, M. phaseolina also
tends to be associated with higher final densities of the plant pathogenic nematodes
Meloidogyne trifoliophila, Helicotylenchus dihystera and Heterodera trifolii (Zahid
et al., 2002). In contrast, in a pot experiment the simultaneous addition of M.
phsaeolina and Meloidogyne javanica resulted in reduced nematode galls, which
was ascribed to the effect of toxic metabolites on the nematode produced by the
fungus (Gupta and Mehta, 1989).
Many studies have demonstrated the lack of consistent correlation between
the severity of host infection and charcoal rot incidence. Visible symptoms of the
disease in the field are most apparent under conditions that reduce plant vigor, such
as poor soil fertility (Sinclair and Backman, 1989), high seeding rates (Pearson et
al., 1984; Sinclair and Backman, 1989), low soil water content (Meyer et al., 1974;
Ali and Ghaffar, 1991; Sheikh and Ghaffar, 1979; Kendig et al., 2000), high
temperatures (Odvody and Dunkle, 1979; Mihail, 1989), and root injury (Canaday
et al., 1986). The timing of host reproduction is another factor that has a strong
influence on charcoal rot development. In Euphorbia lathyris, early flowering
plants succumb more rapidly to charcoal rot than later flowering ones (Mihail,
1989). In sorghum, post-flowering water-stressed plants showed more severe
charcoal rot symptoms than plants without water stress (Diourte et al., 1995). Initial
16
population density of sclerotia in soil was directly correlated with the severity of
charcoal rot of soybean and was inversely related to soybean yield (Short et al.,
1980). Mihail (1989) found that average symptom expression and mortality
increased with increasing soil temperature and that mortality increased markedly
after the soil temperature at 5 cm reached the range of 28–30 °C.
2.7 Charcoal rot management strategies
Most of the described control methods aim to reduce the number of
sclerotia in soil or to minimize the contact of the inoculum and the host.
Solarization (Grinstein et al., 1979; Katan et al., 1980; Pullman et al., 1981;
Usmani and Ghaffar, 1982), addition of organic amendments (Ghaffar et al., 1969;
Dhingra and Sinclair, 1975), maintenance of high soil moisture content (Dhingra
and Sinclair, 1975) and fumigation (Watanabe et al., 1970) have been suggested as
possible methods to manage soilborne pathogens. Solarization alone was not
effective at controlling M. phaseolina in forest (Old, 1981) and field (Mihail and
Alcorn, 1984) soils. Soil moisture content greatly affects the sensitivity of resting
structures to heat treatment (Lodha et al., 2003), and one summer irrigation was
sufficient to reduce the population of M. phaseolina by 25–42 % (Lodha and
Solanki, 1992; Lodha, 1995). Solarization of moistened soil further augmented this
reduction in the top soil, but many propagules survived at lower depths (Lodha and
Solanki, 1992). Amendments with nitrogen-enriched pearl millet residues
significantly reduced the population of M. phaseolina within 45 days by 94 %
(Sharma et al., 1995). Combined effects of amendments, irrigation and
polyethylene mulching resulted in the almost complete eradication of the
17
population of M. phaseolina (93–99 % reduction) at 0–30 cm soil depth within 15
days. A considerable reduction (75–95 %) was also achieved by natural heating of
irrigated soil for 15 days after amending with cruciferous residues (Lodha et al.,
1997). Cabbage residue incorporation in the soil without heating also reduced the
population of Fusarium oxysporum f. sp. conglutinans effectively (Ramirez-
Villapudua and Munneke, 1987). The effect was mainly attributed to toxic volatiles
such as mercaptan, dimethyl sulphid, and isothiocyanate formed during the
decomposition of the cabbage residues (Gamliel and Stapleton, 1993).
Tillage is a crucial cultural measure that could affect the inoculum potential
of soilborne pathogens. If the pathogen requires high inoculum density to infect
plants, then increased dispersal over the soil profile could reduce disease severity.
If, however, a low inoculum density is sufficient for infection, then dispersal may
aggravate incidence and severity (Olanya and Campbell, 1988). As low inoculum
densities are sufficient to cause charcoal rot, tillage can increase damage by M.
phaseolina especially when highly susceptible hosts such as Euphorbia lathyris are
cultivated, in which a soil sclerotial density < 1 microsclerotium per gram soil can
cause more than 90% plant mortality (Young and Alcorn, 1984). Tillage reduces
the stratification of organic residue on the surface, which in turn can influence soil
temperature and moisture (Campbell and Van der Gaag, 1993), soil chemistry
(Blevins et al., 1980), population of soil animals, and the structure of microbial
communities (Franchini et al., 2006). These changes in physical and biological
factors may in turn also affect disease incidence and severity of M. phaseolina.
18
Irrigation at any time during the cropping season reduces disease infection
in soybean (Kendig et al., 2000). Furthermore the type of irrigation can also affect
charcoal rot disease. The density of soil sclerotia and the number of diseased melon
plants was higher in drip irrigated plots than in furrow irrigated plots (Nischwitz et
al., 2004).
2.7.1 Biocontrol agents
Management strategies to control charcoal rot also include the use of
biocontrol agents to prevent host infection or to suppress the growth of the
pathogen (Ghaffar et al., 1969; Siddiqui and Mahmood, 1993). In jasmine,
Trichoderma harzianum and T. viride were effective against M. phaseolina (Alice
et al., 1996). T. harzianum and Pseudomonas fluorescens significantly reduced the
germination of sclerotia by 60 % in natural field soil (Srivastava et al., 1996).
Strains of Bradyrhizobium sp. and Rhizobium meliloti were reported to be
antagonistic against M. phaseolina and to have plant growth promoting properties
in groundnut (Arora et al., 2001; Deshwall et al., 2003). Blackgram seeds
inoculated with three Aspergillus spp showed significantly low disease intensity
against charcoal rot (Eswaran and Rahul, 2004). Three antagonists (Trichoderma
harzianum, Epicoccum nigrum and Paecilomyces lilacinus) significantly
suppressed M. phaseolina in vitro and in vivo by producing an inhibition zone
while T. harzianum suppressed them by overgrowing (Hashem, 2004). Adekunle et
al. (2001) treated cowpea seeds with three (Trichoderma spp.) and planted in soils
amended with M. phaseolina. He found significantly greater plant stands
percentage than the controls. In tomato and eggplant Saccharomyces cerevisiae the
19
biological control agent reduced disease percentage, improved root lengths and
fresh and dry weights (Attyia and Youssry, 2001). Seed treated with T. harzianum
at sowing were effective to provide a considerable reduction of the disease caused
by M. phaseolina in sesame (Pineda, 2001). Pan et al. (2001) screened the
antagonistic properties of 4 Gliocladium virens strains against M. phaseolina. All
the strains were highly antagonistic against M. phaseolina. Black gram seeds
treated with Trichoderma viride significantly reduced the sclerotial germination of
M. phaseolina (Rettinassababady et al. 2000). Aspergillus versicolor grown in soil-
compost medium was found to control infection caused by Macrophomina
phaseolina in jute (Bhattacharyya et al, 1985). The incidence of root rot in
blackgram was significantly reduced by 50 % when treated with Trichoderma spp.
alone or in combination with biofertilizer both under glass house and field
conditions (Indra and Gayathri, 2003). Soil amendment with Trichoderma
harzianum formulated on sugar cane bagasse at the rate of 10 % (w/w) of soil
shown a highly effect in reducing root rot incidence caused by M. phaseolina at
pre-emergence stage respectively ( Mohamedy et al, 2006). Soil application of talc
based formulation of T. harzianum, T. polysporum and T. viride effectively
controlled the root rot (M. phaseolina) of Egg plant under field condition
(Ramezani, 2008). Seed treatment both Trichoderma virens and Pseudomonas
fluorescens along with soil application supported the maximum plant stand and less
root rot incidence in pigeon pea (Lokesha and Benagi, 2007).
2.7.2 Antimycotic plant extracts
20
Several studies have dealt with the antimycotic effect of plant compounds
on M. phaseolina. The essential oil actinidine isolated from Nepeta clarkei was
effective in vitro against M. phaseolina (Saxena and Matela, 1997). Kazmi et al.
(1995) and Alice et al. (1996) reported that in vitro neem oil was more or equally
effective compared to benomyl and carbendazim. However, neem seed extracted
samples of different locations showed variable suppression of growth of the
pathogen. More effective inhibition of the growth of M. phaseolina was obtained
by aqueous extracts of Cymbogon citratus (Bankole and Adebanjo, 1995). Powder
of Datura fastulosa (Datura) was also reported to be effective against M.
phaseolina and Meloidogyne javanica infection in a pot experiment (Ehteshamul et
al., 1996). The aqueous extracts of Tephrosia candida and Boehmeria nivea could
well inhibit the formation of sclerotia of M. phaseolina (Anuradha et al. 2003).
Extracts of pulverized bark of Prosopis africana and leaves of Nauclea latifolia
100 % inhibited both radial mycelial growth and sclerotial formation of M.
phaseolina (Oluma et al. 2002). Datar (1999) found that aqueous extracts of
Polyalthia longifolia, Allium sativum and Parthenium hysterophorus were found
most effective in reducing mycelial growth of M. phaseolina. Neem leaf extract,
Marigold leaf extract and Garlic bulb extract at 5 % as seed treatments significantly
reduced the charcoal rot incidence and increased yield (Sinha and Sinha, 2004).
2.7.3 Fungicides
Researchers also have investigated the in vitro sensitivity of different
isolates of M. phaseolina to fungicides (Al-beldawi et al., 1973; Rama et al., 1981)
and the efficacy of fungicide application to seed and soil to reduce fungal
21
germination and infection (Kannaiyan et al., 1980; Alice et al., 1996). However,
until now, chemical control of M. phaseolina is difficult and neither profitable nor
advisable (Pearson et al., 1984). Bavistin 50 WP [carbendazim] was the most
effective against M. phaseolina, a major pathogen of mothbean (Rathore and
Rathore, 1999). Application of carbendazim in combination with Thiram resulted
in the highest seed germination percentage and lowest root rot incidence in
chickpea (Prajapati et al. 2003).
2.7.4 Host Plant Resistance
Sources of resistance to some soilborne pathogens have been identified, but
highly resistant cultivars are often not available for polyphagous and unspecialized
pathogens like M. phaseolina. Pastor-Corrales and Abawi (1988) reported some
selected bean lines with stable resistance to the fungus. Resistance in beans to M.
phaseolina has been associated with drought tolerance (Pastor-Corrales and Abawi,
1988). In common bean resistance to M. phaseolina is controlled by two dominant
complementary genes (Olaya et al., 1996). Grezes-Besset et al. (1996) reported
resistance to M. phaseolina in Ricinus persicus and incorporated this in cultivated
castor bean. The improved lines showed high seedling resistance to the disease.
Based on seed yield and the levels of lower stem and taproot colonization, Smith
and Carvil (1997) identified four resistant cultivars among 24 soybean cultivars
screened for resistance to M. phaseolina. Research on sources for resistance to M.
phaseolina in sorghum has led to breeding lines and cultivars with stable
performance. Resistance in sorghum was associated with delayed leaf senescence
(Ducan, 1984; Diourte et al., 1995). The stability of this resistance, however, was
22
influenced by water stress. In soybean, resistance factors to M. phaseolina do not
protect plants against infection, but more likely restrict the growth rate of the
fungus within plant tissues (Smith and Carvil, 1997). Reduced growth of the
pathogen within host tissues may be due to lower levels of the stress related free
amino acids proline and asparagine in resistant than in susceptible cultivars
(Pearson et al., 1987b).
Mung and mash cultivars highly resistant to M. phaseolina and adapted to
the different production areas with acceptable agronomic characteristics are not
available. Moderate levels of resistance were reported in India (Sohi and Rawal,
1983; Singh and Lodha, 1986; Mahabeer et al., 1995). Several cowpea varieties
and lines were screened for resistance to M. phaseolina in a disease nursery and pot
experiments. These accessions including lines with delayed leaf senescence and
drought resistant cultivars were susceptible to the pathogen (Adam, 1986; M.
Ndiaye unpublished). Nevertheless, better cowpea stands were attributed to
moderate resistance of one cultivar (Gaikwad and Sokhi, 1987). Higuera and Murty
(1987) screened 414 cowpea progenies of white and black seed types in a study to
verify the supposed resistance to M. phaseolina in cowpea black seed types. The
authors concluded that seed color had no influence on resistance, but that
significant variation in resistance to charcoal rot exists among cowpea accessions
which could be used in breeding programs.
23
Chapter 3
MATERIALS AND METHODS
3.1 FIELD SURVEY AND COLLECTION OF FUNGAL ISOLATES
During 2005-06, surveys were conducted in 14 major mung and mash
producing areas of Punjab and Khyber Pakhtoon Khwa (KPK) provinces of
Pakistan (Table-3.1). Samples of stems bearing microsclerotia of Macrophomina
phaseolina and characteristic symptoms of charcoal rot were collected from the
infected plants from farmers’ fields and research institutes and designated.
Depending on the number of diseased foci, 3–5 plants were sampled per field.
3.2 PRESERVATION AND TRANSPORTATION OF SPECIMENS
The diseased samples were first packed in paper bags and then in 15×20-cm
polyethylene bags, labelled, brought to the lab and stored at 4oC until processed for
identification.
3.2.1 Isolation, Purification and Identification of M. Phaseolina
For isolation of M. phaseolina, the samples were cut into small pieces (5-10
mm long), surface sterilized with 1 % sodium hypochlorite for 2 minutes and then
rinsed twice in sterilized distilled water. The pieces were placed on Chloroneb
Mercury Rose Bengal Agar (CMRA) medium (Meyer et al., 1973) in petridishes
and incubated in dark at 25 ± 1oC for 6 days. A small portion of the fastest growing
colony of M. phaseolina was taken from the periphery of 90 mm diameter petri
dish and spread on petridishes containing glucose agar medium (glucose, 20 g;
agar, 20 g and water, 1000 ml) and incubated in dark at 25 ± 1oC for 6 days. A
24
small portion of the colony having sclerotia was taken into a drop of sterilized
water and agitated with a sterilized needle to separate the sclerotia from the
mycelia. Sclerotia were then transferred to 90 mm dia. petridishes containing
CMRA medium. Colonies appearing from single sclerotium were again transferred
to CMRA medium containing petriplates, incubated and identified on the basis of
standard key (Barnett and Hunter, 1972).
3.2.2 Storage of Pure Culture of M. phaseolina
The purified culture (5 mm disc) from each isolate growing on PDA was
transferred to 10 ml culture tubes and incubated in dark at 25±1°C for 6 days, until
the surface of PDA was covered with dense sclerotial layer of the fungal culture.
The culture tubes were labeled and stored at 4oC.
3.2.3 Multiplication of M. phaseolina
Seeds of rice were moistened (1 g rice seeds: 1 ml water) and placed in
conical flasks. The mouth of each flask was plugged with cotton wool and wrapped
in aluminum foil and autoclaved at 15 psi at 121°C for 3 h. After cooling for 12 h,
the flasks were again autoclaved at 121°C for another 3 h. On cooling, the seeds
were inoculated with a 5 mm diameter mycelial plug from a 7-day old culture of M.
phaseolina and incubated at 25±1°C for 15 days. The flasks were shaken at
alternate days for uniform colonization of the grains. The inoculum was stored at
4°C untill used in the field. For confirmation 0f the fungus, the colonized rice seeds
were plated on PDA plates and incubated at 25±1°C for 5 days. The plates were
examined under stereoscope for mycelial growth.
25
3.3 COLLECTION OF PLANT MATERIALS
Leaves or seeds or flowers of twenty different antagonistic plants (Table-
3.2) used in the study were collected from different locations of Pakistan.
3.3.1 Preparation of Aqueous Extracts
Leaves or seeds or flowers of test plants were surface sterilized for 2
minutes in 70% ethanol. Samples were then rinsed twice in sterilized distilled
water, dried under room temperature for 21 days and ground to powder separately.
For preparation of aqueous extracts of crushed dry sample of each plant was soaked
in sterilzed distilled water at 1:1 w/v, vigorously stirred and left for 24 hrs. The
suspensions were passed separately through 4 ply muslin cloth, filtered through
Whatman’s filter paper No.41. The filterates were further passed through Millipore
filter of 0.2 µm pore size to avoid the bacterial contamination and stored at 4°C
until use. The extracts thus obtained were arbitrarily termed as ‘S’ (100 %). Further
dilutions (75%, 50% and 25%) were prepared by the addition of requisite amount
of distilled water.
3.4 COLLECTION OF ANTAGONISTS
Seven antagonistic fungi viz, Trichoderma harzianum, T. hamatum, T.
koningi, T. pseudokoningi, T. viride, T. aureoviride and Gliocladium virens used in
the experiment were collected from the First Fungal Culture Bank (FFCB), The
University of Punjab, Lahore.
26
Table 3.1 Locations for the collection of M. phaseolina isolates
Isolates District Location MP-1 Jatli MP-2 Kallar saidan MP-3
Rawalpindi Mandra
MP-4 Vehowa MP-5 Kot Haibat MP-6 Kot Chutta MP-7
D.G.Khan
Mangrotha MP-8 Thatha Gurmani MP-9 Mehmood kot MP-10 Kot addu MP-11
M. Garh
Seetpur MP-12 Piplan MP-13 Wanbhachran MP-14 Wattakhel MP-15 Hernoli MP-16
Mianwali
Shahbazkhel MP-17 Mankera MP-18 Kalurkot MP-19 Gauharwala MP-20 Basti Shah Alam MP-21
Bhakkar
AZRI, Bhakkar MP-22 Fatehpur MP-23 Chaubara MP-24 Kot Sultan MP-25 Karor MP-26 Paharpur MP-27 Dullaywala MP-28
Layyah
Kharewala MP-29 AARI, Faisalabad MP-30 NIAB, Faisalabad MP-31 Thikriwala MP-32
Faisalabad
Ramdawali MP-33 Mansoorwali
27
MP-34 Naina Kot MP-35 Chajwal MP-36
Narowal Noor Kot
MP-37 Sahowali MP-38 Pejokey MP-39 Muradpur MP-40 Sambrial MP-41
Sialkot
Bhagowal MP-42 Balkasar MP-43 Dhudial MP-44 Bhagwal MP-45
Chakwal
BARI, Chakwal MP-46 NARC, Islamabad MP-47 Chakshahzad MP-48 Tarnol MP-49
Islamabad
Kuri MP-50 Abba Khel MP-51 Band Kurai MP-52 Bigwani MP-53 Kot Jai MP-54 Malana MP-55
D.I.Khan
Yarik MP-56 Ahmad Wala MP-57 Shadi Khel MP-58 Shan Wala MP-59
Kohat
Gumbat MP-60 Ghori Wala MP-61 Sarai Gambila MP-62 Sarai Naurang MP-63 Domeli MP-64 Nurar MP-65
Bannu
Mira Khel
28
Table 3.2 List of antagonistic plants
Common Name
Botanical Name Location of collection
Plant parts used
1 Neem Azadirachta indica D.G.Khan leaves
2 Bhang Cannabis sativa Islamabad leaves
3 Olive Olea europaea Murree leaves
4 Mint Mentha piperita Islamabad leaves
5 Bakain Melia azedarach D.G.Khan leaves
6 Kaner Nerium indicum Rawalpindi leaves
7 Ajwain Carum lopticum Islamabad seed
8 Aak Calotropis procera Bhawalpur leaves
9 Niazboo Ocimum americanum Islamabad seed
10 Sweet fennel Foeniculum vulgare Islamabad seed
11 Shisham Dalbergia sissoo D.G.Khan leaves
12 Fenugreek Trigonella foenumgraecum Islamabad leaves
13 Amaltas Cassia fistula Rawalpindi leaves
14 Soye Anethum graveolens Islamabad seed
15 Black seed Nigella sativa Islamabad seed
16 Chamomile Matricaria chammomilla Islamabad flower
17 Senna Cassia angustifolia Islamabad flower
18 Parthenium Parthenium hysterophorus Islamabad leaves
19 Hena Lawsonia inermis Rawalpindi leaves
20 Tobacco Nicotiana tabacum Jampur leaves
29
3.4.1 Biomass Production of Antagonists
For biomass production of antagonists Richard’s medium was used
(Harman, 1991). The medium (100 ml) was poured in 250 ml Erlenmeyer flasks,
autoclaved at 15 psi for 30 minutes, inoculated with two scoops of 10 mm diameter
taken from a 7 days old culture of each antagonist on PDA and incubated at
25±1°C for 15 days. For making slurry the broth along with biomass of each
antagonist was homogenized using a homogenizer for 30 seconds. The propagules
of each fungal slurry were enumerated using a haemocytometer. Based on these
counts, the concentrations (2×104, 2×106 and 2×108 propagules/ml) were achieved
by the addition of requisite amount of distilled water to the slurry of fungal
antagonist. Two ml of gelatin as an adhesive was added to eight ml of fungal
suspension of each concentration of each antagonist giving desired concentration of
2×104, 2×106 and 2×108 propagules/ml.
3.5 COLLECTION OF FUNGICIDES
Fungicides given in Table 3.3 were purchased from the local market for
their evaluation against M. Phaseolina.
3.6 COLLECTION OF GERMPLASM
Seeds of one hundred accessions, each of mung and mash were collected
from Gene Bank of Plant Genetic Resource Institute (PGRI), NARC, Islamabad for
the identification of resistant sources.
30
Table 3.3 List of fungicides used in the study
Fungicide Chemical Name Formulation Manufacturer
Antracol Propineb 70 WP Bayer (Pvt) Ltd.
Trimiltox- Copper+ 41 WP Syngenta
Forte Mancozeb
Dithane M-45 Mancozeb 80 WP Rohm & Hass Ltd.
Derosal Carbendazim 50 WP Bayer (Pvt) Ltd.
Captan Captan 50 WP ICI (Pvt) Ltd.
Benlate Benomyl 50 WP Du Pont
Ridomil Gold Matalaxyl+Mancozeb 68 WP Syngenta
Cobox Copper oxychloride 50 WP Pak Agro
Daconil Chlorothalonil 75 WP Syngenta
31
3.7 PHYSICOCHEMICAL COMPOSITION OF THE EXPERIMENTAL SITE
Soil samples were collected from 0-15 and 15-30 cm depths prior to sowing
of the crop and got analysed for some of the soil properties and different elements.
Which are given in Table (3.4).
3.8 METEOROLOGICAL DATA
The trial on screening of germplasm for the identification of resistance was
conducted at Pulses Pathology Research Area, NARC, Islamabad during the
summer season 2007. The average annual precipitation, temperature and relative
humidity recorded during the period have been shown in Fig 3.1
3.9 CULTURE MEDIA USED
Following media were used for isolation, purification and multiplication of
pathogenic fungi and antagonists.
3.9.1 Corn Meal Agar (CMA)
Corn meal = 20 g
Agar = 20 g
Dextrose = 20 g
Water = 1000 ml
3.9.2 Potato Dextrose Agar (PDA)
Potato starch = 20 g
Dextrose = 20 g
Agar = 20 g
32
Table 3.4 Physio-chemical analyses of the soil samples from experimental site
Parameter Depth
(inches)
Unit Value
pH 0-15 - 8.2
15-30 - 8.3
EC 0-15 dS/m 0.22
15-30 dS/m 0.18
CaCO3 0-15 % 5.1
15-30 % 5.4
OM 0-15 % 1.3
15-30 % 1.2
NO3-N 0-15 mg/kg 2.1
15-30 mg/kg 1.7
NaHCO3-P 0-15 mg/kg 3.6
15-30 mg/kg 3.4
K 0-15 mg/kg 49
15-30 mg/kg 45
Zn 0-15 mg/kg 0.28
15-30 mg/kg 0.20
Cu 0-15 mg/kg 0.52
15-30 mg/kg 0.50
Fe 0-15 mg/kg 8.6
15-30 mg/kg 7.0
Mn 0-15 mg/kg 10.8
15-30 mg/kg 10.2
33
Water = 1000 ml
3.9.3 Malt Extract Agar (MEA)
Malt extract = 20 g
Peptone = 1 g
Agar = 20 g
Dextrose = 20 g
Water = 1000 ml
3.9.4 Chloroneb Mercury Rose Bengal Agar (CMRA)
Chloroneb = 300 mg
Hg Cl = 90 mg
Streptomycin = 40 mg
Penicillin = 60 mg
Agar = 200 mg
Water = 1000 ml
3.9.5 Richard’s medium (RM)
KNO3 = 10 g
KH2PO4 = 5 g
MgSO4 = 1.3 g
Sucrose = 8 g
FeCl3 = 20 mg
Water = 1000 ml
34
3.9.6 Glucose Agar (GA)
Dextrose = 20 g
Agar = 20 g
Water = 1000 ml
3.10 DETERMINATION OF VARIABILITY AMONG ISOLATES OF M.
PHASEOLINA.
Variability among 65 isolates of M. phaseolina was studied on the basis of
morphological characteristics and their pathogenicity.
3.10.1 Morphological Variability
Morphological variability was based on radial growth, sclerotial size and
weight.
3.10.1.1 Radial growth
For studying variability in radial growth, the isolates were grown on Potato
Dextrose Agar. Fifteen ml of autoclaved PDA was poured in 90 mm diameter
petriplates and allowed to solidify. Five millimeter plug from the actively growing
culture of each isolate of the fungus was placed in the center of PDA plates
separately and incubated at 25±1°C for five days. Each isolate was replicated five
times. After stipulated period, the growth of each isolate was measured in terms of
colony diameter with the help of verniarcalipers and their means were computed.
35
On the basis of radial growth, the isolates were categorized as fast (> 80 mm),
medium (61-80 mm) and slow (< 61 mm) growing.
3.10.1.2 Sclerotial size
For measuring sclerotial size, slides from seven days old pure culture of M.
Phaseolina isolates were prepared and examined under microscope. Sizes of ten
randomly selected sclerotia were measured using ocular micrometer and their
means were found. These isolates were classified as large (>25µm), medium (21-25
µm) and small (<21 µm) sized.
3.10.1.3 Sclerotial Weight
In order to measure the dry weight of sclertia, each isolate of the fungus was
cultured on Potato Dextrose Broth (PDB). Hundred milliliter of broth in 250 ml
Erlenmeyer flasks was sterilized and inoculated with a 5 mm diameter scoop of
each isolate on cooloig with five replicates. The flasks were then incubated at
25±1°C for 15 days. The sclerotia were then filtered through Whatman,s filter paper
No.41, wrapped in aluminium foil and oven dried at 45°C for 24 hrs. The sclerotia
of each isolate were weighed using electric balance and grouped as high (> 0.15
mg), medium (0.11-0.15 mg) and low (< 0.11 mg) weight.
36
0
5
10
15
20
25
30
35
40
Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec0
50
100
150
200
250
300
350
400Mini.TempMax.Temp.R.H%Rainfall(mm)
Fig 3.1 Average Precipitation, Temperature and R.H% at NARC during the summer season 2007.
37
3.10.2 Pathogenic Variability
The pathogenicity of 65 isolates was studied on each of three cultivars of
mung (NM-92, NM-51 and AEM-96) and mash (Mash-88, Mash-2 and Mash-97) in
the glasshouse in a split plot design with cultivars as main plots and the isolates as
subplots. Each treatment was repeated three times. Seeds were disinfested by
immersing them in 2.5% NaOCl for 5 min, rinsed in sterilized water and air dried.
Before sowing, an indigenous Rhizobium spp. was used for coating surface
disinfected seeds.
Ten rhizobium coated seeds of each of three cultivars of mung and mash
were sown in 1-L pots containing 800 gm soil infested with each isolates of M.
phaseolina @ 2 gm/Kg soil. Pots without inoculum served as controls. The pots
were then placed on a tray and incubated in a glasshouse at 30 ± 2°C. Disease
severity incited by each isolate on each cultivar was assessed after 20 days of
germination using the disease rating scale developed by Abawi and Pastor (1990).
3.11 MANAGEMENT OF CHARCOAL ROT DISEASE
3.11.1 Evaluation of different antagonists for their efficacy against M.
Phaseolina.
3.11.1.1 In vitro evaluation of antagonists
Seven biocontrol agents viz, Trichoderma harzianum, T. hamatum, T. koningi, T.
pseudokoningi, T. viride T. aureoviride and Gliocladium virens were tested for their
antagonistic activity against M. phaseolina in vitro by dual culture technique
38
(Morton and Stroube, 1955). Petridishes (90 mm dia.) containing 15 ml of
autoclaved PDA were inoculated with 5-mm diameter mycelial discs each of 7-day-
old culture of the pathogen (MP-7) and antagonists at eqi distance from the
periphery and incubated for 6 days at 25±1°C in an incubator. Petriplates without
antagonists served as control. Each treatment was replicated five times. After 6 days
the radial growth of the pathogen was measured. Percent inhibition of radial growth
of M. phaseolina was calculated by applying the formula (Vincent, 1927).
Colony growth in Control–Colony growth in treated
% Growth inhibition= ----------------------------------------------------------------- x 100
Colony growth in Control
3.11.1.2 Pot culture assay
To evaluate the efficacy of antagonists in pots, ten seeds each of mung (NM-
92) and mash (Mash-98) were sown in pots containing 800 gm soil infested with
rice seeds colonized with M. phaseolina (MP-7) @ 2 gm/Kg soil. Each treatment
was replicated five times. The pots were placed in a glasshouse at 30oC in
completely randomized design (CRD). Data on percentage germination was
recorded after 20 days, and percentage increase or decrease over control was
calculated.
3.11.2 Evaluation of plant extracts for their effictiveness against M. Phaseolina.
Aqueous extracts of twenty different plant species were used for their
evaluation against phytopathogenic fungi M. phaseolina in vitro and pot culture
assay.
39
3.11.2.1 In vitro evaluation of plant extracts
For in vitro evaluation of aqueous plant extracts poisoned food technique
(Nene and Thapliyal, 1993) was used. Potato dextrose agar (PDA) medium was
used in the study. Twenty five ml of sterile extract from each concentration of test
plants was mixed with 175 ml potato dextrose agar medium amended with
streptomycin and carefully agitated to allow for proper mixing of extract and media.
15ml of aliquots of the amended media were dispensed into 90mm petridishes.
Once the amended agar had solidified, 5mm discs from the actively growing edge
of a 5 days old colony of M. phaseolina (MP-7) on PDA was placed in the center of
each plate and incubated at (25±1°C) for 6 days. The medium with Inoculum disc
but without any extract served as control. Each treatment was replicated five times.
The in vitro tests were carried out to measure the effects of the leaf extracts on
radial growth of the fungi. The inhibition of mycelial growth was determined by the
following formulae.
Control (area) – Treatment (area) % Mycelial inhibition = ------------------------------------------------------- x 100
Control (area)
3.11.2.2 Pot culture assay
Seeds each of mung (NM-92) and mash (Mash-98) were surface sterilized
for 10 min in 5% commercial sodium hypochlorite solution, washed in sterile
distilled water and air dried. The seeds were then soaked in different solutions of
botanical extracts for 30 min and then air dried for 3-4 hours in laminar flow
chamber. Control seeds treated with sterile distilled water were planted in soils
40
amended with rice seeds colonized with M. phaseolina @ 2gm/kg soil. Ten seeds
were planted in each pot. Each treatment was replicated five times. Data on
percentage germination/plant survival was recorded after 20 days.
3.11.3 Evaluation of Different Fungicides for their Effectiveness against M.
phaseolina.
Nine fungicides were tested for their efficiency to retard the fungal growth
of M. phaseolina in vitro and through pot culture assay.
3.11.3.1 In vitro evaluation of fungicides
The effectivity of the test fungicides was tested by using poisoned food
technique (Nene and Thapliyal, 1993). Requisite quantity of active ingredient of
each fungicide was mixed in autoclaved PDA to obtain the required concentrations
of 50, 100 and 150 ppm. Poisoned medium was then poured into each sterilized 90
mm dia sterilized petriplate, allowed to solidify and proceded as described in
section 3.11.2.1
3.11.3.2 Pot culture assay
For testing the effectivity of fungicides against M. phaseolina (MP-7) in
pots, surface sterilized seeds each of mung (NM-92) and mashbean (Mash-98) were
treated @ 1, 2 and 3 gm of a.i of each fungicide per kg of seed as slurry method.
Control seeds were treated with sterile distilled water. Ten seeds in five replications
were sown in sterile pots containing a mixture of soil and sand at the rate of 1: 1 (v:
v) amended with the rice seeds colonized with M. phaseolina @ 2gm/kg soil. The
41
pots were kept in growth rooms at 30 oC. Data on percentage germination/plant
survival was recorded after 20 days.
3.11.4 Evaluation of Mung and Mash Germplasm for their Resistance against Charcoal rot Disease under Greenhouse and Field Conditions.
One hundred accessions/lines each of mung and mash was screened for their
resistance against charcoal rot. Screening was done under artificial inoculation of
M. phaseolina in green house as well as in the field conditions. Field plots were
inoculated @ 2g of rice seeds infected with M. phaseolina per meter of row. Each
test entry was sown in 4m row length and plant to plant distance was maintained
30cm. In the green house 2-3 rice seeds infected with M. phaseolina are placed
around each seed of mung and mash in pots and covered with clean soil. Ten seeds
were planted in each pot having five replications. Data on disease severity was
recorded at maturity using disease ratting scale developed by Pastor Corrales and
Abawi (1988).
3.12 Statistical Analysis
All the lab experiments were repeated twice. Since there were no
discrepancies in the mean values of all the corresponding treatments of the repeated
experiments, the data of both the trials were amalgamated before statistical analysis.
Data were subject to Analysis of Variance (ANOVA) and means were compared by
Duncan’s Multiple Range Test (DMRT) at P=0.005, using Mstat C software.
Regression equations were drawn in Microsoft Excel 2003. Isolates were clustered
using Un-Paired Group Mean Average (UPGMA) method within the Statistica
version 6.1.
42
Table 3.5 Disease scoring scale (1-9) for the assessment of charcoal rot disease
Score Disease reaction Symptoms
1 Highly resistant (HR) No visible symptoms.
3 Resistant (R) Lesions are limited to cotyledonary tissues.
5 Tolerant (T) Lesions have progressed from cotyledons to about
2 cm of stem tissues.
7 Susceptible (S) Lesions are extensive on stem and branches.
9 Highly Susceptible (HS) Most of the stem and growing points are infected.
A considerable amount of Sclerotia are produced.
43
Chapter 4
RESULTS
4.1 MORPHOLOGICAL VARIABILITY AMONG MACROPHOMINA
PHASEOLINA ISOLATES
Significant variations have been observed in the morphology among 65
isolates of M. phaseolina in terms of radial growth, sclerotial size and weight.
4.1.1 Radial growth
Significant differences among 65 isolates of M. phaseolina collected from
different districts were observed on the basis of radial growth (F = 11.75; df = 64,
130; P < 0.001). The individual average radial growth of 65 isolates of M.
phaseolina ranged from 43.67 to 87.17 mm observed after 5 days of incubation.
Maximum colony diameter of 87.17 and 86.67 mm were observed in case of isolate
MP-7 (D.G.khan) and MP-26 (Layyah) proving to be the fast growing, while
isolates MP-29, MP-30, MP-31 and MP-34 showed minimum radial growth and
were rated as slow growing with average growth less than 55 mm. The rests of the
isolates showed intermediate growth (Table 4.1, Column 2). On the basis of growth
the isolates were classified as Fast, Intermediate and Slow growing (Table 4.1.1).
4.1.2 Sclerotial size
Significant variations were also observed among these isolates regarding
size of their sclerotia (F = 3.53; df = 64, 130; P < 0.001). Maximum sclerotial size
was observed in case of isolates MP-20 and MP-3 showing 29.00 and 27.33 µm
diameter, while the isolates MP-39, MP-38 and MP-45 were found to be the
smallest in size. The individual average sclerotial size of isolates ranged from
44
17.00-29.00 µm which are given in (Table 4.1, Column 3). On the basis of size, the
isolates were categorized as large, medium and small sized and shown in Table
4.1.2.
4.1.3 Sclerotial weight
Sclerotial weight was another parameter considered for variability. The
analysis of variance showed significant variability in sclerotial weight among the
isolates (F = 6.07; df = 64, 130; P < 0.001). The scrutiny of the data of sclerotial
weight given in (Table 4.1, Column 2) showed that MP-20, MP-23, MP-24 and
MP-52 produced maximum sclerotia giving maximum weight above 0.20 gm. The
lowest sclerotial production was found in isolate MP-46 with average weight of
0.087 g. The remaining isolates were intermediate in sclerotial weight. The isolates
were then grouped as high, medium and low weight as shown in Table 4.1.3.
The cluster analysis of 65 isolates of 14 districts on an average basis of
three morphological parameters (Radial growth, sclerotial size and sclerotial
weight) is shown in Fig4.1. In the dendogram, three main clusters were
distinguished, at a linkage distance of around 50 %. The first cluster comprised 8
isolates of Faisalabad and M. Garh districts, the second cluster comprised 13
isolates of Chakwal, Bhakkar and D. G. Khan districts and the third cluster
consisted of 44 isolates of the remaining districts. The isolates belonging to the
districts Chakwal, Bhakhar and D.G.khan showed optimum growth performance,
while the isolates belonging to M. Garh and Faisalabad exhibited poor growth
performance. The isolates in the third group were found intermediate in their
growth performance (Figure-4.1).
45
Table 4.1 Morphological variations among different isolates of M. phaseolina ISOLATES SCLEROTIAL WEIGHT SCLEROTIAL SIZE RADIAL GROWTH
1 2 3 4
MP-1 0.1000 H-L 26.67A-D 63.17I-R
MP-2 0.1233 E-L 23.50B-L 65.33I-P
MP-3 0.1000 H-L 27.33AB 75.17A-I
MP-4 0.1300D-L 19.67G-O 71.67F-M
MP-5 0.1500A-K 20.67F-O 72.33E-M
MP-6 0.1633A-H 20.33F-O 78.00A-H
MP-7 0.1500A-K 24.17A-J 87.17A
MP-8 0.1100G-L 20.83F-O 32.00T
MP-9 0.1300D-L 24.67A-H 52.83Q-S
MP-10 0.1300D-L 23.00B-M 83.00A-F
MP-11 0.1500A-K 19.67G-O 54.67O-S
MP-12 0.1633A-H 18.17L-O 64.33I-R
MP-13 0.1500A-K 21.17E-O 68.33H-N
MP-14 0.1300D-L 19.33H-O 84.67A-E
MP-15 0.1367C-L 19.00I-O 74.50B-K
MP-16 0.1433B-L 21.83C-O 68.00H-N
MP-17 0.1800A-F 24.50A-I 82.17A-G
MP-18 0.1900A-D 26.83A-C 74.83A-J
MP-19 0.1900A-D 21.17E-O 85.33A-C
MP-20 0.2100A 29.00A 62.50J-R
MP-21 0.1700A-G 20.33F-O 78.00A-H
MP-22 0.1900A-D 20.17F-O 71.83F-M
MP-23 0.2033AB 17.50M-O 65.17I-Q
MP-24 0.2000A-C 22.50B-O 64.00I-R
MP-25 0.1800A-F 22.67B-N 66.33H-O
MP-26 0.1700A-G 23.33B-L 86.67AB
MP-27 0.1800A-F 21.67C-O 82.83A-F
MP-28 0.1733A-G 17.33NO 43.83S
MP-29 0.1333D-L 18.00L-O 43.67S
MP-30 0.1333D-L 22.67B-N 44.00S
MP-31 0.1500A-K 26.33A-E 53.83P-S
MP-32 0.1167F-L 19.83G-O 83.33A-F
MP-33 0.1167F-L 17.67M-O 84.17A-F
46
MP-34 0.1000H-L 21.83C-O 53.17P-S
MP-35 0.1267D-L 24.67A-H 72.50D-M
MP-36 0.1000H-L 22.17B-O 61.50M-R
MP-37 0.1300D-L 19.33H-O 52.33RS
MP-38 0.08667KL 17.50M-O 73.00C-M
MP-39 0.0933I-L 17.00O 67.33H-N
MP-40 0.1000H-L 25.00A-G 74.17B-L
MP-41 0.1233E-L 23.50B-L 71.83F-M
MP-42 0.1333D-L 24.33A-J 73.17C-M
MP-43 0.1200E-L 18.83J-O 81.33A-G
MP-44 0.1233E-L 19.00I-O 85.00A-D
MP-45 0.1333D-L 22.50B-O 86.17AB
MP-46 0.0800L 17.50M-O 84.83A-E
MP-47 0.08667KL 21.33D-O 65.17I-Q
MP-48 0.1000H-L 18.50K-O 81.17A-G
MP-49 0.0900J-L 22.33B-O 64.17I-R
MP-50 0.1800A-F 20.33F-O 81.83A-G
MP-51 0.1667A-G 21.67C-O 56.50N-R
MP-52 0.2033AB 25.67A-F 78.00A-H
MP-53 0.1767A-F 23.50B-L 67.17H-N
MP-54 0.1900A-D 23.50B-L 78.50A-H
MP-55 0.2000A-C 24.17A-J 63.83I-R
MP-56 0.1567A-I 27.50AB 62.17K-R
MP-57 0.1833A-E 22.83B-N 71.83F-M
MP-58 0.1500A-K 24.00A-K 74.17B-L
MP-59 0.1567A-I 26.67A-D 78.17A-H
MP-60 0.1833A-E 19.33H-O 61.17M-R
MP-61 0.1800A-F 19.67G-O 69.67G-M
MP-62 0.1667A-G 21.50C-O 84.50A-E
MP-63 0.1500A-K 24.17A-J 61.67L-R
MP-64 0.1533A-J 19.83G-O 78.67A-H
MP-65 0.1567A-I 24.17A-J 54.50O-S
LSD 0.052 4.325 10.04
47
Table 4.1.1 Isolates categorized into three classes on the basis of radial
growth
S. No Category Number Isolates
1 Fast growing
> 80 mm
16 MP-7, MP-10, MP-14, MP-17, MP-19, MP-26, MP-27, MP-32, MP-33, MP-43, MP-44, MP-45, MP-46, MP-48, MP-50, MP-62
2 Medium growing
61-80 mm
38 MP-1, MP-2, MP-3, MP-4, MP-5, MP-6, MP-12, MP-13, MP-15, MP-16, MP-18, MP-20, MP-21, MP-22, MP-23, MP-24, MP-25, MP-35, MP-36, MP-38, MP-39, MP-40, MP-41, MP-42, MP-47, MP-49, MP-52, MP-53, MP-54, MP-55, MP-56, MP-57, MP-58, MP-59, MP-60, MP-61, MP-63, MP-64
3 low growing
< 61 mm
11 MP-8, MP-9, MP-11, MP-28, MP-29, MP-30, MP-31, MP-34, MP-37, MP-51, MP-65
48
Table 4.1.2 Isolates categorized into three classes on the basis of size of
sclerotia
S. No Category Number Isolates
1 Large
>25 um
9 MP-1, MP-3, MP-18, MP-20, MP-31, MP-40, MP-52, MP-56, MP-59
2 Medium
21-25 um
30 MP-2, MP-7, MP-9, MP-10, MP-13, MP-16, MP-17, MP-19, MP-24, MP-25, MP-26, MP-27, MP-30, MP-34, MP-35, MP-36, MP-41, MP-42, MP-45, MP-47, MP-49, MP-51, MP-53, MP-54, MP-55, MP-57, MP-58, MP-62, MP-63, MP-65
3 Small
< 21 um
26 MP-4, MP-5, MP-6, MP-8, MP-11, MP-12, MP-14, MP-15, MP-21, MP-22, MP-23, MP-28, MP-29, MP-32, MP-33, MP-37, MP-38, MP-39, MP-43, MP-44, MP-46, MP-48, MP-50, MP-60, MP-61, MP-64
49
Table 4.1.3 Isolates categorized into three classes on the basis of weight of
sclerotia
S. No Category Number Isolates
1 High
>0.15 mg
35 MP-5, MP-6, MP-7, MP-11, MP-12, MP-13,MP-17, MP-18, MP-19, MP-20, MP-21, MP-22, MP-23, MP-24, MP-25, MP-26, MP-27, MP-28, MP-31, MP-50, MP-51, MP-52, MP-53, MP-54, MP-55, MP-56, MP-57, MP-58, MP-59, MP-60, MP-61, MP-62, MP-63, MP-64, MP-65
2 Medium
0.11-0.15 mg
18 MP-2, MP-4, MP-9, MP-10, MP-14, MP-15, MP-16, MP-29, MP-30, MP-32, MP-33, MP-35, MP-37, MP-41, MP-42, MP-43, MP-44, MP-45
3 Low
< 0.11 mg
12 MP-1, MP-3, MP-8, MP-34, MP-36, MP-38, MP-39, MP-40, MP-46, MP-47, MP-48, MP-49
50
FaisalabadM.Garh
ChakwalBhakkar
D.G.KhanIslamabad
MianwaliBannu
NarowalSialkot
LayyahKohat
D.I.KhanRawalpindi
0
2
4
6
8
10
12
14
16
18
Link
age
Dis
tanc
e
Figure 4.1 Dendrogram derived from cluster analysis (UPGMA) showing relationship among the 65 isolates of M. phaseolina
on the basis of morphological characters collected from 14 districts of Punjab and KPK provinces.
51
4.1.2 Pathogenic Variability among M. Phaseolina Isolates
4.1.2.1 Pathogenic Variability among mungbean
Highly significant differences were observed among isolates, varieties and
their interactions. Significant variations in pathogenicity were found among sixty
five isolates of the fungus (F=34.31; DF=64, 388; P< 0.001) when tested against
three mungbean cultivars (NM-92, NM-51 and AEM-96) which also varied in
response to the isolates (F=52.049; DF=64, 388; P< 0.001). Six isolates viz, MP-7,
MP-13, MP-18, MP-48, MP-56 and MP-64 were found highly virulent against NM-
92 with mean disease severity scoring of 7.3. Five isolates viz, MP-8, MP-10, MP-
26, MP-35 and MP-60 were found to be least virulent in their reaction with average
disease score ranging between 2.3 to 3.7 showing that the cultivar is resistant
against these isolates (Table 4.2, Column 4).
Similarly nine isolates viz, MP-5, MP-16, MP-17, MP-22, MP-33, MP-37,
MP-44, MP-56 and MP-63 were detected to be virulent against NM-51 with
average disease score ranging from 7.0 to 7.7, while six isolates viz, MP-11, MP-
30, MP-31, MP-38, MP-53 and MP-60 exhibited least pathogenic reaction against
NM-51 with disease severity ranging from 2.0-3.0 and the remaining isolates
proved to be intermediate in their pathogenicity (Table 4.2 Coulmn 3).
Seventeen isolates appeared to be highly virulent towards AEM-96 as these
gave disease score above 7, while six isolates viz, MP-8, MP-25, MP-30, MP-31,
MP-35, MP-36 and MP-41 with average disease score ranged up to 3 proved to be
least virulent. The rest of the isolates found to be moderately virulent as shown in
52
(Table 4.2 Coulmn 4).
The Cluster analysis on the basis of pathogencity is shown in Fig 4.2. Sixty
five isolates were categorized into five clusters on the basis of 52ashbean52city
against three 52ashbean cultivars. Ten fungal isolates, of districts placed in cluster
2 and 3 were appeared to be least virulent. Whereas, eight isolates of diverse origin
in cluster 5 proved to be highly virulent for their virulence against 52ashbean
cultivars. The remaining isolates falling in cluster 3 and 4 were regarded as
moderately virulent.
4.1.2.2 Pathogenic Variability among mashbean
The analysis of variance showed highly significant pathogenic differences
among 65 isolates of M. phaseolina (F = 33.92; df = 64, 388; P < 0.001). against
mashhbean cultivars. Significant variations were also observed among cultivars (F
= 79.01; df = 2, 388; P < 0.001) in their response towards isolates. In Mash-88,
twenty three isolates with average disease score 7.0 and above were found to be
highly virulent. The other isolates exhibited intermediate reaction in relation to
pathogenicitycity against the cultivar and regarded as moderately virulent Table
4.3, Column 2.
Similarly, five isolates namely MP-16, MP-17, MP-25, MP-44 and MP-50
showed highly virulent reaction against Mash-2 with average disease score 7.0 and
above, While the remaining isolates were found to be moderately virulent as shown
in Table-4.3, Column 3. On the other hand, 48 isolates were found to be highly
virulent towards Mash-97 on the basis of disease score 7 and above, While the rest
of the isolates appeared moderately virulent (Table 4.3 Column 4).
53
Five clusters of 65 isolates of M. phaseolina against three 53ashbean
cultivars showed that the isolate MP-9 in cluster-1 and MP-8, MP-10, MP-29 and
MP-30 in cluster-2 were found least aggressive in their reaction against three mash
cultivars, while 12 isolates of different origins were found to be more aggressive,
were in cluster 4 and 5, while the remaining were placed in cluster 3 (Fig 4.3).
54
Table 4.2 Differential response of selected mungbean cultivars against various isolates of M. phaseolina
ISOLATES NM-92 NM-51 AEM-96
1 2 3 4
MP-1 5.7DEFG 5.7DEFG 5.7DEFG
MP-2 7.0ABC 4.7GHIJ 7.3AB
MP-3 5.7DEFG 5.3EFGH 7.0ABC
MP-4 6.7ABCD 7.0ABC 7.3AB
MP-5 6.0CDEF 7.7A 7.3AB
MP-6 6.3BCDE 5.7DEFG 6.0CDEF
MP-7 7.3AB 6.7ABCD 7.0ABC
MP-8 2.7MN 5.7DEFG 3.0LMN
MP-9 4.3HIJK 5.3EFGH 4.7GHIJ
MP-10 2.3MN 5.7DEFG 5.0FGHI
MP-11 5.7DEFG 2.7MN 4.3HIJK
MP-12 6.0CDEF 4.7GHIJ 5.7DEFG
MP-13 7.3AB 6.0CDEF 4.3HIJK
MP-14 4.7GHIJ 7.0ABC 5.3EFGH
MP-15 4.3HIJK 5.0FGHI 7.0ABC
MP-16 6.3BCDE 7.3AB 5.7DEFG
MP-17 7.0ABC 7.3AB 6.0CDEF
MP-18 7.3AB 5.7DEFG 5.7DEFG
MP-19 5.7DEFG 6.0CDEF 4.3HIJK
MP-20 4.3HIJK 6.3BCDE 7.3AB
MP-21 4.7GHIJ 7.0ABC 5.3EFGH
MP-22 6.0CDEF 7.3AB 4.7GHIJ
MP-23 5.3EFGH 5.7DEFG 7.7A
MP-24 4.7GHIJ 5.0FGHI 5.7DEFG
MP-25 5.7DEFG 5.3EFGH 2.7MN
MP-26 2.7MN 6.7ABCD 7.3AB
MP-27 3.3KLM 7.0ABC 7.7A
MP-28 5.3EFGH 4.3HIJK 5.7DEFG
MP-29 6.0CDEF 4.0IJK 7.0ABC
MP-30 5.3EFGH 2.3MN 3.0LMN
MP-31 4.3HIJK 2.0N 3.3KLM
55
MP-32 2.3MN 4.7GHIJ 4.7GHIJ
MP-33 5.7DEFG 7.3AB 6.7ABCD
MP-34 5.3EFGH 4.3HIJK 7.3AB
MP-35 3.3KLM 4.7GHIJ 2.3MN
MP-36 5.3EFGH 4.3HIJK 2.7MN
MP-37 5.7DEFG 7.3AB 7.0ABC
MP-38 4.3HIJK 3.0LMN 5.3EFGH
MP-39 6.0CDEF 5.7DEFG 6.7ABCD
MP-40 2.7MN 4.0IJK 5.7DEFG
MP-41 7.0ABC 5.3EFGH 3.3KLM
MP-42 5.7DEFG 7.0ABC 7.3AB
MP-43 6.7ABCD 5.7DEFG 7.0ABC
MP-44 6.0CDEF 7.7A 7.7A
MP-45 4.7GHIJ 7.0ABC 5.7DEFG
MP-46 5.7DEFG 4.3HIJK 2.7MN
MP-47 5.3EFGH 4.7GHIJ 5.7DEFG
MP-48 7.3AB 6.0CDEF 7.0ABC
MP-49 5.3EFGH 4.0IJK 5.7DEFG
MP-50 5.7DEFG 5.7DEFG 7.3AB
MP-51 5.3EFGH 7.0ABC 7.7A
MP-52 4.7GHIJ 4.3HIJK 5.3EFGH
MP-53 5.7DEFG 2.7MN 7.3AB
MP-54 4.3HIJK 4.0IJK 5.7DEFG
MP-55 7.0ABC 5.3EFGH 7.3AB
MP-56 7.3AB 7.3AB 6.0CDEF
MP-57 5.7DEFG 5.3EFGH 7.7A
MP-58 4.7GHIJ 5.7DEFG 7.0ABC
MP-59 5.7DEFG 4.3HIJK 5.3EFGH
MP-60 3.7JKL 2.3MN 6.7ABCD
MP-61 4.3HIJK 4.7GHIJ 7.3AB
MP-62 5.3EFGH 5.7DEFG 5.7DEFG
MP-63 6.7ABCD 7.3AB 4.7GHIJ
MP-64 7.3AB 5.3EFGH 7.7A
MP-65 5.7DEFG 4.0IJK 5.3EFGH
56
MP-
46M
P-36
MP-
25M
P-41
MP-
13M
P-60
MP-
38M
P-31
MP-
30M
P-11
MP-
40M
P-32
MP-
10M
P-35
MP-
8M
P-27
MP-
26M
P-45
MP-
21M
P-14
MP-
19M
P-9
MP-
63M
P-22
MP-
56M
P-17
MP-
16M
P-51
MP-
42M
P-37
MP-
33M
P-44
MP-
5M
P-7
MP-
4M
P-53
MP-
34M
P-29
MP-
58M
P-20
MP-
61M
P-15
MP-
57M
P-23
MP-
39M
P-50
MP-
3M
P-48
MP-
43M
P-64
MP-
55M
P-2
MP-
54M
P-52
MP-
24M
P-65
MP-
59M
P-47
MP-
49M
P-28
MP-
12M
P-18
MP-
6M
P-62
MP-
1
0
1
2
3
4
5Li
nkag
e D
ista
nce
Fig- 4.2 Dendrogram showing the clustering of the virulence of M. phaseolina isolates on 3 Mungbean cultivars.
57
Table- 4.3 Differential response of selected mashbean cultivars against various isolates of M. phaseolina
ISOLATES Mash-88 Mash-2 Mash-97
1 2 3 4
MP-1 7.0 EFG 5.7 HIJ 7.3 DEF
MP-2 8.3 ABC 5.7 HIJ 6.7 EFG
MP-3 7.7CDE 6.3FGH 7.0EFG
MP-4 7.0EFG 7.7CDE 8.7AB
MP-5 6.7 EFG 7.7CDE 7.0EFG
MP-6 8.7AB 7.0EFG 7.7CDE
MP-7 9.0A 7.3DEF 6.3FGH
MP-8 5.7HIJ 4.3LMN 5.0JKL
MP-9 3.7NO 5.7HIJ 3.3O
MP-10 6.0GHI 4.3LMN 4.3LMN
MP-11 6.3FGH 5.3IJK 7.0EFG
MP-12 7.0EFG 5.3IJK 7.3DEF
MP-13 8.7AB 7.3DEF 5.7HIJ
MP-14 6.0GHI 7.3DEF 7.0EFG
MP-15 5.3IJK 5.7HIJ 7.7CDE
MP-16 7.7CDE 9.0A 7.0EFG
MP-17 7.3DEF 9.0A 7.3DEF
MP-18 8.0BCD 7.3DEF 7.0EFG
MP-19 6.7EFG 7.0EFG 8.7AB
MP-20 5.3IJK 6.3FGH 7.0EFG
MP-21 6.0GHI 7.0EFG 9.0A
MP-22 7.0EFG 7.7CDE 9.0A
MP-23 5.7HIJ 7.0EFG 7.3DEF
MP-24 5.3IJK 7.3DEF 7.0EFG
MP-25 6.3FGH 9.0A 7.7CDE
MP-26 5.7HIJ 6.7EFG 7.7CDE
MP-27 4.7KLM 7.0EFG 7.0EFG
MP-28 6.0GHI 7.7CDE 7.3DEF
MP-29 6.3FGH 4.3LMN 4.3LMN
MP-30 6.3FGH 3.3O 4.0MNO
MP-31 4.3LMN 5.7HIJ 7.0EFG
58
MP-32 5.0JKL 5.3IJK 6.3FGH
MP-33 4.3LMN 5.0JKL 5.7HIJ
MP-34 5.3IJK 6.0GHI 5.7HIJ
MP-35 6.7EFG 7.0EFG 6.3FGH
MP-36 3.7NO 5.7HIJ 6.7EFG
MP-37 6.7EFG 5.3IJK 7.0EFG
MP-38 4.7KLM 4.3LMN 7.7CDE
MP-39 7.3DEF 6.3FGH 7.3DEF
MP-40 6.0GHI 5.7HIJ 7.3DEF
MP-41 4.7KLM 6.0GHI 5.7HIJ
MP-42 7.0EFG 7.3DEF 8.3ABC
MP-43 9.0A 7.7CDE 7.3DEF
MP-44 7.3DEF 9.0A 7.3DEF
MP-45 9.0A 7.3DEF 7.0EFG
MP-46 6.7EFG 5.3IJK 7.0EFG
MP-47 7.3DEF 6.0GHI 7.3DEF
MP-48 7.7CDE 6.3FGH 7.0EFG
MP-49 7.0EFG 5.7HIJ 7.3DEF
MP-50 6.7EFG 8.0BCD 9.0A
MP-51 6.3FGH 7.3DEF 7.7CDE
MP-52 7.0EFG 5.7HIJ 6.3FGH
MP-53 6.0GHI 5.7HIJ 7.7CDE
MP-54 6.3FGH 7.0EFG 8.3ABC
MP-55 7.7CDE 7.7CDE 7.3DEF
MP-56 9.0A 7.0EFG 7.3DEF
MP-57 6.7EFG 7.7CDE 9.0A
MP-58 5.7HIJ 7.3DEF 7.0EFG
MP-59 6.7EFG 7.0EFG 9.0A
MP-60 6.7EFG 7.7CDE 7.0EFG
MP-61 5.3IJK 7.0EFG 8.7AB
MP-62 7.0EFG 7.7CDE 6.3FGH
MP-63 4.7KLM 7.0EFG 7.3DEF
MP-64 5.7HIJ 7.3DEF 7.0EFG
MP-65 6.3FGH 7.7CDE 6.7EFG
59
MP-
9M
P-30
MP-
29M
P-10
MP-
8M
P-38
MP-
41M
P-34
MP-
33M
P-32
MP-
36M
P-31
MP-
53M
P-40
MP-
15M
P-63
MP-
27M
P-20
MP-
26M
P-24
MP-
23M
P-64
MP-
58M
P-14
MP-
25M
P-44
MP-
17M
P-16
MP-
62M
P-35
MP-
51M
P-28
MP-
65M
P-60
MP-
5M
P-61
MP-
21M
P-42
MP-
54M
P-59
MP-
19M
P-57
MP-
50M
P-22
MP-
4M
P-13
MP-
7M
P-55
MP-
18M
P-56
MP-
45M
P-43
MP-
6M
P-47
MP-
39M
P-48
MP-
3M
P-2
MP-
52M
P-46
MP-
37M
P-11
MP-
12M
P-49
MP-
1
0
1
2
3
4
5Li
nkag
e D
ista
nce
Fig- 4.3 Dendrogram showing the clustering of the virulence of M. phaseolina isolates on 3 Mashbean cultivars.
60
4.2 MANAGEMENT OF CHARCOAL ROT DISEASE
4.2.1 Inhibitory effect of antagonists against M. phaseolina
All the antagonists significantly retarded the growth of M. phaseolina in
vitro (F=21.525; df= 6, 14; P< 0.001). Maximum reduction (79.63%) was observed
with T. harzianum while T. pseudokoningii caused the minimum decrease (58.14%)
in growth of all the test antagonists. The inhibition in growth caused by all the
antagonists is given in Table 4.4.
4.2.2 Effects of antagonists on the plant survival of mungbean and
mashbean
Antagonists exhibited significant variations in their efficacy (F=18.088;
df=6, 14; P< 0.001) on plant survival of mungbean when used as seed treatment.
Maximum average plant survival was obtained with T. harzianum followed by T.
hamatum and T. viride while T. pseudokoningii gave the poorest germination of all
the test biocontrol agents. Maximum individual germination of 86.67% was
achieved with T. harzianum at a concentration of 2x108 (propagules/ml), while the
minimum (33.33%) was recorded with T. pseudokoningii at 2x104. Individual
germination of mung with all the antagonists at three concentrations is given in
Table 4.5.
Concentrations also had significant effects on plant survival being
maximum at the highest concentration. The plant survival decreased as the
concentrations of the antagonists decreased. The antagonists gave almost the
similar kind of results in case of mash and are shown in Table 4.6.
61
Table 4.4 Effect of antagonists on the radial growth of M. phaseolina
S.No Treatments % growth inhibition
over control
1 T. harzianum 79.63
2 T. hamatum 76.30
3 T. viridae 73.70
4 T. aueroviride 68.89
5 T. koningii 64.81
6 T. pseudokoningii 58.14
7 G. virens 62.22
LSD Value = 4.62 aValues are the means of the five replicate samples bFigures following ± are standard errors
62
Table 4.5 Effect of antagonists on plant survival of mungbean
Increase in plant survival over control
at
S.No
Antagonist
2×104 2×106 2×108 Average
1 T. harzianum 63.33 ± 3.33 73.33 ± 3.33 86.67 ± 3.33 74.44
2 T. hamatum 60.00 ± 0.00 70.00 ± 0.00 76.67 ± 3.33 68.89
3 T. viride 56.67 ± 3.33 63.33 ± 3.33 70.00 ± 0.00 63.33
4 T. aueroviride 53.33 ± 3.33 60.00 ± 0.00 66.67 ± 3.33 60.00
5 T. koningii 43.33 ± 3.33 53.33 ± 3.33 56.67 ± 3.33 51.11
6 T. pseudokoningii 33.33 ± 3.33 40.00 ± 5.77 43.33 ± 3.33 38.86
7 G. virens 40.00 ± 5.77 43.33 ± 3.33 50.00 ± 5.77 44.44
LSD Value for average values = 5.96 aValues are the means of the five replicate samples bFigures following ± are standard errors
63
Table 4.6 Effect of antagonists on plant survival of mashbean
Increase in plant survival over control
at
S.No
Antagonist
2×104 2×106 2×108 Average
1 T. harzianum 63.33 ± 3.33 70.00 ± 5.77 80.00 ± 5.77 71.11
2 T. hamatum 60.00 ± 5.77 66.67 ± 3.33 73.33 ± 3.33 66.66
3 T. viride 56.67 ± 3.33 60.00 ± 0.00 66.67 ± 3.33 61.11
4 T. aueroviride 46.67 ± 3.33 56.67 ± 3.33 63.33 ± 3.33 55.56
5 T. koningii 43.33 ± 3.33 46.67 ± 3.33 56.67 ± 3.33 48.89
6 T. pseudokoningii 30.00 ± 0.00 43.33 ± 3.33 50.00 ± 0.00 41.11
7 G. virens 33.33 ± 3.33 46.67 ± 3.33 53.33 ± 3.33 44.44
LSD Value = 8.94 aValues are the means of the five replicate samples bFigures following ± are standard errors
64
4.2.3 Effects of plant extracts on the growth of M. Phaseolina
The aqueous extracts of all the tested plants significantly suppressed the
growth of M. phaseolina (F=165.80; df=19,120; P> 0.001). Of all the plants, C.
lopticum proved to be the most effective in suppressing the growth of the pathogen
at all concentrations followed by A. indica and N. sativa as against N. indicum, F.
vulgare and T. foenumgraecum which appeared to be least effective. The individual
growth inhibitions at four concentrations of test plants are given in Table 4.7.
Similarly, concentrations also had significant inhibitory effect on the growth
(F=1362.89; df= 3, 120; P> 0.001), being the maximum at 100 % concentration of
the extracts. As the concentration of extracts lowered, the magnitude of inhibition
of growth of the fungus also decreased significantly. A direct relationship between
concentrations and growth inhibitions was observed in case of all the test plants as
shown in Table 4.7.1.
4.2.4 Effects of plant extracts on plant survival of mungbean and mashbean
All the plant extracts when used as seed treatment significantly enhanced plant
germination in terms of plant survival. Of all the test plants, C. lopticum showed
maximum increase in survival of mungbean plants over control followed by A.
indica and N. sativa. On the other hand, N. indicum, F. vulgare and T.
foenumgraecum were appeared the least effective in reducing the damage of the
pathogen. The maximum individual survival (83.52 %) was achieved with 100 %
concentration of C. lopticum as against the minimum of 20 % obtained with L.
inermis at 25 % concentration. The individual percent increases of plant survival at
65
four concentrations of the test plants are given in Table 4.8. Significant effect of
concentrations was also observed. Maximum plant increase in survival was
recorded at 100% concentration of extracts. The effect of the plant extracts
diminished as the concentration decreased. The effect of concentrations was found
to be directly proportional to plant survival and these relationships have been
shown by regression equations given in Table 4.8.1. A similar pattern was observed
in case of mashbean. The individual increases in plant survivals and relationships
between the concentrations and plant survivals are given in Table 4.9, 4.9.1.
66
Table 4.7 Effect of plant extracts on the growth of M. phaseolina
Plant Extract % inhibition over control
25 % 50 % 75 % 100 % Average
Azadirachta indica 43.33±0.58 44.44±0.58 58.89±1.16 76.11±1.04 55.69
Cannabis sativa 14.44±1.16 17.59±1.01 25.19±0.88 31.11±0.58 22.08
Olea europaea 36.30±0.33 7.96±2.17 48.15±1.48 64.07±2.03 46.62
Mentha Piperita 28.33±1.44 30.37±1.45 37.41±2.03 39.26±2.33 33.84
Melia azadirachta 24.44±1.16 26.85±0.73 38.70±1.30 49.44±0.76 34.86
Nerium indicum 8.15±1.20 11.11±1.16 17.22±1.32 27.41±0.88 15.97
Carum Lopticum 57.41±0.73 62.59±2.03 70.93±1.01 83.52±1.92 68.61
Calotropis procera 30.74±0.88 31.67±0.76 41.67±1.32 47.04±0.88 37.78
Ocimum americanum 30.19±2.05 32.22±2.08 49.07±1.30 54.81±1.45 41.57
Foeniculum vulgare 7.04±1.20 9.44±1.61 18.15±1.45 31.11±1.15 16.44
Dalbergia sissoo 17.04±1.45 18.70±1.18 29.81±1.01 38.15±1.45 25.93
Trigonella foenumgraecum 7.78±1.15 8.70±0.44 21.48±1.20 32.04±1.17 17.50
Cassia fistula 26.85±1.64 32.96±1.45 38.70±1.01 44.44±1.73 35.74
Anethum graveolens 10.74±0.88 14.44±1.15 31.85±1.45 44.26±1.17 25.32
Nigella sativa 48.33±2.36 52.04±1.74 60.56±1.61 70.37±0.88 57.82
Matricharria chammomilla 17.78±1.15 21.48±1.45 28.15±1.45 39.44±1.44 26.71
Cassia angustifolia 27.04±1.59 30.93±1.17 42.04±1.01 55.19±0.33 38.80
Parthenium hysterophorus 32.22±0.58 32.22±1.73 40.56±1.44 49.44±0.76 38.61
Lawsonia inermis 30.37±2.03 38.89±1.15 44.07±1.20 50.74±0.88 41.02
Nicotiana tabacum 18.52±2.03 25.19±1.45 28.15±0.88 38.52±1.45 27.59
LSD Value= 2.83 aValues are the means of the five replicate samples bFigures following ± are standard errors
67
Table 4.7.1 Relationships between concentrations of plant extracts and radial
growth of M. phaseolina
Plant Extract Regression equation R2
Azadirachta indica y = 45.111x + 27.500 0.9003
Cannabis sativa y = 23.037x + 7.685 0.9776
Olea europaea y = 37.407x + 23.241 0.8951
Mentha Piperita y = 15.926x + 23.889 0.9385
Melia azadirachta y = 34.74x + 13.148 0.9427
Nerium indicum y = 25.556x + 0.0006 0.9398
Carum Lopticum y = 34.667x + 46.944 0.9646
Calotropis procera y = 23.555x + 23.056 0.9237
Ocimum americanum y = 36.296x + 18.889 0.9175
Foeniculum vulgare y = 32.371x + -3.7967 0.9211
Dalbergia sissoo y = 29.778x + 7.3144 0.9372
Trigonella foenumgraecum y = 34.222x + -3.8889 0.9171
Cassia fistula y = 23.407x + 21.112 0.9998
Anethum graveolens y = 47.184x + 4.1661 0.9502
Nigella sativa y = 29.852x + 39.167 0.9655
Matricharria chammomilla y = 28.667x + 8.7961 0.9464
Cassia angustifolia y = 38.223x + 14.907 0.9525
Parthenium hysterophorus y = 24.00x + 23.611 0.8877
Lawsonia inermis y = 26.52x + 24.444 0.9909
Nicotiana tabacum y = 25.185x + 11.852 0.9538
68
Table 4.8 Effect of plants extracts on the plant survival of mungbean
Plant Extract % increase over control
25 % 50 % 75 % 100 % Average
Azadirachta indica 50.00±0.00 53.33±0.33 66.67±0.33 80.00±0.58 62.50
Cannabis sativa 30.00±0.58 33.33±0.33 40.00±0.00 40.00±0.58 35.83
Olea europaea 36.67±0.33 36.67±0.33 46.67±0.00 60.00±0.58 45.00
Mentha Piperita 33.33±0.33 23.33±0.33 33.33±0.33 40.00±0.58 32.50
Melia azadirachta 26.67±0.33 26.67±0.33 36.67±0.33 43.33±0.33 33.33
Nerium indicum 36.67±0.33 30.00±0.00 40.00±0.00 43.33±0.33 35.00
Carum Lopticum 46.67±0.33 50.00±0.00 63.33±0.33 83.33±0.33 60.83
Calotropis procera 26.67±0.33 30.00±0.58 46.67±0.33 50.00±0.58 38.33
Ocimum americanum 30.00±0.00 40.00±0.00 53.33±0.33 63.33±0.33 46.67
Foeniculum vulgare 23.33±0.33 26.67±0.33 36.67±0.33 46.67±0.33 33.33
Dalbergia sissoo 23.33±0.33 30.00±0.58 40.00±0.00 46.67±0.33 35.00
Trigonella foenumgraecum 26.67±0.33 33.33±0.33 43.33±0.33 53.33±0.33 39.17
Cassia fistula 26.67±0.00 26.67±0.33 33.33±0.33 43.33±0.33 32.50
Anethum graveolens 26.67±0.33 33.33±0.33 43.33±0.33 50.00±0.00 38.33
Nigella sativa 46.67±0.33 53.33±0.33 60.00±0.58 76.67±0.33 59.17
Matricharria chammomilla 26.67±0.33 30.00±0.58 36.67±0.33 43.33±0.33 34.17
Cassia angustifolia 33.33±0.33 36.67±0.33 50.00±0.58 73.33±0.33 48.33
Parthenium hysterophorus 26.67±0.33 30.00±0.58 43.33±0.33 53.33±0.33 38.33
Lawsonia inermis 20.00±0.00 23.33±0.33 33.33±0.33 40.00±0.00 29.17
Nicotiana tabacum 26.67±0.33 30.00±0.00 43.33±0.33 46.67±0.33 36.67
LSD Value= 5.88 aValues are the means of the five replicate samples bFigures following ± are standard errors
69
Table 4.8.1 Relationships between concentrations of plant extracts and mungbean plant survival
Plant Extract Regression equation R2
Azadirachta indica Y = 41.336x + 36.665 0.9468
Cannabis sativa Y = 14.668x + 26.665 0.8963
Olea europaea Y = 31.996x + 25.005 0.8727
Mentha Piperita Y = 20.004x + 19.995 0.8824
Melia azadirachta Y = 23.992x + 18.34 0.9000
Nerium indicum Y = 23.992x + 20.005 0.9529
Carum Lopticum Y = 49.324x + 30.005 0.9157
Calotropis procera Y = 34.664x + 16.67 0.9134
Ocimum americanum Y = 45.328x + 18.335 0.9966
Foeniculum vulgare Y = 32.008x + 13.33 0.9601
Dalbergia sissoo Y = 32.008x + 14.995 0.9931
Trigonella foenumgraecum Y = 35.992x + 16.67 0.9918
Cassia fistula Y = 22.656x + 18.34 0.8626
Anethum graveolens Y = 31.996x + 18.335 0.9931
Nigella sativa Y = 38.668x + 35.00 0.9396
Matricharria chammomilla Y = 22.66x + 20.005 0.9796
Cassia angustifolia Y = 53.332x + 15.00 0.899
Parthenium hysterophorus Y = 37.324x + 15.005 0.9561
Lawsonia inermis Y = 28.00x + 11.665 0.9692
Nicotiana tabacum Y = 29.332x + 18.335 0.9308
70
Table 4.9 Effect of plants extracts on the plant survival of mashbean
Plant Extract % increase over control
25 % 50 % 75 % 100 % Average
Azadirachta indica 46.67±0.33 50.00±0.00 63.33±0.33 73.33±0.33 58.33
Cannabis sativa 33.33±0.33 36.67±0.33 43.33±0.33 50.00±0.58 40.83
Olea europaea 40.00±0.58 43.33±0.33 50.00±0.58 56.67±0.33 47.50
Mentha Piperita 23.33±0.33 26.67±0.33 36.67±0.33 46.67±0.33 33.33
Melia azadirachta 26.67±0.33 33.33±0.33 40.00±0.58 43.33±0.33 35.83
Nerium indicum 23.33±0.33 33.33±0.33 43.33±0.33 46.67±0.33 36.67
Carum Lopticum 36.67±0.33 40.00±0.58 60.00±0.58 70.00±0.58 51.67
Calotropis procera 23.33±0.33 26.67±0.33 36.67±0.33 46.67±0.33 33.33
Ocimum americanum 33.33±0.33 36.67±0.33 53.33±0.33 56.67±0.33 45.00
Foeniculum vulgare 20.00±0.00 26.67±0.33 36.67±0.33 40.00±0.58 30.83
Dalbergia sissoo 26.67±0.33 33.33±0.33 36.67±0.33 43.33±0.33 35.00
Trigonella foenumgraecum 23.33±0.33 26.67±0.33 43.33±0.33 50.00±0.58 35.83
Cassia fistula 26.67±0.33 30.00±0.58 40.00±0.58 46.67±0.33 35.83
Anethum graveolens 23.33±0.33 30.00±0.00 40.00±0.58 46.67±0.33 35.00
Nigella sativa 43.33±0.33 50.00±0.00 60.00±0.58 76.67±0.33 57.50
Matricharria chammomilla 26.67±0.33 23.33±0.33 33.33±0.33 50.00±0.00 33.33
Cassia angustifolia 36.67±0.33 40.00±0.58 50.00±0.58 60.00±0.58 46.67
Parthenium hysterophorus 30.00±0.58 33.33±0.33 43.33±0.33 50.00±0.58 39.17
Lawsonia inermis 23.33±0.33 23.33±0.33 40.00±0.00 43.33±0.33 32.50
Nicotiana tabacum 23.33±0.33 23.33±0.33 30.00±0.58 43.33±0.33 30.00
LSD Value= 6.80 aValues are the means of the five replicate samples bFigures following ± are standard errors
71
Table 4.9.1 Relationships between concentrations of plant extracts and
mashbean plant survival.
Plant Extract Regression equation R2
Azadirachta indica y= 37.324x + 35.005 0.9561
Cannabis sativa y= 22.668x + 26.665 0.9797
Olea europaea y= 22.672x + 33.33 0.9796
Mentha Piperita y= 32.008x + 13.33 0.9601
Melia azadirachta y= 22.66x + 21.67 0.9796
Nerium indicum y= 32.008x + 16.66 0.9601
Carum Lopticum y= 44.008x + 29.995 0.9595
Calotropis procera y= 32.008x + 13.33 0.9601
Ocimum americanum y= 34.672x + 23.33 0.9137
Foeniculum vulgare y= 28.00x + 13.335 0.9692
Dalbergia sissoo y= 21.328x + 21.67 0.9847
Trigonella foenumgraecum y= 38.668x + 11.665 0.9398
Cassia fistula y= 28.00x + 18.335 0.9692
Anethum graveolens y= 32.008x + 14.995 0.9931
Nigella sativa y= 47.996x + 21.67 0.9391
Matricharria chammomilla y= 31.996x + 13.335 0.7577
Cassia angustifolia y= 31.996x + 26.67 0.96
Parthenium hysterophorus y= 28.00x + 21.665 0.9692
Lawsonia inermis y= 30.668x + 13.33 0.8601
Nicotiana tabacum y= 26.668x + 13.33 0.8334
72
4.2.5 Inhibitory effect of fungicides on the radial growth of M. phaseolina
Highly significant inhibitory effects of fungicides (F = 380.036; df = 8, 18;
P < 0.001) and their concentrations (F = 594.695; df = 2, 36; P < 0.001) were
recorded on the growth of M. phaseolina. The interaction between fungicides and
their concentration was also found to be highly significant (F = 13.097; df = 16, 36;
P < 0.001).
All the fungicides caused significant inhibition of the fungus over control.
Maximum individual inhibition of the growth of the fungus was recorded by
Benomyl (83.89%) followed by Carbendazim (79.11%) at a concentration of 150
ppm. Copperoxychloride at a concentration of 50 ppm gave the minimum
inhibition (12.50%). The individual inhibitions caused by the fungicides are given
in the Table 4.10. Concentrations also had significant inhibitory effects on the
growth of the fungus. All the fungicides caused maximum inhibition of the growth
of the fungus at a concentration of 150 ppm.
With the decrease in the concentration, the inhibition in the growth also
decreased. The inhibition of growth was found to be directly proportional to the
concentration.
4.2.6 Effect of fungicides on plant survival of mungbean and mashbean
Fungicides also affected significantly the plant survival of mungbean (F =
13.760; df = 8, 18; P < 0.001) and mashbean (F = 27.620; df = 8, 18; P < 0.001)
over control. Maximum plant survival was observed where the seeds were treated
with Benomyl followed by Carbendazim. However, Copper + Mancozeb and
73
Copperoxychloride treated seeds gave the minimum germination and survival of
plants. Doses also had a significant effect on the germination and plant survival.
Maximum germination and survival was recorded where the seeds were treated
with a concentration of 150 ppm and minimum was recorded in case of 50 ppm
concentration. The individual germinations and survivals of mung and mash are
shown in Table 4.11 and 4.12 respectively.
It was also observed that higher concentrations of all the fungicides were
significantly better as compared to other concentrations. With the decrease in the
concentration the germination and survival decreased significantly showing a direct
relationship between concentrations and plant survival. Benomyl at 150 ppm
concentration showed highest rate of plant survival 76.67% whereas Carbendazim
and Propineb on same concentration exhibited 66.67 and 63.33% plant survival
respectively. Other fungicides also showed enhanced effect on 150 ppm as
compared to other concentrations but having minimum plant survival rate (40-
56%). Copperoxychloride remained behind in its effectiveness in terms of disease
incidence and plant survival (Table 4.11 and 4.12). All chemicals were significant
on all concentrations by statistical analysis.
4.2.7 Host Plant Resistance against M. phaseolina
4.2.7.1 Mash germplasm screening
The mash genotypes showed differences in their response to charcoal rot in
terms of disease severity both in greenhouse and field conditions. Out of one
hundred accessions, five genotypes (013468, 013477, 013663, 013667 and 013668)
were found to be highly resistant, whereas 11 resistant, 30 tolerant, 23 susceptible.
74
Table 4.13 In Vitro radial growth inhibition of M. Phaseolina
% growth inhibition at Fungicides
50ppm 100ppm 150ppm Average
Propineb 41.11 ± 1.61
50.33 ± 1.88 61.44 ± 1.36 50.96
Copper+Mancozeb
8.33 ± 1.26
26.11 ± 1.80
53.56 ± 1.17
29.33
Mancozeb
21.44 ± 0.60
30.89 ± 1.01
56.11 ± 1.15
36.15
Carbendazim 63.33 ± 1.61
73.00 ± 1.30
79.11 ± 1.30
71.81
Captan 19.22 ± 2.17
31.67 ± 1.04
41.44 ± 1.17
30.78
Benomyl 66.89 ± 1.45
78.67 ± 1.59
83.89 ± 1.15
76.48
Meatalaxyl+Mancozeb 42.56 ± 1.01
51.44 ± 1.45
57.78 ± 0.87
50.59
Copper oxychloride 12.56 ± 0.93
23.89 ± 0.00
34.22 ± 1.01
23.56
Chlorothalonil 25.89 ± 1.30
34.44 ± 1.44
53.33 ± 2.75
37.89
LSD Value= 3.02 aValues are the means of the five replicate samples bFigures following ± are standard errors
75
Table 4.14 Effect of fungicides on plant survival of mungbean against
charcoal rot (M. Phaseolina)
Plant survival at Fungicides
50ppm 100ppm 150ppm Average
Propineb 43.33 ± 0.33
50.00 ± 0.58 63.33 ± 0.33
52.22
Copper+Mancozeb
26.67 ± 0.33
33.33 ± 0.33
43.33 ± 0.33
34.44
Mancozeb
30.00 ± 0.00
36.67 ± 0.33
46.67 ± 0.33
37.78
Carbendazim 46.67 ± 0.33
53.33 ± 0.33
66.67 ± 0.33
55.56
Captan 30.00 ± 0.58
36.67 ± 0.33
46.67 ± 0.33
37.78
Benomyl 50.00 ± 0.00
56.67 ± 0.33
76.67 ± 0.33
61.11
Meatalaxyl+Mancozeb 43.33 ± 0.33
50.00 ± 0.00
56.67 ± 0.33
50.00
Copper oxychloride 26.67 ± 0.33
33.33 ± 0.33
46.67 ± 0.33
35.56
Chlorothalonil 40.00 ± 0.00
46.67 ± 0.33
56.67 ± 0.33
47.78
LSD Value=2.26 aValues are the means of the five replicate samples bFigures following ± are standard errors
76
Table 4.15 Effect of fungicides on plant survival of mashbean against
charcoal rot (M. Phaseolina)
Plant survival at Fungicides
50ppm 100ppm 150ppm Average
Propineb 40.33 ± 0.00
50.00 ± 0.58 63.33 ± 0.33
51.22
Copper+Mancozeb
20.00 ± 0.00
33.33 ± 0.33
43.33 ± 0.33
32.22
Mancozeb
23.33 ± 0.33
36.67 ± 0.33
46.67 ± 0.33
35.56
Carbendazim 43.33 ± 0.33
53.33 ± 0.33
66.67 ± 0.33
54.44
Captan 26.67 ± 0.33
36.67 ± 0.33
46.67 ± 0.33
36.67
Benomyl 46.67 ± 0.33
56.67 ± 0.33
76.67 ± 0.33
60.00
Meatalaxyl+Mancozeb 36.67 ± 0.33
50.00 ± 0.00
56.67 ± 0.33
47.78
Copper oxychloride 20.00 ± 0.00
33.33 ± 0.33
46.67 ± 0.33
33.33
Chlorothalonil 33.33 ± 0.33
46.67 ± 0.33
56.67 ± 0.33
45.56
LSD Value= 2.52 aValues are the means of the five replicate samples bFigures following ± are standard errors
77
and rest of the genotypes were highly susceptible in greenhouse as against the
disease response under field conditions showed that out of 100 genotypes, 12
genotypes, 013664, 013663, 013662, 013655, 013654, 013652, 013651, 013643,
013482, 013468, 013454 and 013453 appeared as resistant with disease score ‘1’
were found highly resistant, whereas seventeen were resistant, twenty five tolerant,
16 genotypes were susceptible and 30 acted as highly susceptible lines as against
12, 17, 25, 16 and 30 genotypes respectively under field conditions as shown in
Table 4.13.
4.2.7.2 Mung germplasm screening
Mung genotypes also showed variations in their resistance/susceptibility to
charcoal rot disease under greenhouse and field conditions. Out of one hundred
accessions, fourteen (013987, 013992, 014026, 014033, 014062, 014098, 014218,
014219, 014245, 014253, 014255, 014256, 014257 and 014258) appeared to be
highly resistant, 18 resistant, 35 tolerant, 16 susceptible and rest of the genotypes
were highly susceptible.
Under field conditions, disease reaction was different from that appeared in
greenhouse. In field screening, 34 genotypes behaved as highly resistant, 30 as
resistant and 23 genotypes appeared tolerant. Eight genotypes were found
susceptible and only 5 were highly susceptible as shown in Table 4.14.
78
Table-4.16 Relative resistance/susceptibility of mashbean germplasm against charcoal rot
Disease Reaction Greenhouse Field
Highly resistant (HR)
013468,013477,013663,013667, 013668
013664,013663, 013662, 013655, 013654, 013652, 013651, 013643, 013482, 013468, 013454, 013453
Resistant (R)
013676,013680,013672,13669, 013662,013655,13652,013651, 013645, 013643, 013492
013672, 013668, 013667, 013660, 013658, 013657, 013656, 013653, 013648, 013630, 013507, 013506, 013493, 013487, 013477, 013469, 013462
Tolerant (T)
013453,013462,013482,013487, 013488,013493,013506,013507, 013570,013576,013592,013620, 013625,013626,013627,013628, 013629,013630,013648,013653, 013654,013656,013674,013675, 013677,013697,013699,013664, 013660, 013658
013492, 013503, 013505, 013511, 013568, 013615, 013616, 013618, 013625, 013626, 013628, 013629, 013634, 013640, 013645, 013669, 013671, 013673, 013674, 013675, 013676, 013677, 013680, 013696, 013699
Susceptible (S)
013454,013469,013470,013503, 013511,013563,013564,013568, 013590,013591,013600,013615, 013616,013619,013624,013640, 013657,013671,013673,013687, 013694, 013696, 013700
013703, 013700, 013697, 013687, 013686, 013684, 013670, 013627, 013622, 013620, 013600, 013570, 013562, 013550, 013488, 013470
Highly susceptible (HS)
013703,013705,013707,013710, 013711,013712,013713,013714, 013715,013716,013719,013695, 013693,013692,013690,013686, 013684,013670,013639,013636, 013634,013623,013622,013618, 013562,013561,013554,013553, 013551,013550, 013505
013705,013707,013710,013711, 013712,013713,013714,013715, 013716,013719,013690,013692 013693,013694,013695,013636, 013639,013619,013623,013624, 013551,013553,013554,013561, 013564,013563,013592,013591, 013590, 013576
79
Table-4.17 Relative resistance/susceptibility of mungbean germplasm against charcoal rot
Disease Reaction Greenhouse Field
Highly resistant (HR)
013987,013992,014026,014033,014062,014098,014218,014219,014245,014253,014255,014256,014257,014258
013987,013992,014026,014033,014062,014098,014149,014173,014184,014218,014219,014220,014222,014223,014239,014240,014241,014243,014245,014253,014255,014256,014257,014258,014259,014262,014263,014293,014294,014297,014307,014308,014309,014310
Resistant (R)
014149,014173,014184,014222,014233,014234,014235,014241,014243,014250,014293,014294,014297,014306,014307,014308,014314,014315
013953,013954,013956,013961,013962,014075,014089,014119,014121,014123,014125,014148,014213,014224,014233,014234,014235,014237,014247,014249,014250,014270,014277,014288,014290,014306,014312,014313,014314,014315
Tolerant (T)
013953,013954,013971,014044, 014063,014064,014073,014075,014119,014121,014123,014125, 014213,014220,014223,014232, 014237,014239,014240,014247,014249,014259,014262,014263,014270,014277,014287,014288, 014290,014292,014303,014304,014311,014312,014313
013955,013971,014035,014044,014063,014064,014073,014133,014221,014232,014251,014252,014274,014275,014276,014287,014292,014298,014301,014302,014303,014304,014311
Susceptible (S)
013955,013956,013961,013962,014035,014089,014148,014224,014251,014252,014275,014276,014301,014302,014309,014310,
014043,014225,014226,014278,014279, 014280,014281,014283,
Highly susceptible (HS)
014043,014133,014221,014225,014226,014227,014228,014274, 014278,014279,014280,014281,014283,014284,014285,014286,014298
014227,014228,014284,014285,014286
80
Chapter 5
DISCUSSION
Macrophomina phaseolina, a soil as well as seed-borne fungus, induces
charcoal rot in different crops including pulses i.e. mash and mung. In the present
studies, 65 isolates of M. phaseolina belonging to different regions of Punjab and
Khyber Pukhtoon Khwa (KPK) showed variations in different morphological traits
such as radial growth, sclerotial size and weight as well as in pathogenecity. The
isolates also varied in their pathogenicity. Morphological variability has also been
reported by many workers in terms of growth, colour, pycnidium production and
chlorate sensitivity among different isolates of M. phaseolina on different hosts
(Dhingra and Sinclair, 1973,1978; Pearson et al., 1986; Adam, 1986; Atiq et al.,
2001; Riaz et al., 2007) which corroborated our findings.similarly variations in
morphology and pathogenicity among M. phaseolina isolates taken from different
hosts as well as from different parts of the same host has also been observed by
Fernandaz et al. (2006). However, in the present studies, no relationship was found
among the morphological characters and pathogenicity of the isolates. Among the
highly virulent isolates of M. phaseolina viz, MP-7, MP-13, MP-18, MP-48, MP-56
and MP-64 against mung, not all the isolates were fast growing (radial growth > 80
mm) large sized (> 25 µm) or high weight (> 0.15 mg). Of these highly virulent
isolates, two (MP-7 and MP-48) were the fast, and the remaining 4 were medium
growing. Similarly, isolates MP-18 and MP-26 produced large sized, MP-7 and
MP-13 medium sized and MP-48 and MP-64 small sized sclerotia. Likewise, MP-7,
MP-13, MP18 and MP-64 were high and MP-48 was low weight. Similar pattern
81
was observed in moderately and least virulent isolates. Confirmatory and
contradictory findings in this regard have also been reported by others. A close
linkage between virulence and growth was reported by Rayner (1991). Purkayastha
et al. (2004) also found relationship between morphological variations and
pathogenicity. On the other hand, Dhingra and Sinclair (1978) and Fernandaz et al.
(2006) reported that pathogenicity has no relation with size and weight of sclerotia.
The pathogenic fungus, M. phaseolina, has a broad host range and exits in
two asexual forms which maintain its survival better (Dhingra and Sinclair, 1978;
Cloud and Rupe, 1991; Mihail and Taylor, 1992). Some workers also related
variability with the phenomena of host specialization in M. phaseolina. Su et al.
(2001) found host specialization in maize on the basis of pathogenic, genetic and
physiological differences. Similarly, Cloud and Rupe (1991) analyzed host
specialization in soyabean. This mechanism takes long time to establish with in a
specific host. Mihail and Taylor (1995) suggested that due to heterogenic nature of
M. phaseolina, categorization into distinct sub groups based upon pathogenicity and
morphology could not take place. Pathogenesis along with genetic diversity plays a
specific role in host plant resistance. Isolates having morphological similarity are
not necessarily identical genetically, they might have some differences. The
variable genetic pattern contributes for variation in morphology and pathogenesis,
which has been confirmed by using different molecular tools (Fuhlbohm, 1997;
Mayek-Parez et al., 2001; Alvaro et al., 2003; Jana et al., 2003; Rayes et al., 2006;
Rajkumar et al., 2007 and Allaghebandzadeh et al., 2008). As the pathogen has no
sexual phase, genetic diversity is produced either by fusion of vegetative cells or by
82
para-sexual recombination between nuclear genes (Carlile, 1996). Greatest genetic
variability makes survival of fungus better in nature (Rajkumar et al., 2007).
It is quite evident that variability in morphology, physiology, genetics,
pathogenicity etc. is imperative for the fungus to have better adaptation in response
to diversified environmental behavior. It also leads to host-plant resistance,
development of resistant varieties of different crops against disease and
implementation of new disease controlling strategies (Mayek-Parez et al., 2001;
Purkayastha et al., 2006).
Biological agents such as fungi, bacteria etc. are considered as an important
tool for controlling both seed and soil borne phytopathogenic fungi for their safety
to environment, animals and human beings and ipso facto can replace chemicals,
which produce drastic effects on targeted as well as non-targeted organisms
(Papavizas., 1985 and Benitez et al., 2004)
Seven antagonistic fungi tested in this dissertation significantly reduced the
growth of M. phaseolina and improved the survival and germination of mung and
mashbean plants. Trichoderma species have been considered effective against a
plethora of pathogens. Alice et al, (1996) found that T. harzianum and T. viridae
effective against M. phaseolina infecting Jasmine. Hasamedin (2008) observed the
inhibition of root rot pathogen of egg plant by T. harzianum by 18.20%. Similarly,
Etebarian (2006) found that different Trichoderma spp such as T. harzianum (M), T.
harzianum (T39) and T. virens (DAR 74290) completely retarded M. phaseolina
growth inciting charcoal stem rot in melon. In addition, efficacy of other bio-agents
i.e. T.virens, Pseudomonas flouresences and Bacillus spp against M. phaseolina is
83
also documented (Lokesha and Benagi, 2007; Bealriz et al., 2009). Many soil borne
pathogens including Rhizoctonia solani, Pythium ultimum, Fusarium moniliforme
and Sclerotium rolfsii have aloso been controlled by T. harzianum (Hadar et al.,
1979; Mukhopadhyay et al., 1986; Papavizas and Lewis, 1989; Methew and Gupta,
1998; Rajappan and Ramaraj, 1999). Antagonistic activity of biological agents
might be attributed to parasitism, production of lytic enzymes such as chitinases and
glucanases (Chet, 1987, Woo et al., 2002, Compant et al., 2005) which degraded
the β-glucans, chitin and polysaccharides, responsible for fungal cell wall rigidness
(Gupta et al., 1995, Howell, 2003) or by antibiotic production such as glioviridin
and gliotoxin (Di Pietro et al., 1993) or by competition or rhizosphere competence.
In dual culture technique, Trichoderma hyphae hyper-parasitized the pathogen and
coagulated its protoplasm leading to shrinkage, granulated and vacuolated
protoplasm of the pathogen (Weindling, 1932; Inbar et al., 1996; Pandy and
Upadhyay, 2000). Suppression of fungal growth by antagonists might be due to
overgrowth forming inhibition zone (Hashem, 2004).
Dressing of mung and mash seeds with three different concentrations of
antagonists in greenhouse decreased the incidence of charcoal rot caused by M.
phaseolina and enhanced germination. The improvement in germination might be
due to multiplication of antagonists on seed surface which prevented the fungal
entry into seeds by instantly colonizing the roots (Chao et al., 1986; Rajuchander et
al., 1998). The enhanced germination might also be due to triggering of host plant
cell by antagonists to synthesize growth hormones and toxic substances in large
quantities which inhibited pathogenic fungi (Chakrabarty and Purkayastha, 1984;
Sheng, 1993, Hendelsman and Eric, 1996). Similar results by Pineda (2001) in
84
sesame, Malik and Dawar (2003) in chickpea and mashbean also confirmed our
findings.
Dressing of cowpea seeds with different Trichoderma spp. gave maximum
plant stand (Adekunle et al., 2001). Dawar et al. (2008) found a decrease in root rot
infection and enhanced plant height and weight in T. harzianum coated seeds of
okra and sunflower. Hussain et al. (1990) found that seed treatment with T.
harzianum, G. virens, Paecilomyces lilacinus or Streptomyces spp. reduced
Macrophomina infection in sunflower and mungbean. Several fungi such as M.
Phaseolina, F. semitecum, F. moniliforme and F. solani infecting cowpea,
horsegram, black and green gram have also been effectively controlled by seed
treatment with conidial suspension of T. harzianum (Krishna et al., 2003).
Rettinasbabady et al. (2000) found that T.viridae treated blackgram seeds
decreased sclerotial formation of M. Phaseolina. Similarly, the same fungus
effectively controlled R. bataticola in vitro (Kaswate et al., 2003). Seed treatment
and soil application with T.virens reduced root rot incidence in pigeon pea (Lokesha
and Benagi, 2007). Seed treatment with both T. harzianum and T. viridae also
reduced root rot incidence and increased growth in mungbean plants (Ashraf et al.,
2006) and hence regarded as a suitable method for controlling seed and soil borne
fungi (Chang and Kommedahl, 1968).
Aqueous extracts of twenty test plants significantly inhibited growth of M.
phaseolina in vitro and improved seedling emergence when tested in pots.
Fungicidal activities of antagonistic plants against pathogenic fungi are well
documented. A. indica has shown efficacy against F. solani, C. lunata and R.
85
bataticola on brinjal and sunflower (Hussain et al., 2000; Joseph et al., 2008).
Ahmed et al. (2002) reported the efficacy of A. indica against Bipolaris oryzae
under in vitro conditions. Likewise, F. oxysporum was effectively controlled by A.
indica extract (Taiga et al., 2008). Similarly, Singh et al. (1980) reported the
fungicidal activity of A. indica oil and extract against soil-borne pathogens viz. R.
solani, F. oxysporum f.sp.ciceri, S. rolfsii and S. sclerotium. Dwivedi and Shukla
(2000) found that 100% aqueous extracts of A. indica completely inhibited the
germination of Fusarium spp. M. phaseolina and Phytrophthora palmivora was
controlled by A. indica extract (Tasleem et al., 1998). The reduction in fungal
growth might be due to the presence of antifungal compounds in plant extracts
including glycoside, steroid, saponin, medicagenic acid, 3-O-B-D glycopyranoside,
(3-GleMA) ajone, Tannins, Sesquiterpenes, lactones, terpenoids and phobol esters
(Johnson and Nunley, 2000; Tiwari and Singh, 2004). In C. Lopticum, the inhibitory
effect was probably due to the presence of active chemical component, thymol.
Effectiveness of C. lopticum against Aspergillus, Fusarium, Penicillium and
Curvularia spp. has been reported by Singh et al. (2004). Similarly A. indica
contains nimolicinal, isolimolicinalide, azadirachtin, azadirachtol, nimilinone,
nimbocinal, nimbocinone (Tewari, 1992) which can suppress pathogenic fungi.
Strong inhibitory action of L. inermis was reported by Yasmin et al. (2008). Taiga
et al. (2008) also reported the fungitoxicity of tobacco against many fungi.
Aqueous and ethanolic extract of Alchemia cardifolia, Cassia alata and
Moringa oleifera suppressed the growth of F. verticilliodes and M. phaseolina
(Enikuomehin and Oyedeji, 2010). Capparis decidua, Lantana kamara and Tridax
procumbexs were found effective against F. oxysporum (Sharma and Kumar, 2009).
86
Varaprasad et al. (2009) also suggested strong activity of Terminalia chebula
against M. phaseolina.
In Mungbean and mashbean, germination increased as a result of treatment
with plant extracts. The enhanced germination might be attributed the deposition of
chemical compounds around seed surface and prevented penetration of the
pathogen. These chemicals might have caused lyses of sclerotia and triggered plant
growth hormones which resulted in increased germination and decreased disease
incidence. Hasan et al. (2005) reported that seed treatment with A. indica gave
99.33% seed germination in wheat. Similarly, seed treatment with garlic extract
against Colletolachum corchori, M. phaseolina, Botrydioiploida theobromae,
Fusarium spp, Penicillium spp, A. niger and A. flavus resulted in upto 77.50 %
increase in germination of jute (Islam et al., 2001). Also, seed dressing with
caraway and peppermint before sowing controled the root rot disease (Mougy and
Al-habeb, 2009). It was concluded that natural products have strong fungicidal
activity and can be applied for the control of different soil-borne diseases.
Benomyl has successfully controlled many diseases of different crops as leaf
spot in sugar beet (Kalaoglanidis et al., 2003), rice blast (Kamelwass-rao, 1976),
scab and powdery mildew of apples, cucurbits and strawberries (Scot et al., 1979).
Marley and Genga (2004) found that benomyl reduced the mycelial growth of
Stenocarpella maydis in vitro. It also inhibited the growth of F. oxysporum (El-
Tobshy et al., 1981). Mamza et al (2010) reported that benomyl along with thiram
and tricyclazole suppressed growth of F. pallideroseum isolated from castor. Khan
and Khan (2006) found that both benomyl and carbendazim inhibited 100%
mycelial growth of M. phaseolina. Carbendazim also inhibited the growth and
87
sclerotial production of M. phaseolina (Suryawashi et al., 2008). Similarly, seed
dressing with fungicides enhanced seedling emergence and reduced mortality rate in
legumes (Muthomi et al., 2007).
A number of mechanisms are involved in the suppression and inhibition of
pathogens by fungicides. It was found from the present investigation that fungicides
significantly caused reduction in growth of M. phaseolina and enhanced
germination of mung and mash. Fungicides act by binding with b-tubulin polymers
of pathogens which play a key role in nuclear division and result in inhibition of
polymerizing activity of microtubules. These also cause hindernce in different
regulatory cellular activities including mitosis, meiosis and cell shape maintenance
etc. (Nene and Thapliyal, 1993). Similarly, Carbendazim inactivates tubulin
function of pathogen necessary for their maintenance and growth (Butlers et al.,
1995).
Charcoal rot is a devastating disease of mung and mashbean in Pakistan that
may cause up to 100% yield losses under epidemic condition. The host plant
resistance is the most feasible and economical measure to reduce yield losses due to
this disease. Identification of resistant sources is an important pre requisite for
initiation of breeding program aimed to develop resistant varieties.
Our study revealed a considerable variability among mung and mashbean
germplasm for resistance against this disease both under field and greenhouse
conditions. Large number of genotypes was found resistant in the field than
greenhouse. The high disease development in greenhouse was due to highly
88
conducive environment for the pathogen. Miklas et al (1998) also reported that
mash genotypes showed resistance at seedling stage under higher disease pressure.
The high disease incidence under greenhouse might also be due to the use of
sterilized soil, resulting into poor interaction between the pathogen and the soil
microbiota, further reducing the chances of disease escape. On the contrary, there
was sufficient microflora in the field which competed with the pathogen, and much
more variations in the field micro environment as compared to that of greenhouse.
Pastor-Corrales and Abawi (1988) and Songa et al. (1997) observed that under
greenhouse conditions the disease severity increased.
Pastor-Corrales and Abawi (1998) screened 53 accessions of bean against
M. phaseolina and found 22 accessions as resistant, 15 tolerant and the rest as
susceptible. Ashraf et al. (2005) reported that out of fifty six chickpea lines only
one genotype was resistant to charcoal rot and the remaining were susceptible. Iqbal
et al. (2002) also reported resistant sources in mashbean against charcoal rot.
The highly resistant genotypes which showed resistance to M. phaseolina
both under greenhouse and field conditions may have resistant genes which could
be exploited to develop disease resistant varieties against charcoal rot through
hybridization.
89
SUMMARY
Mung (Vigna radiata L.) and mash (Vigna mungo L.) belonging to
family fabaceae, sub family faboidae are important summer pulse crops of
Pakistan. They are important component of human diet and animal feed as straw
and hay. The average production of mung and mash is very low in Pakistan as
compared to other countries. There are many limiting factors which are responsible
for low yield. Among the biotic factors, diseases are very important, and charcoal
rot caused by Macrophonima phaseolina is by far the most important contributing
significantly to low yield. The information on the variability and management of
this fungus on mung and mash is lacking in Pakistan. Therefore, present studies
were planned to investgate the biology and management of this pathogen. Plant
samples were collected from the different localities of Punjab and KPK to
determine morphological and pathogenic variability among various isolates of M.
phaseolina. Investigations were also made for the management of the pathogen
with biocontrol fungi, plant extracts and fungicides. Local germplasm of the test
crops were also screened to identify the resistant sources.
Significant variations were found in morphology of various isolates of the
fungus. On the basis of morphological characters, out of 65 isolates, 16 were found
to be fast growing catrgorized on the basis of radial growth (>80 mm), 9 produced
large sized (>25 µm) and 35 isolates produced high weight (>0.15 mg) of sclerotia.
All the isolates showed significant variability in aggressiveness against mung and
mash varities. Twenty three isolates were found to be highly virulent while five
90
were least virulent and the remaining isolates showed intermediate virulence
towards mung and mashbean.
All the antagonistic fungi significantly retarded the growth of M.
phaseolina. Maximum inhibition was observed in case of Trichoderma harzianum
(79.63 %) while T. pseudokoningii showed the minimum (58.14 %) inhibition over
control. These antagonists also significantly increased plant survival of mung and
mash at higher concentrations as compared to others. Seeds treated with T.
harzianum @ 2 x 108 gave 86.67% and 80% increase in plant survival of mung and
mash respectively. Minimum increase in plant survival was obtained with T.
pseudokoningii.
Aqueous extracts of all the tested plants, significantly inhibited the growth
of M. phaseolina. Maximum inhibition was observed in case of Carum Lopticum
(83.52%) and Azadirachta indica (76.11%) while Nerium indicum gave the
minimum (27.41%) inhibition at 100% concentration over control. Survival of
mung and mash plants was found to be the maximum when seeds were treated with
C. lopticum and A. indica at 100 % concentration. On the other hand, Mentha
piperita and F. vulgare showed minimum increase in plant survival.
Similarly, all the fungicides inhibited the growth of M. phaseolina and
increased plant survival significantly. The maximum inhibition was observed with
Benomyl (83.89 %) and Carbendazim (79.11%) while Copperoxychloride gave the
minimum (34.22 %) inhibition at 150 ppm concentration over control. Plant
survival was found to be the maximum in mung and mash when seeds were treated
91
with Benomyl @ 3 gm a.i/Kg of seed and the minimum when seeds were treated
with Copperoxychloride @ 1 gm a.i/Kg of seed.
Germplasm accessions of mung and mash showed different levels of
resistance under field and greenhouse conditions. Out of one hundred mungbean
accessions, 14 genotypes were highly resistant under green house conditions, while
in the field 34 accessions were found highly resistant. In case of mashbean, 5
accessions in greenhouse and 12 under field conditions were found highly resistant
against charcoal rot.
Major Findings
• The isolates collected from different localities varied significantly on the
basis of morphological characters and pathogenecity.
• No relationship was found among the morphological characteristics (growth,
size and weight of sclerotia) with the pathogenecity.
• 23 isolates appeared to be highly virulent on mung and mash cultivars.
• T. harzianum was found to be the most effective antagonistic agent in
reducing the growth of fungus and increasing plant survival.
• C. lopticum and A. indica exhibited significant inhibitory effect against the
pathogen and increased plant survival.
• Benomyl and Carbendazim significantly inhibited growth of the pathogen
and enhaced plant survival.
• Five accessions of mash and 14 of mung were found highly resistant against
charcoal rot disease under greenhouse as against 12 and 34 under field
conditions.
92
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Appendices Appendices 1: Analysis of variance (ANOVA) for three morphological
traits in 65 isolates of Macrophomina phaseolina. Mean Squares Source of variation
Degrees of Freedom
Sclerotium weight (g)
Sclerotial size (µm)
Radial growth (mm)
Isolates 64 0.004** 25.299** 453.756** Error 130 0.001 7.168 38.626 CV % 16.45 12.21 8.90 ** Highly Significant at P >0.01
Appendices 2: Two factor analysis of variance (ANOVA) for the reaction of 65 isolates of Macrophomina phaseolina to 3 Mungbean cultivars
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Isolates 64 574.735 8.980 34.313 0.000 Varieties 2 27.244 13.622 52.049 0.000 Isolates x Varieties 128 569.644 4.450 17.005 0.000 Error 388 101.545 0.262
Coefficient of Variation: 9.22%
Appendices 3: Two factor analysis of variance (ANOVA) for the reaction of 65 isolates of Macrophomina phaseolina to 3 Mashbean cultivars
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Isolates 64 487.976 7.625 33.922 0.000 Varieties 2 35.518 17.759 79.010 0.000 Isolates x Varieties 128 368.926 2.882 12.823 0.000 Error 388 87.210 0.225
Coefficient of Variation: 7.06%
122
Appendices 4: Analysis of variance (ANOVA) for the reaction of 7 antagonists on the radial growth of Macrophomina phaseolina
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Antagonists 6 897.905 149.651 21.525 0.000 Error 14 97.333 6.952
Coefficient of Variation: 9.48% Appendices 5: Analysis of variance (ANOVA) for the reaction of 7
antagonists with 3 concentrations on the plant survival of mashbean
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Antagonists 6 6955.556 1159.259 20.287 0.000 Error 14 800.000 57.143 Concentrations 2 2593.651 1296.825 45.389 0.000 Antagonists x Concentrations
12 206.349 17.196 0.602 0.000
Error 28 800.000 28.571 Coefficient of Variation: 9.62% Appendices 6: Analysis of variance (ANOVA) for the reaction of 7
antagonists with 3 concentrations on the plant survival of mungbean
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Antagonists 6 9130.159 1521.693 18.088 0.000 Error 14 1177.778 84.127 Concentrations 2 2146.032 1073.016 84.500 0.000 Antagonists x Concentrations
12 231.746 19.312 1.521 0.000
Error 28 355.556 12.698 Coefficient of Variation: 6.22%
123
Appendices 7: Two factor analysis of variance (ANOVA) for the reaction of 20 plant extracts with 4 concentrations on the Radial Growth of Macrophomina Phaseolina
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Extracts 19 36995.608 1947.137 165.802 0.000 Error 40 469.750 11.744 Concentrations 3 15023.025 5007.675 1362.890 0.000 Extracts x Concentrations
57 1299.933 22.806 6.207 0.000
Error 120 440.917 3.674 Coefficient of Variation: 3.30% Appendices 8: Two factor analysis of variance (ANOVA) for the
reaction of 20 plant extracts with 4 concentrations on the plant survival of Mashbean
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Extracts 19 16687.917 878.311 12.932 0.000 Error 40 2716.667 67.917 Concentrations 3 18861.250 6287.083 158.831 0.000 Extracts x Concentrations
57 1663.750 29.189 0.737 0.000
Error 120 4753.0 39.583 Coefficient of Variation: 15.84% Appendices 9: Two factor analysis of variance (ANOVA) for the
reaction of 20 plant extracts with 4 concentrations on the plant survival of Mungbean
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Extracts 19 22521.250 1185.329 23.318 0.000 Error 40 2033.333 50.833 Concentrations 3 20084.583 6694.861 195.947 0.000 Extracts x Concentrations
57 2840.417 49.832 1.458 0.0432
Error 120 4100.0 34.167 Coefficient of Variation: 15.84%
124
Appendices 10: Two factor analysis of variance (ANOVA) for the reaction of 9 fungicides with 3 concentrations on the radial growth of Macrophomina phaseolina
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Fungicides 8 20484.432 2560.554 380.036 0.000 Error 18 121.278 6.738 Concentrations 2 6521.451 3260.725 594.695 0.000 Fungicides x Concentrations
16 1184.994 71.812 13.097 0.000
Error 36 197.389 5.483 Coefficient of Variation: 4.76% Appendices 11: Two factor analysis of variance (ANOVA) for the
reaction of 9 fungicides with 3 concentrations on the plant survival of Mungbean
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Fungicides 8 6795.062 849.383 13.760 0.000 Error 18 1111.111 61.728 Concentrations 2 4750.617 2375.309 124.124 0.000 Fungicides x Concentrations
16 227.160 14.198 0.742 0.000
Error 36 688.889 19.136 Coefficient of Variation: 9.55% Appendices 12: Two factor analysis of variance (ANOVA) for the
reaction of 9 fungicides with 3 concentrations on the plant survival of Mashbean
Source of Variation
Degrees of Freedom
Sum of Squares
Mean Squares
F-Value Probability
Fungicides 8 7911.111 988.889 27.620 0.000 Error 18 644.444 35.802 Concentrations 2 4140.741 2070.370 83.850 0.000 Fungicides x Concentrations
16 103.704 6.481 0.262 0.000
Error 36 888.889 24.691 Coefficient of Variation: 12.31%