ppt

1. Genetic diversity analysis in Mungbean
(Vigna radiata L. Wilczek)
Sowjanya H. S1., Swapnil Shahakar2, Shamprasad P3., Anitha Peter4 and
Savitramma, D.L.5
1. M. Sc. Student, 2. & 3. Ph.D Scholar & 4. Professor, Department of Plant Biotechnology,
5. Professor, Department of Genetics and Plant Breeding, College of Agriculture, UAS,
GKVK Bengaluru - 560065

2. Introduction
Mungbean [Vigna radiata (L.) Wilczek] is a major leguminous crop in
India and Southeast Asia.
It is widely cultivated as a sole crop or as a component in various
cropping system because of its short duration and relative tolerance
to drought.
Several receipes are made from mungbean seeds which are rich in
proteins, amino acids and minerals. Other properties like easy
digestibility and low proportions of flatulence factors also add to its
value.

3. Despite its economic importance in the developing nations, the production
and productivity of mungbean is still marginal.
Morphological traits can be used to assess phenotypic variation and as
tools for the indirect analysis of genetic variability.
Concerning measurement of genetic diversity and assessment of the
taxonomic relationships among the closely related species, utilization of
robust morphological markers offers specific advantage.
With the above facts under consideration, the present study was conducted
to assess the diversity among mungbean genotypes based on yield and
other traits for their future deployment in hybridization program.
Need of diversity analysis

4. Materials and methods
Evaluation of 25 green gram genotypes
on the basis of quantitative traits were
performed at UAS, GKVK, Bengaluru.
Experiment was conducted in simple
lattice square design with two
replications and with all recommended
agronomical practices.
Five randomly tagged plants were taken
to record morphological data.
Diversity Analysis : - The mean values
were subjected for the analysis of genetic
divergence by Mahalanobis D square
Traits selected for evaluation.
1. Plant height
2. Primary branches per plant
3. Number of clusters per plant
4. Days to 50% flowering
5. Days to maturity
6. Number of pods per plant
7. Pod length(cm)
8. Pod yield per plant
9. Number of seeds per pod
10. Seed yield per pod(g)
11. Seed yield per plant(g)
12. Test weight(100 seeds (g))
13. Shelling percentage
Green gram genotypes: PLM-287-A PLM-843 TAP-1 PLM-220 PLM-148 PLM-236
IC-2056-1 IC-1396 PLM-153-A EC-396518 PLM-929 IC-39524 KKM- 3 Pusabaisaki
EC-251769 GG-12 PLM-43 IC-39293 PLM-165 IC-618-5 PLM-143 PLM-6 IC-39456
IC-1438-1 C-9391.

5. Clustering pattern of 25 green gram genotypes
Total 25 genotypes were classified into 16 clusters by Tocher’s method. Cluster 1
has the highest number of genotypes (9) followed by cluster 13 (2 genotypes) all the
others grouped as single genotypes per cluster.
Result
Green gram genotypes: 1)PLM-287-A
2)PLM-843 3)TAP-1 4)PLM-220
5)PLM-148 6)PLM-236 7) IC-2056-1
8)IC-1396 9)PLM-153-A 10)EC-
396518 11)PLM-929 12)IC-39524
13)KKM- 3 14)Pusabaisaki 15)EC-
251769 16)GG-12 17)PLM-43 18)IC-
39293 19)PLM-165 20)IC-618-5
21)PLM-143 22)PLM-6 23)IC-39456
24)IC-1438-1 25)C-9391.

6. Percent contribution of characters to genetic
divergence
The maximum contribution to the total divergence was given by test weight of 100
seeds (25%) followed by days to 50% flowering (15.33%) least was by days to
maturity, pod length and number of seed per pod (1%).

7. Group
1
Group
2
Group
3
Group
4
Group
5
Group
6
Group
7
Group
8
Group
9
Group
10
Group
11
Group
12
Group
13
Grou
p 14
Group
15
Group
16
Group.1 3.53 3.79 4.60 4.29 4.20 4.39 4.02 4.04 4.57 4.54 4.52 4.08 4.51 4.63 4.89 5.76
Group.2 0.00 2.47 4.44 2.88 5.01 4.03 4.64 6.07 3.99 5.80 5.35 4.78 5.32 3.68 5.58
Group.3 0.00 5.79 2.50 5.80 4.10 4.89 7.09 4.31 6.55 6.42 4.92 4.49 3.21 6.35
Group.4 0.00 5.95 5.44 5.89 6.43 5.65 6.36 6.04 5.06 5.67 6.28 6.80 4.65
Group.5 0.00 5.30 3.61 4.08 6.51 2.82 5.84 5.23 4.43 3.84 3.42 6.08
Group.6 0.00 4.27 3.45 3.65 5.24 5.80 3.13 6.83 5.18 5.53 8.42
Group.7 0.00 2.64 4.98 4.47 5.34 5.20 4.87 3.86 4.04 6.72
Group.8 0.00 4.44 4.10 5.49 4.23 5.06 4.34 4.53 7.66
Group.9 0.00 6.61 4.29 3.69 7.07 5.93 6.75 8.18
Group. 10 0.00 6.31 4.97 4.59 4.37 4.35 6.99
Group. 11 0.00 4.48 5.66 5.56 5.66 6.88
Group. 12 0.00 6.03 5.22 5.95 7.45
Group. 13 3.03 5.27 5.39 4.45
Group. 14 0.00 4.24 7.32
Group. 15 0.00 7.69
Group. 16 0.00
Average inter- and intra-cluster distance for
mungbean genotypes

8. Pl. ht
Pri.brnc
h/plnt
Clustr/
plnt
50%
flowr
dys
Dys
maturit
y
Pods/
plnts
Pod
lenght
Pod
yield/pl
t
No. of
seed/po
d
Seed
yield/p
od
Seed
yield/pl
t
Test
wt.
Shellng
%
Group.
1 56.07 2.18 4.26 38.00 42.22 18.47 7.09 6.80 11.89 0.42 4.38 3.13 70.98
Group.
2 53.60 2.10 3.10 35.50 38.00 14.40 7.03 6.34 11.70 0.44 3.78 3.42 63.60
Group.
3 54.10 2.00 3.30 35.00 38.00 15.00 6.56 5.92 11.80 0.41 3.29 3.42 68.32
Group.
4 64.70 2.30 4.60 37.00 39.00 15.90 7.21 6.51 11.50 0.43 4.15 3.07 67.85
Group.
5 47.60 2.00 3.20 36.50 41.50 12.80 6.61 6.89 11.20 0.36 3.76 3.34 62.78
Group.
6 49.60 1.90 4.40 34.50 39.00 16.50 7.27 6.15 12.00 0.41 4.07 2.91 68.98
Group.
7 48.80 1.40 3.80 38.00 43.50 16.20 7.01 7.97 13.10 0.42 4.98 3.20 62.45
Group.
8 45.50 1.90 4.10 38.00 44.50 17.80 6.97 7.12 13.10 0.43 4.77 3.20 72.91
Group.
9 50.60 1.60 4.20 40.00 45.00 17.00 7.18 6.49 12.00 0.40 5.17 2.86 79.00
Group.
10 43.80 2.40 4.50 38.50 41.50 18.80 6.71 6.73 10.90 0.36 3.64 3.29 61.63
Group.
11 62.90 2.10 4.20 39.00 44.50 23.20 7.68 7.38 11.60 0.40 5.24 3.06 73.06
Group.
12 54.20 2.20 4.50 37.00 42.50 15.70 7.18 5.14 11.70 0.37 4.32 3.04 75.14
Group.
13 57.25 2.60 4.80 40.00 45.50 22.80 6.68 8.59 12.10 0.43 5.65 3.33 68.55
Group.
14 53.40 1.90 5.10 38.00 42.50 17.20 6.85 6.85 11.50 0.34 3.57 3.42 71.27
Group.
15 53.70 2.00 3.90 34.50 38.00 17.20 7.10 6.63 11.60 0.46 4.44 4.03 66.00
Group.
16 62.30 2.50 3.80 40.00 45.00 16.10 6.86 10.15 11.40 0.41 5.97 3.17 60.10
Cluster mean values for different characters in mungbean

9. Genotypes having maximum intercluster distances are genetically more
divergent and hybridization between these genotypes may provide wide
spectrum of gene recombination of quantitative characters and can be
used as divergent parent in crop improvement program.
Conclusion