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COLLEGE OF AGRICULTURE, RAIPUR
INDIRA GANDHI KRISHI VISHWAVIDIYALA, RAIPUR, (C.G.).
GUIDED BY
Dr. S.K. Nag
SPEAKER
Ankit Tigga
M.Sc. (Ag) Final Year
Genetic Variability and Diversity Analysis for Yield and Its Contributing
Characters in Soybean [Glycine max (L.) Merrill]
DEPARTMENT OF GENETICS AND PLANT BREEDING
(Scientist /Assistant Professor) 21 SEPTEMBER 2021
INTRODUCTION
Crop
Soybean (Glycine max L. Merrill)
Chromosome no. – 2n-40
Family – Leguminaceae
Self-pollinated crop
Plant type – C3 and short day plant
INDIA
Area – 11.72 M ha
Production – 135.83 lakh
tonnes
Productivity – 1192 kg/ha
Source – Ministry of
Agriculture and Farmers
Welfare, Yearly report 2020-
21
CHHATTISGARH
Area – 0.776 M ha
Production – 8.84 lakh
tonnes
Productivity – 1145 kg/ha
Source – SOPA data bank
2019-20
 The crop is considered as an important oilseed in the globe due to its high Oil content 16-21%
and protein content 36-42%.
 Nutritional and health's benefits. Good source of protein, unsaturated fatty acids and minerals,
like calcium and phosphorus including vitamins A, B, C and D.
 Brazil is the world largest producer of soybean in 2020, followed by the USA, Argentina,
China and India. Source -USDA (Untied state department of agriculture).
 India is the world's 5th largest producer of soybean.
ADVISORY COMMITTEE
Dr. S.K. Nag
(Major Advisor and Chairman)
Dr. Rajeev Shrivastava
(Member of department)
Dr. V.B. Kuruwanshi
(Member of other department)
Dr. Ravi R Saxena
(Member from supporting department)
Dr. R.K. Yadav
(Additional member)
OBJECTIVES
1. To study the genetic variability, heritability and genetics advance
for yield and its contributing characters.
2. To study genetic divergence through D2 statistics technique for
grain yield and its components in soybean.
3. To determine the direct and indirect effects of various yield
attributing characters on yield through correlation and path
coefficient analysis.
TECHNICAL PROGRAM OF WORK
(Material, location and season for the work done)
Experimental material : 41 genotypes with 4
checks total 45 genotypes.
The experiment was carried out in
Randomized Block Design with three
replications under the All India Co-ordinated
Research Project on Soybean during Kharif
2020 at the Research Cum Instructional Farm
under Department of Genetics and Plant
Breeding, College of Agriculture, IGKV,
Raipur, C.G.
OBSERVATIONS RECORDED
S. No. Characters S. No. Characters
1 Days to 50% flowering 7 Number of pods per plant
2 Days to maturity 8 Number of seeds per plant
3 Plant height (cm) 9 100 seed weight (g)
4. Pod bearing length (cm) 10 Protein content (%)
5 Number of pod bearing nodes per plant 11 Oil content (%)
6. Number of primary branches per plant 12 Seed yield per plant (gm)
Source of
variation
DF DTF DTM PH PBL NOPBN NOPBPP NOPPP NOSPP SW PC OC SYPP
Replication 2 3.4700 0.496 0.5700 0.615 0.347 0.051 9.062 74.274 0.010 1.058 0.021 0.694
Treatment 44 48.49** 22.09** 50.65** 59.75** 1.91** 0.93** 177.62** 901.19** 5.98** 6.01** 2.51** 11.70**
Error 88 3.489 3.027 0.263 0.275 0.247 0.055 3.881 26.827 0.044 0.510 0.156 0.454
DF stands for degree of freedom
* = Significant at a 5% probability level ** = Significant at a 1% probability level
{ DTF = days to 50% flowering; DTM = Days to maturity; PH = Plant height (cm); PBL = Pod bearing length (cm); NOPBN = No.
of pod bearing nodes per plant; NOPBPP = No. of primary branches per plant; NOPPP = No. of pods per plant; NOSPP = No. of
seed per plant; SW = 100 seed weight (g); PC = Protein content (%); OC = Oil content (%), SYPP = Seed yield per plant (gm) }
ANALYSIS OF VARIANCE
Results of Objective 1
Character Mean Range GCV
(%)
PCV
(%)
h2 (bs) Genetic
Advance
GA as % of
mean
Min. Max.
Days to 50%
flowering
37.37 31.33 44.33 10.36 11.50 81.12 7.18 19.22
Days to maturity 96.51 91 102.33 2.61 3.17 67.74 4.27 4.42
Plant height (cm)
49.79 40.75 57.71 8.23 8.29 98.45 8.37 16.82
Pod bearing length
(cm)
39.99 30.27 49.45 11.13 11.21 98.63 9.11 22.77
No. of pod bearing
nodes per plant
10.26 8.97 11.76 7.25 8.72 69.15 1.27 12.43
No. of primary
branches per plant 3.11 2.14 4.43 17.37 18.94 84.06 1.02 32.81
No. of pods per
plant
37.74 12.33 44.66 20.15 20.82 93.71 15.17 40.20
No. of seeds per
plant
85.19 37.33 112.66 20.03 20.94 91.57 33.65 39.50
100-seed weight (g)
10.68 8.63 14.22 13.17 13.31 97.81 2.86 26.83
Protein content
(%)
38.28 34.76 40.25 3.53 3.99 78.25 2.46 6.44
Oil content (%) 19.57 18.53 22.48 4.52 4.95 83.44 1.66 8.51
Seed yield per
plant- (g)
9.32 3.47 12.82 20.77 22.00 89.20 3.76 40.42
GENETIC PARAMETERS OF VARIATION
High
Medium
Low
0 5 10 15 20 25
Days to 50% flowering
Days to maturity
Plant height (cm)
Pod bearing length (cm)
No. of pod bearing nodes
No. of primary branches per plant
No. of pods per plant
No. of seeds per plant
100-seed weight (g)
Protein content (%)
Oil content (%)
Seed yield per plant (g)
10.36
2.61
8.23
11.13
7.25
17.37
20.15
20.03
13.17
3.53
4.52
20.77
11.5
3.17
8.29
11.21
8.72
18.94
20.82
20.941
13.31
3.99
4.95
21.99
PCV % GCV %
GRAPHICAL REPRESENTATION OF GCV AND PCV FOR VARIOUS ASSOCIATED TRAITS OF SEED
YIELD
GRAPHICAL REPRESENTATION OF HERITABILITY, GENETIC ADVANCE AND
GENETIC ADVANCE AS A % OF MEAN
0
5
10
15
20
25
30
35
40
45
Days to
50%
flowering
Days to
maturity
Plant height
(cm)
Pod bearing
length (cm)
No. of pod
bearing
nodes
No. of
primary
branches
per plant
No. of pods
per plant
No. of seeds
per plant
100-seed
weight (g)
Protein
content (%)
Oil content
(%)
Seed yield
per plant
(g)
0
20
40
60
80
100
120
h2 (bs) Genetic Advance GA as % of mean
Number
of cluster
The
genotype
number
included
Name of genotypes
I 21
DS 3105, CAUMS 2, RSC 11-39, AS-15, PS 1664, JS 22-14, DS 3144, DLSb-1, JS 20-
116, RVS 2012-10, RVS 2011-10, ASb 36, MACS 1701, KDS 1096, KDS 1144, BAUS
96-17, TS 20-5, SL 1212, SL 1250, RSC 11-17, RSC 11-36
II 8
HIMSO 1691, VLS 101, PS 1661, Himso- 1692, ASb 9, AUKS 207, MACS 1460, RSC
11-15
III 6 DSb-38, DLSb-2, RSC 10-46, NRC 109, MACS 1691, RSC 11-22
IV 3 JS 22-11, PS 1670, MAUS 806
V 2 MAUS 768, BAUS 31-17
VI 3 RVSM 2012-11, NRC 128, RSC 11-35
VII 1 DS 1312
VIII 1 AUKS 206
SOYBEAN GENOTYPES IN VARIOUS CLUSTERS
ANALYSIS OF GENETIC DIVERGENCE
Results of Objective 2
S.No. Characters
No. of times appearing
first in ranking
Contribution towards divergence (%)
1 Days to 50% flowering 7 0.71
2 Days to maturity 4 0.40
3 Plant height (cm) 223 22.53
4 Pod bearing length (cm) 307 31.01
5 Number of pod bearing nodes per plant 1 0.10
6 Number of primary branches per plant- 16 1.62
7 Number of pods per plant 63 6.36
8 Number of seeds per plant 46 4.65
9 100-seed weight (g) 289 29.19
10 Protein content (%) 4 0.40
11 Oil content (%) 18 1.82
12 Seed yield per plant (g) 12 1.21
Total 990 100
CONTRIBUTION OF VARIOUS TRAITS TO DIVERGENCE AMONG 45 SOYBEAN GENOTYPES
Days to 50% flowering
0.70%
Days to maturity
0.40%
Plant height (cm)
22.53%
Pod bearing length (cm)
31%
Number of pod bearing nodes per
plant
0.10%
Number of primary branches per
plant-
1.62%
Number of pods per plant
6.36%
Number of seeds per plant
4.65%
100-seed weight (g)
29.19%
Protein content (%)
0.40%
Oil content (%)
1.82%
Seed yield per
plant (g)
1.21%
Figure - Relative contribution of different characters towards genetic divergence in percentage
Cluster I II III IV V VI VII VIII
I
199.66
(14.13)
610.53
(24.71)
413.96
(20.35)
1060.47
(32.56)
444.49
(21.08)
859.09
(29.31)
602.69
(24.55)
517.61
(22.75)
II
202.97
(14.25)
425.69
(20.63)
433.54
(20.82)
1262.73
(35.53)
602.59
(24.55)
379.03
(19.47)
1294.73
(35.98)
III
193.59
(13.91)
412.62
(20.31)
1143.80
(33.82)
544.46
(23.33)
832.67
(28.86)
914.78
(30.25)
IV
161.65
(12.71)
2240.25
(47.33)
699.46
(26.45)
1135.07
(33.69)
1935.68
(44.00)
V
263.60
(16.24)
1524.69
(39.05)
803.41
(28.34)
450.03
(21.21)
VI
299.88
(17.32)
1020.59
(31.95)
920.43
(30.34)
VII
0.00
(0.00)
1245.83
(35.30)
VIII
0.00
(0.00)
SOYBEAN GENOTYPES INTER AND INTRA-CLUSTER DISTANCE
INTRA CLUSTER
DISTANCE
INTER CLUSTER
DISTANCE
* Figure given in diagonals bold is intra-cluster D2 values and figure in parenthesis is 𝐷2 values
MAXIMUM
MINIMUM
DIFFERENT INTER AND INTRA CLUSTER DISTANCES ARE REPRESENTED
DIAGRAMMATICALLY
Characters
Cluster
Entries
DTF DTM PH PBL
NOPBNP
P
NOPBPP NOPPP NOSPP SW PC OC SYPP
I 21 37.17 96.84 51.94 42.60 10.24 3.09 40.57 90.90 10.07 38.21 19.49 9.87
II
8 38.33 94.58 47.48 37.56 10.36 3.03 38.73 87.79 12.70 38.65 19.61 10.29
III 6 36.89 98.33 47.08 36.43 10.65 3.37 38.41 88.89 9.68 37.59 19.72 8.94
IV 3 37.11 95.44 42.33 31.80 9.91 3.27 41.32 95.22 10.96 39.43 19.98 10.15
V 2 39.00 96.67 57.57 48.30 10.47 3.27 38.50 77.50 10.81 36.83 19.97 9.14
VI 3 37.11 95.11 45.75 35.93 10.11 2.82 17.00 39.67 10.55 39.32 19.35 3.81
VII 1 31.67 99.00 52.25 42.99 9.55 2.55 40.78 81.00 14.20 36.46 19.27 10.34
VIII 1 40.67 99.00 56.20 43.18 9.26 3.29 13.67 48.33 9.13 39.35 19.11 5.69
CLUSTER MEAN OF SOYBEAN GENOTYPES
MIN
MAX
DTF = Days to 50% flowering NOPPP = Number of pods per plant
DTM = Days to maturity NOSPP = Number of seeds per plant
PH = Plant height (cm) SW = 100 seed weight (g)
PBL = Pod bearing length (cm) PC = Protein content (%)
NOPBNPP = Number of pod bearing nodes per plant OC = Oil content (%)
NOPBPP = Number of primary branches per plant SYPP = Seed yield per plant (g)
S.No. Characters
Genotypes
I II
1 Days to 50% flowering DS 1312 NRC 109
2 Days to maturity HIMSO 1691 VLS 101
3 Plant height (cm) JS 22-11 PS 1670
4 Pod bearing length (cm) PS 1670 BAUS 31-17
5 No. of pod bearing nodes per plant DSb-38 NRC 109
6 No. of primary branches per plant- DLSb-2 RSC 10-46
7 No. of pods per plant JS 22-11 PS 1670
8 No. of seeds per plant MAUS 806 JS 22-11
9 100-seed weight (g) DS 1312 PS 1661
10 Protein content (%) JS 22-11 PS 1670
11 Oil content (%) MAUS 806 JS 22-11
12 Seed yield per plant (g) DS 1312 PS 1661
DESIRABLE GENOTYPES FOR DIFFERENT TRAITS IN SOYBEAN
Characters DTF DTM PH PBL NOPBN NOPBPP NOPPP NOSPP SW PC OC SYPP
DTF
G
P
1.000
1.000
DTM
G
P
0.257**
0.283**
1.000
1.000
PH
G
P
0.057
0.052
0.213*
0.172*
1.000
1.000
PBL
G
P
0.121
0.105
0.277**
0.230**
0.862**
0.850**
1.000
1.000
NOPBN
G
P
0.086
0.061
0.040
0.025
-0.045
-0.044
-0.120
-0.104
1.000
1.000
NOPBPP
G
P
0.139
0.102
0.227**
0.153
-0.070
-0.065
0.005
0.004
-0.010
-0.017
1.000
1.000
NOPPP
G
P
0.052
0.067
0.158
0.119
0.138
0.133
0.145
0.140
0.231**
0.177*
0.151
0.156
1.000
1.000
NOSPP
G
P
0.075
0.046
0.285**
0.225**
0.113
0.098
0.095
0.099
0.135
0.121
0.252**
0.204*
0.807**
0.743**
1.000
1.000
SW
G
P
-0.049
-0.033
-0.242**
-0.189*
-0.179*
-0.170*
-0.128
-0.126
-0.115
-0.098
-0.179*
-0.160
0.081
0.82
-0.039
-0.042
1.000
1.000
PC
G
P
0.138
0.128
-0.241**
-0.141
-0.264**
-0.232**
-0.249**
-0.217*
-0.104
-0.095
0.132
0.114
-0.157
-0.123
-0.106
-0.101
0.130
0.120
1.000
1.000
OC
G
P
0.150
0.158
-0.017
0.011
-0.043
-0.039
-0.008
-0.007
0.020
-0.024
0.087
0.066
0.119
0.130
0.214*
0.186*
0.032
0.039
-0.316**
-0.243**
1.000
1.000
SYPP
G
P
0.103
0.082
0.282**
0.191*
0.199*
0.183*
0.180*
0.180*
0.126
0.081
0.178*
0.152
0.882**
0.806**
0.883**
0.829**
0.140
0.129
-0.100
-106
0.144
0.143
1.000
1.000
** Significant at 1% probability level *Significant at 5% probability level
{DTF = days to 50% flowering; DTM = Days to maturity; PH = Plant height (cm); PBL = Pod bearing length (cm); NOPBN = No. of pod bearing nodes/ plant; NOPBPP = No. of primary branches
per plant; NOPPP = No. of pods per plant; NOSPP = No. of seed per plant; SW = 100 seed weight(g); PC = Protein content (%); OC = Oil content (%), SYPP = Seed yield per plant (g)}
ANALYSIS OF CORRELATION COEFFICIENT
Genotypic and phenotypic correlation coefficient for seed yield and its contributing traits in Soybean
Results of Objective 3
Character Days to
50%
flowering
Days to
maturity
Plant
height
(cm)
Pod bearing
length (cm)
No. of pod
bearing
nodes/plant
No. of primary
branches per
plant-
No. of pods
per plant
No. of seeds
per plant
100-seed
weight (g)
Protein
content
(%)
Oil
content
(%)
Seed yield
per plant
(g)
Days to 50% flowering 0.020 0.027 0.009 -0.009 -0.003 -0.001 0.025 0.035 -0.007 0.007 0.001 0.103
Days to maturity 0.005 0.106 0.034 -0.021 -0.001 -0.002 0.075 0.135 -0.037 -0.012 -0.000 0.282**
Plant height (cm) 0.001 0.023 0.159 -0.065 0.002 0.001 0.066 0.054 -0.027 -0.013 -0.000 0.199*
Pod bearing length (cm) 0.002 0.029 0.137 -0.075 0.004 -0.000 0.069 0.045 -0.020 -0.012 -0.000 0.180*
No. of pod bearing nodes/ plant 0.002 0.004 -0.007 0.009 -0.033 0.000 0.110 0.064 -0.018 -0.005 0.000 0.126
No. of primary branches per
plant-
0.003 0.024 -0.011 -0.000 0.000 -0.008 0.072 0.119 -0.027 0.006 0.000 0.178*
No. of pods
per plant
0.001 0.017 0.022 -0.011 -0.008 -0.001 0.475 0.382 0.012 -0.008 0.000 0.882**
No. of seeds per plant 0.002 0.030 0.018 -0.007 -0.005 -0.002 0.383 0.474 -0.006 -0.005 0.001 0.883**
100-seed weight (g) -0.001 -0.026 -0.028 0.010 0.004 0.001 0.039 -0.018 0.153 0.006 0.000 0.14
Protein content (%) 0.003 -0.025 -0.042 0.019 0.004 -0.001 -0.075 -0.050 0.020 0.049 -0.001 -0.1
Oil content (%) 0.003 -0.002 -0.007 0.001 -0.001 -0.001 0.057 0.101 0.005 -0.016 0.003 0.144
ANALYSIS OF PATH COEFFICIENT
The genotypic path coefficient (direct and indirect effects) of different traits influencing seed yield per plant
Residual effect -
0.10086
Positive direct
effect with
Significant
correlation
on Seed yield
Positive
indirect effect
with significant
correlation on
seed yield
Conclusion
• The present genetic variability gives an opportunity to select higher-level genotypes that can be
obtained by evaluating them.
• The high percentage of GCV and PCV was recorded for seed yield per plant, number of pods per plant
and number of seeds per plant. The existence of a large genotypic coefficient of variation suggesting
that the population has a lot of variability and provides opportunities for genetic enhancement through
trait selection.
• The number of pods per plant, number of seeds per plant, number of primary branches per plant and
100-seed weight were observed high heritability with high genetic advance as percent of mean.
Suggesting that these traits are governed by additive gene effects, which is fixable, In such situation
direct selection for seed yield may be effective.
• High heritability coupled with low genetic advance was found for protein content and oil content. It
suggests that non-additive gene action. The high heritability shown by the positive environmental
influence rather than the genotype and selection of such traits is not effective for yield.
• Two components, that is, days to maturity and number of pod bearing nodes per plant, show medium
heritability, it reveals that environmental effects are heavily influenced on these two traits and genetic
improvement through selection is challenging because of its high environmental effects.
Cont.
• The traits like, days to maturity, plant height, pod-bearing length, number of pods per plant, number of
seed per plant, and number of primary branches per plant all had positive and significant correlations
with seed yield per plant. selection for improvement of such character may be rewarding.
• Protein content was revealed to have a negative relationship with oil content.
• The number of pods per plant and number of seed per plant had the greatest positive direct effect and
correlation on seed yield per plant. it reveals true relationship between them and direct selection for
these traits will be rewarding for yield improvement.
• Path coefficient analysis results revealed that number of pod bearing nodes and number of primary
branches per plant had negatively direct effects on yield, the selection based on these features might
lead to the loss of soybean yield. The characters number of pods per plant and number of seeds per
plant exhibited positive direct effects and significant correlation with seed yield, so these characters
concluded that the main yield contributing components in soybean.
• 45 genotypes were grouped into eight cluster. Cluster-I had the greatest intra-cluster distance,
followed by other clusters. It should be given emphasis, while selection of parents for hybridization
programme since most of the elite breeding cultivars were included this cluster.
• The genotypes with high number of pods per plant, number of seeds per plant and pod bearing length
may be utilized to improve the seed yield of soybean genotype through hybridization and selection.
Genetic variability and diversity analysis for yield and its contributing characters in soybean [Glycine max (L.) Merrill]

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Genetic variability and diversity analysis for yield and its contributing characters in soybean [Glycine max (L.) Merrill]

  • 1. COLLEGE OF AGRICULTURE, RAIPUR INDIRA GANDHI KRISHI VISHWAVIDIYALA, RAIPUR, (C.G.). GUIDED BY Dr. S.K. Nag SPEAKER Ankit Tigga M.Sc. (Ag) Final Year Genetic Variability and Diversity Analysis for Yield and Its Contributing Characters in Soybean [Glycine max (L.) Merrill] DEPARTMENT OF GENETICS AND PLANT BREEDING (Scientist /Assistant Professor) 21 SEPTEMBER 2021
  • 2. INTRODUCTION Crop Soybean (Glycine max L. Merrill) Chromosome no. – 2n-40 Family – Leguminaceae Self-pollinated crop Plant type – C3 and short day plant INDIA Area – 11.72 M ha Production – 135.83 lakh tonnes Productivity – 1192 kg/ha Source – Ministry of Agriculture and Farmers Welfare, Yearly report 2020- 21 CHHATTISGARH Area – 0.776 M ha Production – 8.84 lakh tonnes Productivity – 1145 kg/ha Source – SOPA data bank 2019-20  The crop is considered as an important oilseed in the globe due to its high Oil content 16-21% and protein content 36-42%.  Nutritional and health's benefits. Good source of protein, unsaturated fatty acids and minerals, like calcium and phosphorus including vitamins A, B, C and D.  Brazil is the world largest producer of soybean in 2020, followed by the USA, Argentina, China and India. Source -USDA (Untied state department of agriculture).  India is the world's 5th largest producer of soybean.
  • 3. ADVISORY COMMITTEE Dr. S.K. Nag (Major Advisor and Chairman) Dr. Rajeev Shrivastava (Member of department) Dr. V.B. Kuruwanshi (Member of other department) Dr. Ravi R Saxena (Member from supporting department) Dr. R.K. Yadav (Additional member)
  • 4. OBJECTIVES 1. To study the genetic variability, heritability and genetics advance for yield and its contributing characters. 2. To study genetic divergence through D2 statistics technique for grain yield and its components in soybean. 3. To determine the direct and indirect effects of various yield attributing characters on yield through correlation and path coefficient analysis.
  • 5. TECHNICAL PROGRAM OF WORK (Material, location and season for the work done) Experimental material : 41 genotypes with 4 checks total 45 genotypes. The experiment was carried out in Randomized Block Design with three replications under the All India Co-ordinated Research Project on Soybean during Kharif 2020 at the Research Cum Instructional Farm under Department of Genetics and Plant Breeding, College of Agriculture, IGKV, Raipur, C.G.
  • 6. OBSERVATIONS RECORDED S. No. Characters S. No. Characters 1 Days to 50% flowering 7 Number of pods per plant 2 Days to maturity 8 Number of seeds per plant 3 Plant height (cm) 9 100 seed weight (g) 4. Pod bearing length (cm) 10 Protein content (%) 5 Number of pod bearing nodes per plant 11 Oil content (%) 6. Number of primary branches per plant 12 Seed yield per plant (gm)
  • 7. Source of variation DF DTF DTM PH PBL NOPBN NOPBPP NOPPP NOSPP SW PC OC SYPP Replication 2 3.4700 0.496 0.5700 0.615 0.347 0.051 9.062 74.274 0.010 1.058 0.021 0.694 Treatment 44 48.49** 22.09** 50.65** 59.75** 1.91** 0.93** 177.62** 901.19** 5.98** 6.01** 2.51** 11.70** Error 88 3.489 3.027 0.263 0.275 0.247 0.055 3.881 26.827 0.044 0.510 0.156 0.454 DF stands for degree of freedom * = Significant at a 5% probability level ** = Significant at a 1% probability level { DTF = days to 50% flowering; DTM = Days to maturity; PH = Plant height (cm); PBL = Pod bearing length (cm); NOPBN = No. of pod bearing nodes per plant; NOPBPP = No. of primary branches per plant; NOPPP = No. of pods per plant; NOSPP = No. of seed per plant; SW = 100 seed weight (g); PC = Protein content (%); OC = Oil content (%), SYPP = Seed yield per plant (gm) } ANALYSIS OF VARIANCE Results of Objective 1
  • 8. Character Mean Range GCV (%) PCV (%) h2 (bs) Genetic Advance GA as % of mean Min. Max. Days to 50% flowering 37.37 31.33 44.33 10.36 11.50 81.12 7.18 19.22 Days to maturity 96.51 91 102.33 2.61 3.17 67.74 4.27 4.42 Plant height (cm) 49.79 40.75 57.71 8.23 8.29 98.45 8.37 16.82 Pod bearing length (cm) 39.99 30.27 49.45 11.13 11.21 98.63 9.11 22.77 No. of pod bearing nodes per plant 10.26 8.97 11.76 7.25 8.72 69.15 1.27 12.43 No. of primary branches per plant 3.11 2.14 4.43 17.37 18.94 84.06 1.02 32.81 No. of pods per plant 37.74 12.33 44.66 20.15 20.82 93.71 15.17 40.20 No. of seeds per plant 85.19 37.33 112.66 20.03 20.94 91.57 33.65 39.50 100-seed weight (g) 10.68 8.63 14.22 13.17 13.31 97.81 2.86 26.83 Protein content (%) 38.28 34.76 40.25 3.53 3.99 78.25 2.46 6.44 Oil content (%) 19.57 18.53 22.48 4.52 4.95 83.44 1.66 8.51 Seed yield per plant- (g) 9.32 3.47 12.82 20.77 22.00 89.20 3.76 40.42 GENETIC PARAMETERS OF VARIATION High Medium Low
  • 9. 0 5 10 15 20 25 Days to 50% flowering Days to maturity Plant height (cm) Pod bearing length (cm) No. of pod bearing nodes No. of primary branches per plant No. of pods per plant No. of seeds per plant 100-seed weight (g) Protein content (%) Oil content (%) Seed yield per plant (g) 10.36 2.61 8.23 11.13 7.25 17.37 20.15 20.03 13.17 3.53 4.52 20.77 11.5 3.17 8.29 11.21 8.72 18.94 20.82 20.941 13.31 3.99 4.95 21.99 PCV % GCV % GRAPHICAL REPRESENTATION OF GCV AND PCV FOR VARIOUS ASSOCIATED TRAITS OF SEED YIELD
  • 10. GRAPHICAL REPRESENTATION OF HERITABILITY, GENETIC ADVANCE AND GENETIC ADVANCE AS A % OF MEAN 0 5 10 15 20 25 30 35 40 45 Days to 50% flowering Days to maturity Plant height (cm) Pod bearing length (cm) No. of pod bearing nodes No. of primary branches per plant No. of pods per plant No. of seeds per plant 100-seed weight (g) Protein content (%) Oil content (%) Seed yield per plant (g) 0 20 40 60 80 100 120 h2 (bs) Genetic Advance GA as % of mean
  • 11. Number of cluster The genotype number included Name of genotypes I 21 DS 3105, CAUMS 2, RSC 11-39, AS-15, PS 1664, JS 22-14, DS 3144, DLSb-1, JS 20- 116, RVS 2012-10, RVS 2011-10, ASb 36, MACS 1701, KDS 1096, KDS 1144, BAUS 96-17, TS 20-5, SL 1212, SL 1250, RSC 11-17, RSC 11-36 II 8 HIMSO 1691, VLS 101, PS 1661, Himso- 1692, ASb 9, AUKS 207, MACS 1460, RSC 11-15 III 6 DSb-38, DLSb-2, RSC 10-46, NRC 109, MACS 1691, RSC 11-22 IV 3 JS 22-11, PS 1670, MAUS 806 V 2 MAUS 768, BAUS 31-17 VI 3 RVSM 2012-11, NRC 128, RSC 11-35 VII 1 DS 1312 VIII 1 AUKS 206 SOYBEAN GENOTYPES IN VARIOUS CLUSTERS ANALYSIS OF GENETIC DIVERGENCE Results of Objective 2
  • 12. S.No. Characters No. of times appearing first in ranking Contribution towards divergence (%) 1 Days to 50% flowering 7 0.71 2 Days to maturity 4 0.40 3 Plant height (cm) 223 22.53 4 Pod bearing length (cm) 307 31.01 5 Number of pod bearing nodes per plant 1 0.10 6 Number of primary branches per plant- 16 1.62 7 Number of pods per plant 63 6.36 8 Number of seeds per plant 46 4.65 9 100-seed weight (g) 289 29.19 10 Protein content (%) 4 0.40 11 Oil content (%) 18 1.82 12 Seed yield per plant (g) 12 1.21 Total 990 100 CONTRIBUTION OF VARIOUS TRAITS TO DIVERGENCE AMONG 45 SOYBEAN GENOTYPES
  • 13. Days to 50% flowering 0.70% Days to maturity 0.40% Plant height (cm) 22.53% Pod bearing length (cm) 31% Number of pod bearing nodes per plant 0.10% Number of primary branches per plant- 1.62% Number of pods per plant 6.36% Number of seeds per plant 4.65% 100-seed weight (g) 29.19% Protein content (%) 0.40% Oil content (%) 1.82% Seed yield per plant (g) 1.21% Figure - Relative contribution of different characters towards genetic divergence in percentage
  • 14. Cluster I II III IV V VI VII VIII I 199.66 (14.13) 610.53 (24.71) 413.96 (20.35) 1060.47 (32.56) 444.49 (21.08) 859.09 (29.31) 602.69 (24.55) 517.61 (22.75) II 202.97 (14.25) 425.69 (20.63) 433.54 (20.82) 1262.73 (35.53) 602.59 (24.55) 379.03 (19.47) 1294.73 (35.98) III 193.59 (13.91) 412.62 (20.31) 1143.80 (33.82) 544.46 (23.33) 832.67 (28.86) 914.78 (30.25) IV 161.65 (12.71) 2240.25 (47.33) 699.46 (26.45) 1135.07 (33.69) 1935.68 (44.00) V 263.60 (16.24) 1524.69 (39.05) 803.41 (28.34) 450.03 (21.21) VI 299.88 (17.32) 1020.59 (31.95) 920.43 (30.34) VII 0.00 (0.00) 1245.83 (35.30) VIII 0.00 (0.00) SOYBEAN GENOTYPES INTER AND INTRA-CLUSTER DISTANCE INTRA CLUSTER DISTANCE INTER CLUSTER DISTANCE * Figure given in diagonals bold is intra-cluster D2 values and figure in parenthesis is 𝐷2 values MAXIMUM MINIMUM
  • 15. DIFFERENT INTER AND INTRA CLUSTER DISTANCES ARE REPRESENTED DIAGRAMMATICALLY
  • 16. Characters Cluster Entries DTF DTM PH PBL NOPBNP P NOPBPP NOPPP NOSPP SW PC OC SYPP I 21 37.17 96.84 51.94 42.60 10.24 3.09 40.57 90.90 10.07 38.21 19.49 9.87 II 8 38.33 94.58 47.48 37.56 10.36 3.03 38.73 87.79 12.70 38.65 19.61 10.29 III 6 36.89 98.33 47.08 36.43 10.65 3.37 38.41 88.89 9.68 37.59 19.72 8.94 IV 3 37.11 95.44 42.33 31.80 9.91 3.27 41.32 95.22 10.96 39.43 19.98 10.15 V 2 39.00 96.67 57.57 48.30 10.47 3.27 38.50 77.50 10.81 36.83 19.97 9.14 VI 3 37.11 95.11 45.75 35.93 10.11 2.82 17.00 39.67 10.55 39.32 19.35 3.81 VII 1 31.67 99.00 52.25 42.99 9.55 2.55 40.78 81.00 14.20 36.46 19.27 10.34 VIII 1 40.67 99.00 56.20 43.18 9.26 3.29 13.67 48.33 9.13 39.35 19.11 5.69 CLUSTER MEAN OF SOYBEAN GENOTYPES MIN MAX DTF = Days to 50% flowering NOPPP = Number of pods per plant DTM = Days to maturity NOSPP = Number of seeds per plant PH = Plant height (cm) SW = 100 seed weight (g) PBL = Pod bearing length (cm) PC = Protein content (%) NOPBNPP = Number of pod bearing nodes per plant OC = Oil content (%) NOPBPP = Number of primary branches per plant SYPP = Seed yield per plant (g)
  • 17. S.No. Characters Genotypes I II 1 Days to 50% flowering DS 1312 NRC 109 2 Days to maturity HIMSO 1691 VLS 101 3 Plant height (cm) JS 22-11 PS 1670 4 Pod bearing length (cm) PS 1670 BAUS 31-17 5 No. of pod bearing nodes per plant DSb-38 NRC 109 6 No. of primary branches per plant- DLSb-2 RSC 10-46 7 No. of pods per plant JS 22-11 PS 1670 8 No. of seeds per plant MAUS 806 JS 22-11 9 100-seed weight (g) DS 1312 PS 1661 10 Protein content (%) JS 22-11 PS 1670 11 Oil content (%) MAUS 806 JS 22-11 12 Seed yield per plant (g) DS 1312 PS 1661 DESIRABLE GENOTYPES FOR DIFFERENT TRAITS IN SOYBEAN
  • 18. Characters DTF DTM PH PBL NOPBN NOPBPP NOPPP NOSPP SW PC OC SYPP DTF G P 1.000 1.000 DTM G P 0.257** 0.283** 1.000 1.000 PH G P 0.057 0.052 0.213* 0.172* 1.000 1.000 PBL G P 0.121 0.105 0.277** 0.230** 0.862** 0.850** 1.000 1.000 NOPBN G P 0.086 0.061 0.040 0.025 -0.045 -0.044 -0.120 -0.104 1.000 1.000 NOPBPP G P 0.139 0.102 0.227** 0.153 -0.070 -0.065 0.005 0.004 -0.010 -0.017 1.000 1.000 NOPPP G P 0.052 0.067 0.158 0.119 0.138 0.133 0.145 0.140 0.231** 0.177* 0.151 0.156 1.000 1.000 NOSPP G P 0.075 0.046 0.285** 0.225** 0.113 0.098 0.095 0.099 0.135 0.121 0.252** 0.204* 0.807** 0.743** 1.000 1.000 SW G P -0.049 -0.033 -0.242** -0.189* -0.179* -0.170* -0.128 -0.126 -0.115 -0.098 -0.179* -0.160 0.081 0.82 -0.039 -0.042 1.000 1.000 PC G P 0.138 0.128 -0.241** -0.141 -0.264** -0.232** -0.249** -0.217* -0.104 -0.095 0.132 0.114 -0.157 -0.123 -0.106 -0.101 0.130 0.120 1.000 1.000 OC G P 0.150 0.158 -0.017 0.011 -0.043 -0.039 -0.008 -0.007 0.020 -0.024 0.087 0.066 0.119 0.130 0.214* 0.186* 0.032 0.039 -0.316** -0.243** 1.000 1.000 SYPP G P 0.103 0.082 0.282** 0.191* 0.199* 0.183* 0.180* 0.180* 0.126 0.081 0.178* 0.152 0.882** 0.806** 0.883** 0.829** 0.140 0.129 -0.100 -106 0.144 0.143 1.000 1.000 ** Significant at 1% probability level *Significant at 5% probability level {DTF = days to 50% flowering; DTM = Days to maturity; PH = Plant height (cm); PBL = Pod bearing length (cm); NOPBN = No. of pod bearing nodes/ plant; NOPBPP = No. of primary branches per plant; NOPPP = No. of pods per plant; NOSPP = No. of seed per plant; SW = 100 seed weight(g); PC = Protein content (%); OC = Oil content (%), SYPP = Seed yield per plant (g)} ANALYSIS OF CORRELATION COEFFICIENT Genotypic and phenotypic correlation coefficient for seed yield and its contributing traits in Soybean Results of Objective 3
  • 19. Character Days to 50% flowering Days to maturity Plant height (cm) Pod bearing length (cm) No. of pod bearing nodes/plant No. of primary branches per plant- No. of pods per plant No. of seeds per plant 100-seed weight (g) Protein content (%) Oil content (%) Seed yield per plant (g) Days to 50% flowering 0.020 0.027 0.009 -0.009 -0.003 -0.001 0.025 0.035 -0.007 0.007 0.001 0.103 Days to maturity 0.005 0.106 0.034 -0.021 -0.001 -0.002 0.075 0.135 -0.037 -0.012 -0.000 0.282** Plant height (cm) 0.001 0.023 0.159 -0.065 0.002 0.001 0.066 0.054 -0.027 -0.013 -0.000 0.199* Pod bearing length (cm) 0.002 0.029 0.137 -0.075 0.004 -0.000 0.069 0.045 -0.020 -0.012 -0.000 0.180* No. of pod bearing nodes/ plant 0.002 0.004 -0.007 0.009 -0.033 0.000 0.110 0.064 -0.018 -0.005 0.000 0.126 No. of primary branches per plant- 0.003 0.024 -0.011 -0.000 0.000 -0.008 0.072 0.119 -0.027 0.006 0.000 0.178* No. of pods per plant 0.001 0.017 0.022 -0.011 -0.008 -0.001 0.475 0.382 0.012 -0.008 0.000 0.882** No. of seeds per plant 0.002 0.030 0.018 -0.007 -0.005 -0.002 0.383 0.474 -0.006 -0.005 0.001 0.883** 100-seed weight (g) -0.001 -0.026 -0.028 0.010 0.004 0.001 0.039 -0.018 0.153 0.006 0.000 0.14 Protein content (%) 0.003 -0.025 -0.042 0.019 0.004 -0.001 -0.075 -0.050 0.020 0.049 -0.001 -0.1 Oil content (%) 0.003 -0.002 -0.007 0.001 -0.001 -0.001 0.057 0.101 0.005 -0.016 0.003 0.144 ANALYSIS OF PATH COEFFICIENT The genotypic path coefficient (direct and indirect effects) of different traits influencing seed yield per plant Residual effect - 0.10086 Positive direct effect with Significant correlation on Seed yield Positive indirect effect with significant correlation on seed yield
  • 20. Conclusion • The present genetic variability gives an opportunity to select higher-level genotypes that can be obtained by evaluating them. • The high percentage of GCV and PCV was recorded for seed yield per plant, number of pods per plant and number of seeds per plant. The existence of a large genotypic coefficient of variation suggesting that the population has a lot of variability and provides opportunities for genetic enhancement through trait selection. • The number of pods per plant, number of seeds per plant, number of primary branches per plant and 100-seed weight were observed high heritability with high genetic advance as percent of mean. Suggesting that these traits are governed by additive gene effects, which is fixable, In such situation direct selection for seed yield may be effective. • High heritability coupled with low genetic advance was found for protein content and oil content. It suggests that non-additive gene action. The high heritability shown by the positive environmental influence rather than the genotype and selection of such traits is not effective for yield. • Two components, that is, days to maturity and number of pod bearing nodes per plant, show medium heritability, it reveals that environmental effects are heavily influenced on these two traits and genetic improvement through selection is challenging because of its high environmental effects. Cont.
  • 21. • The traits like, days to maturity, plant height, pod-bearing length, number of pods per plant, number of seed per plant, and number of primary branches per plant all had positive and significant correlations with seed yield per plant. selection for improvement of such character may be rewarding. • Protein content was revealed to have a negative relationship with oil content. • The number of pods per plant and number of seed per plant had the greatest positive direct effect and correlation on seed yield per plant. it reveals true relationship between them and direct selection for these traits will be rewarding for yield improvement. • Path coefficient analysis results revealed that number of pod bearing nodes and number of primary branches per plant had negatively direct effects on yield, the selection based on these features might lead to the loss of soybean yield. The characters number of pods per plant and number of seeds per plant exhibited positive direct effects and significant correlation with seed yield, so these characters concluded that the main yield contributing components in soybean. • 45 genotypes were grouped into eight cluster. Cluster-I had the greatest intra-cluster distance, followed by other clusters. It should be given emphasis, while selection of parents for hybridization programme since most of the elite breeding cultivars were included this cluster. • The genotypes with high number of pods per plant, number of seeds per plant and pod bearing length may be utilized to improve the seed yield of soybean genotype through hybridization and selection.

Editor's Notes

  1. There are 45 genotypes in the study.