Stability Analysis in Pigeonpea [Cajanus cajan (L.) Millsp.] at Multiple Environments

Author:

Gautam Kumar Jatav* and  Suryakant Sahu

Journal Name: International Journal on Emerging Technologies, 16(1): 101–104, 2025

Address:

*Department of Genetics and Plant Breeding,

Indira Gandhi Krishi Vishwavidyalaya, Raipur (Chhattisgarh), India.

(Corresponding author: Gautam Kumar Jatav* gautam.jatav22@gmail.com)

DOI: https://doi.org/10.65041/IJET.2025.16.1.14

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Abstract

Stability analysis of the twenty genotypes of pigeonpea was accessed for eight characters in a randomized complete block design (RCBD) with two replications at  three locations viz., Research Cum Instructiona Farm College of Agriculture, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Sant Kabir College of Agriculture and Research Station, Kabirdham and Shaheed Gundadhur College of Agriculture and Research station, Jagdalpur during kharif  2022-2023. The analysis of variance for stability showed significant mean sum of squares for the genotypes foe eight traits viz., days to 50% flowering, days to maturity, plant height, number of branches, number of pods per plant, number of seeds per pod, 100 seed weight, seed yield per plant. For each character, the (linear) mean sum of squares for their environment was significant. During the kharif of 2022–2023, stability analysis of the 20 pigeonpea genotypes was obtained for eight characters in a randomised complete block design (RCBD) with two replications at three locations: Shaheed Gundadhur College of Agriculture and Research station, Jagdalpur; Sant Kabir College of Agriculture and Research Station, Kabirdham; and College of Agriculture, Indira Gandhi Krishi Vishwavidyalaya, Raipur. Significant mean sum of squares for the genotypes for eight traits—days to 50% flowering, days to maturity, plant height, number of branches, number of pods per plant, number of seeds per pod, 100 seed weight, and seed yield per plant—were revealed by the stability analysis of variance. The (linear) mean sum of squares for each character's surroundings was noteworthy. In terms of seed yield per plant, stability analysis also supports the aforementioned findings and showed that the genotypes RP 2, ICP 7379, ICP 6994, ICP 7005, RPS 2015-29, RPS 2014-32, and BDN 716 were stable. Regression values greater than one for genotypes RP 2, ICP 7379, ICP 6994, ICP 7005, RPS 2015-29, RPS 2014-32, and BDN 716 showed greater stability for the number of tillers per plant under particular conditions. Regression values smaller than one indicate that the genotypes RPS 2014-1, RPS 2014-19, RPS 2014-6, RPS 2014-03, RPS 2014-31, RPS 2014-34, C.G. Arhar-1, and RP7373 are generally stable over a range of environments. If the regression value is more than one, then highly stable cultivars may be recommended for extremely favourable conditions.

Keywords

Stability, genotype, pigeonpea, Multiple Environments.

Introduction

Pigeon peas (Cajanus cajan L. Millsp.) are the most significant pulse crop that grows in tropical and subtropical regions. Sarkar et al. (2020) India is the world's largest producer of pigeon peas, accounting for 75-80% of total production. With a production of 960 kg/ha, it yields 4.25 MT total when planted over an area of 4.43 MHA in India. With a yield of 4.9 thousand tonnes, the area in Assam is 6,000 hectares and the productivity is 833 kg/ha. (2018, Agricultural Statistics). The pigeon pea, also known as "arhar, tur," or "red gramme," is a forage or cover crop as well as a food crop (dry peas, flour, or green vegetable peas). It is known to be a good source of vegetarian protein, especially in underdeveloped nations like India. The vast majority of people rely on inexpensive vegetarian meals (Gupta et al., 2024). It can repair the nitrogen in the atmosphere. Among its many benefits are seeds with a high protein content (21-25%), fuel, fodder, and the ability to prevent erosion. Most often, it is grown as a solitary crop, a kharif crop, or a mixed crop. In Assam, black gramme, green gramme, and sesame are interplanted. Traditional pigeon pea varieties are incompatible with other crop systems because they are long-duration varieties that take more than 10 months to mature (Borah et al., 2020). Over time, a gap between supply and demand has arisen as a result of pigeon pea yield stagnating due to a lack of diversity and photosensitivity (Sameerkumar et al., 2016). Twenty pigeonpea genotypes were selected for the current study in order to examine the genotypes' differences in seed yield and seven yield-related variables, as well as their stability under three different environmental conditions.

Material & Methods

The experimental material for this study consisted of 20 pigeonpea genotypes, including two checks (BDN-716 & Chhattisgarh Arhar-1). Table 1 of the study's materials was supplied by the Department of Genetics and Plant Breeding College of Agriculture, Raipur's AICRP pigeonpea department. At each site, two replications were set up using a Randomised Block Design. The current study was conducted in three different settings: Shaheed Gundadhur College of Agriculture and Research Station, Jagdalpur; Sant Kabir College of Agriculture and Research Station, Kabirdham; and College of Agriculture, Indira Gandhi Krishi  Vishwavidyalaya, Raipur. Each genotype was planted in a single plot that had six rows, each measuring 4 by 3.6 meters, with an interrow spacing of 60 cm and an intrarow spacing of 20 cm. To improve the uniform crop stand, suggested agronomic techniques and plant protection measures were implemented. Five competitive plants were randomly chosen from each genotype and replication at each site, and observations were made on eight distinct morphological characteristics: days to 50% flowering, days to maturity, plant height (cm), number of branches/plant, number of pods/plant, number of seeds/pod, 100 seed weight (g), and seed yield/plant (g). Mean values from pooled data were used to study variability. Homogeneity of variance was tested using Bartlett's test. To ascertain stability regression coefficients and regression deviations, stability analysis was performed. Using the proper test recommended by Ebehart and Russell (1966), the mean square for regression deviations was compared to the residual mean square.

Results & Discussion

The current study's findings are being examined in relation to the genotypes' variability;

Stability Analysis. Result of stability analysis has been presented in table 5. The analysis of variance for stability showed significant mean sum of squares for the genotypes foe eight traits viz., days to 50% flowering, days to maturity, plant height, number of branches, number of pods per plant, number of seeds per pod, 100 seed weight, seed yield per plant. For each character, the (linear) mean sum of squares for their environment was significant. Stability analysis also confirms the above findings and exhibited stability of genotypes RP 2, ICP 7379, ICP 6994, ICP 7005, RPS 2015-29, RPS 2014-32, and BDN 716 for seed yield per plant. Genotypes RP 2, ICP 7379, ICP 6994, ICP 7005, RPS 2015-29, RPS 2014-32, and BDN 716 exhibited regression value more than one, indicated better stability of these genotypes for number of seed yield per plant in specific environments. Genotypes RPS 2014-1, RPS 2014-19, RPS 2014-6, RPS 2014-03, RPS 2014-31, RPS 2014-34, C.G. Arhar-1 and RP7373 have regression value less than one which showed average stability of this genotypes over a range of environment. There are highly stable varieties that can be suggested for highly favourable environments if the regression value is greater than one. Present result supports the earlier findings of Kuchanur et al. (2008); Sawargaonkar et al. (2011); Sreelakshmi et al. (2013); Kumara et al. (2016); Singh et al. (2016); Ramesh et al. (2017); Yohane et al. (2020); Pal et al. (2020); Chauhan et al. (2021); Patel et al., (2022); Dhanushasree and Hemavathy (2022) Jatav and Sahu 2025).  

Stability analysis confirms that Genotypes RP 2, ICP 7379, ICP 6994, ICP 7005, RPS 2015-29, RPS 2014-32 and BDN 716 were found to have better combination of above mentioned characters and also contributing maximum to yield even in odd climatic conditions of Chhattisgarh. These genotypes have the maturity duration between 177 – 180 days.   

Table 1: List of genotypes/entries and pedigree.

Sr. No.

Genotype

Pedigree

Sr. No.

Genotype

Pedigree

1.

RP-3

Germplasm

11.

*RPS-2014-6

ICP7373 × ICPL 87119

2.

RP-5

Germplasm

12.

*RPS-2014-29

ICP 7393 × ICP 87

3.

RP-2

Germplasm

13.

*RPS-2014-03

ICP 7004 × UPAS 120

4.

ICP-7379

ICRISAT

14.

*RPS-2014-31

ICP 7406 × ICPL 87119

5.

ICP-6994

ICRISAT

15.

*RPS-2014-34

ICP 7406  × ICPL 87

6.

ICP-7005

ICRISAT

16.

*RPS-2014-32

ICP 7406 × BDN 2

7.

*RPS-2014-1

ICP 7004 × ICPL 87119

17.

C.G. Arhar-1

Selection for ICP 7366

8.

*RPS-2014-11

ICP 7376 × ICPL 87119

18.

BDN-716

BSMR 736 × BSMR 198

9.

*RPS-2014-21

ICP 7391 × ICP 87119

19.

RP-7

Germplasm

10.

*RPS-2014-19

ICP 7382 × ICPL 87

20.

RP-7373

Germplasm

*F7 generation

Source: AICRP on Pigeonpea, Dept. of G&PB, Raipur

Table 2: Analysis of variance for stability of different characters in pigeonpea.


DF

Days to 50% flowering

Days to maturity

Plant height (cm)

Number of branches

Number of pods per plant

Number of seeds per pod

100 seed weight (g)

Seed yield per plant (g)

Rep within Env.

3

2.621

2.842

53.364

0.771

147.093

0.028

0.478

11.366

Varieties

19

3.441

2.569

151.629

2.006

536.437

0.032

0.527

15.085

Env.+ (Var.* Env.)

40

164.229 **

17.554 **

248.988 *

5.218 **

2748.296 **

0.097

1.760 **

89.867 **

Environments

2

3204.754 **

283.054 **

3563.129 **

79.261 **

46071.950 **

0.952 **

20.425 **

1527.766 **

Var.* Env.

38

4.202

3.58

74.559

1.321

468.104

0.052

0.777

14.188

Environments (Lin.)

1

6409.507 **

566.108 **

7126.258 **

158.521 **

92143.890 **

1.904 **

40.851 **

3055.532 **

Var.* Env.(Lin.)

19

4.315

2.722

47.269

1.344

549.053

0.039

1.094 *

13.458

Pooled Deviation

20

3.884 **

4.217 **

96.758 **

1.233 **

367.797 **

0.061 **

0.437 **

14.172 **

Pooled Error

57

1.042

0.921

30.621

0.39

81.532

0.014

0.19

3.784

Total

59

112.45

12.729

217.635

4.184

2036.002

0.076

1.363

65.785

*,**,  significant at 5%, 1% level respectively

Table 3: Mean values for yield and its component traits in 20 genotypes of Pigeonpea.




Days to 50% flowering

Days to maturity

Plant height (cm)

Number of branches

Number of pods per plant

Number of seeds per pod

100 seed weight (g)

Seed yield per plant (g)



Sr. No.

Genotypes

Mean

(bi)

(S2di)

Mean

(bi)

(S2di)

Mean

(bi)

(S2di)

Mean

(bi)

(S2di)

Mean

(bi)

(S2di)

Mean

(bi)

(S2di)

Mean

(bi)

(S2di)

Mean

(bi)

(S2di)

1.

RP-3

125.30

1.12

29.99 **

178.20

0.91

1.81

187.00

0.63

123.46 *

11.03

0.68

-0.41

139.90

1.61

52.88

3.60

1.816

0.051 *

9.82

1.71

-0.20

23.06

1.18

75.54**

2.

RP-5

122.80

1.19

3.74 *

180.20

1.73

17.74 **

195.80

1.02

-30.39

11.27

0.97

-0.25

140.20

1.08

-29.87

3.43

0.928

0.0098

10.20

1.47

-0.20

24.57

1.19

69.48**

3.

RP-2

124.70

1.00

-1.12

179.70

0.97

7.19**

192.70

0.93

29.01

9.07

0.42

0.07

134.00

0.69

1476.10**

3.60

1.624

-0.002

9.73

1.66

0.96*

24.22

1.34

-4.10

4.

ICP-7379

122.70

1.00

1.09

180.20

0.91

1.8

194.90

0.55

-26.33

11.50

1.41

6.67**

162.30

1.96

567.82**

3.64

1.143

0.029

10.42

1.68

0.19

23.41

1.21

6.45

5.

ICP-6994

123.70

1.14

-1.11

177.30

1.49

2.50

184.80

0.86

96.83*

9.30

0.25

-0.11

150.90

1.22

1148.66**

3.80

1.149

0.0015

9.51

1.07

0.18

26.45

1.74

6.78

6.

ICP-7005

123.30

0.98

-0.52

178.30

1.04

5.33 *

193.40

0.97

183.45*

10.57

0.44

1.92*

165.10

0.99

-82.30

3.73

-0.02

0.091**

9.91

2.04

-0.04

26.89

1.09

-1.26

7.

RPS- 2014-1

125.00

0.99

-0.94

179.50

1.15

-0.16

186.60

1.48

366.50**

10.90

0.95

0.94

128.90

0.75

334.25*

3.53

0.215

0.0273

10.03

1.22

-0.20

21.06

0.87

5.96

8.

RPS 2014-11

124.80

1.05

0.68

179.30

0.65

-0.69

184.20

1.06

10.33

11.80

1.16

-0.13

141.50

1.23

205.79

3.57

1.805

0.161**

10.47

0.33

-0.20

21.52

0.82

14.75*

9.

RPS 2014-21

122.70

0.90

2.23

179.00

1.01

12.33**

189.60

1.44

-28.83

11.33

0.82

3.73**

166.40

0.90

43.06

3.57

0.905

0.0137

10.06

0.40

-0.01

27.80

1.09

24.56*

10.

RPS 2014-19

124.20

0.94

1.07

178.80

1.07

-0.589

184.00

0.70

23.19

11.70

1.65

1.25*

170.00

0.79

1093.50**

3.80

0.204

0.121**

9.46

0.82

1.28**

27.69

0.69

-1.70

11.

RPS 2014-6

125.30

0.95

1.77

180.00

0.74

-0.857

179.30

1.27

29.95

11.80

1.37

-0.40

143.40

0.60

-78.23

3.57

0.017

-0.0079

10.34

-0.10

0.06

22.74

0.74

2.17

12.

RPS 2015-29

125.80

0.95

1.77

179.80

0.94

-0.793

189.10

1.29

-25.96

11.67

1.03

-0.37

143.10

0.72

427.28*

3.53

1.624

0.060 *

10.04

-0.71

0.28

24.65

1.12

-3.00

13.

RPS 2014-03

124.70

0.97

-0.14

179.50

0.64

-0.203

188.50

1.79

10.32

10.60

0.49

-0.38

157.20

0.82

-46.04

3.70

1.386*

-0.0149

9.07

1.32

-0.16

25.97

0.76

-2.07

14.

RPS 2014-31

124.30

0.95

-0.94

177.70

0.77

5.50 *

180.10

0.73

35.64

10.43

0.7

-0.29

153.70

1.38

-7.47

3.53

0.69

-0.0136

9.49

0.92

-0.16

23.47

0.63

-4.08

15.

RPS2014-34

126.20

0.73

-0.55

181.00

0.40

8.53 **

171.00

0.56

325.31**

10.90

1.12

4.23**

150.20

0.72

-78.59

3.77

0.226

-0.0131

10.01

0.77

-0.18

24.91

0.71

1.68

16.

RPS 2014-32

124.80

0.91

-0.53

180.50

1.12

-0.13

177.60

0.42

5.12

11.30

1.44

0.11

164.00

0.89

-60.76

3.67

1.16

0.0237

10.77

-0.06

0.06

29.21

1.01

-4.10

17.

C.G. Arhar-1

125.80

1.12

3.05

178.80

1.22

0.05

197.60

1.45

26.73

11.73

1.48

0.01

153.70

0.84

120.44

3.47

1.618

0.0225

9.91

1.61

2.52**

26.57

0.61

-0.45

18.

BDN 716

124.20

1.24

1.70

179.30

0.78

-0.87

175.50

0.89

-27.53

10.67

0.88

-0.17

126.20

0.76

95.47

3.60

0.475

0.0436

10.49

0.91

-0.19

26.74

1.43

-1.66

19.

RP-7

123.30

0.95

14.52 **

179.50

1.38

0.68

180.80

0.86

126.52*

12.00

1.28

0.45

166.00

0.85

-75.79

3.67

1.177

0.179**

9.95

1.05

0.58

26.96

0.88

16.12*

20.

RP-7373

125.20

0.94

-0.52

179.70

1.12

4.80 *

184.20

1.13

46.65

12.07

1.48

-0.41

164.60

1.18

553.49 **

3.63

1.861

0.141**

9.57

1.89

0.09

27.44

0.91

-0.90

*,**,  significant at 5%, 1% level respectively





Conclusion

Stability analysis confirms that Genotypes RP 2, ICP 7379, ICP 6994, ICP 7005, RPS 2015-29, RPS 2014-32 and BDN 716 were found to have better combination of above mentioned characters and also contributing maximum to yield even in odd climatic conditions of Chhattisgarh. These genotypes have the maturity duration between 177 – 180 days.  

Future Scope

A thorough investigation of pigeonpea stability can increase adaptability and output in the event of rains. Finally, the effect of climate change can be reduced through the choice of stable genotypes that are able to perform better during irregular precipitation patterns. Research on the conservation of soil and water increases the stability of cultivation in the areas for pigeonpea. Stability analysis can support decision makers in recommending flexible crops and better seed distribution strategies. All things were considered, this development would support permanent agriculture and food security.

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How to cite this article

Gautam Kumar Jatav and  Suryakant Sahu (2025). Stability Analysis in Pigeonpea [Cajanus cajan (L.) Millsp.] at Multiple Environments. International Journal on Emerging Technologies, 16(1): 101–104.