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Stabilty Analysis Of Elite Strains In Indian Mustard

S.S. Dhillon*; K. Singh** and K.S. Brar***

PAU, Regional Research Station, Bathinda, India-151001.

Abstract

Twenty eight genotypes of Indian mustard were grown in four diverse environments to study genotype-environmental ( G X E ) interaction and phenotypic stability for grain yield and its components. Sufficient G E interaction was exhibited by the genotypes for all the characters except oil content ( percentage). However, the characters differed as regards the contribution of linear and non-linear components of GE interaction. The genotypes PBR 181, PBR 171 and PBR 91 have stability for most of the important yield contributing characters as well as seed yield. Thus, these genotypes can be utilized to develop stable strains having wider adaptability in future breeding programmes.

Keyword; Indian mustard, Brassica juncea, stability analysis

Introduction

The phenotypic performance of a genotype is not necessarily the same under diverse agro-ecological conditions. Some genotypes may far well in some environments but no so well in others. Such GXE interactions have assumed greater importance in Plant Breeding as they reduce the stability of genotypic values under diverse environments. In the present investigation, an attempt has been made to study the stability of some elite promising genotypes of Indian Mustard ( Brassica juncea L. Czern & Coss. ).

Material and methods:

Twenty eight elite genotypes of Indian Mustard were studied for stability parameters under different four environments i.e. under irrigated and rainfed conditions at PAU, Regional Research station, Bathinda, timely sown at PAU, Cotton Seed Farm, Goniana and under late sown conditions at PAU, Regional Research Station, Faridkot during 1996-97. Standard package of practice were followed to raise the crop. Each genotype was accommodated in 1.5 X 5.0 m2 plot in randomized Block design. Observations were recorded on 5 randomly chosen plant in each genotype in replication. Data recorded on primary branches per plant, plant height (cm), main shoot length (cm), number of pods on main shoot length, oil content percentage and grain yield per plot. Stability parameters were estimated using the model proposed by Eberhart and Russel ( 1966).

*Associate Director of Research, PAU, RRS, Bathinda
** Oilseeds Breeder, PAU,RRS, Bathinda
**** Asstt. Plant Breeder< PAU, RRS, Bathinda

Results and discussion;

Pooled analysis of variance revealed significant differences among the genotypes for all the characters. Further, variance due to environment( linear) indicated that performances of the genotypes can be predicted. The variance due G X E was significant for all the characters except oil content percentage ( Table 1.). Stability parameters for different characters are summarized in table 2. The genotype PBR 181, PBR 171 and PBR 91 showed highest mean values of grain yield alongwith the stable performance across different environments. Although, the genotype PBR 148 also showed high grain yield per plot and non-significant regression coefficient, but significance of deviation from regression indicated that the genotype PBR 148 may not exhibit the same level of performance over all the environments.

nly twelve genotypes were found to consistence with respect to number of primary branches per plant.PBR 171, Varuna, RLM 619 PBR 181 and PBR 145 were found to be highly stable for this trait as indicated from non-significant regression coefficient and least deviation from regression. Though PBR 144 had highest mean but significant regression coefficient of this genotype suggested that this genotype performs well only in favorable environments (i.e. timely sown and irrigated conditions). The genotypes PBR 181, PBR 91, Kranti, PBR 154 and PBR 98 were found to be stable over the environments with respect to number of pods on main shoot. Although, PBR 135 showed highest number of pod per main shoot, but this was unpredictable across the environments due to the significant deviation from regression of this genotype. The significant GXE interaction for number of siliqua per plant has also been reported by Wani (1992) in Brassica.

The short statured genotype PBR 154 followed by PBR 141, Kranti, PBR 91 and PBR 98 were found highly stable for plant height across the environments. Similarly for the main shoot length only eight genotypes were found consistence over the different environments. PBR 147 had highest main shoot length but this genotype performed best only in favorable conditions as it indicated from significant regression coefficient of this genotype.

None of the genotype exhibited significant regression with respect to oil content percentage showed that this trait is not influenced by environments. This is supported by the non-significant variance due to G X E interaction for this trait. However, PBR 144 has been found be the most stable for this trait under different environments. Wani (1993) has has also reported that oil content was highly stable trait when genotypes grown across different environments.

From the above discussion, it could be concluded that though no single genotype is stable for all the characters under study. This is in consonance with studies of Wani (1992), Wani (1993) and Verma et al., (1994) as they observed that no single genotype showed stability for all the traits under different environments. But genotypes PBR 181, PBR 171, and PBR 91 have showed stability for most of the important yield contributing characters as well as seed yield. Thus, these genotypes can be utilized to develop stable strains having wider adaptability in future breeding programmes.

References

1. Eberhart, S.A. and W.A.Russel. 1966. Stability parameters for comparing varieties. Crop. Sci., 6:36-40.

2. Verma, A.K.; J.L. Matho and P.K. Sinha. 1994. Stability for yield and yield attributing traits in Toria under rainfed conditions. Indian J. Agric. Sci., (1): 59-61.

3. Wani, S.A. 1992. Genotype x environment interaction for yield and its components in Indian mustard. Adv. Plant Sci., 5: 421-25.

4. Wani, S.A. 1993. Stability for oil content and harvest index in Indian mustard. Adv. Plant Sci., 6 : 65-69.

Table 1. Analysis of variance for different characters in Indian mustard

Source

d.f.

Primary branches

Plant height (cm)

Main shoot length (cm)

Number of pod/main

Oil content percentage

Grain yield (g)

Varieties

27

1.352**

235.037**

79.537**

31.657**

4.859**

0.084**

Env+ (var+ environ)

84

1.224**

298.430**

147.731**

34.507**

1.404**

0.0310**

Environment (Linear)

1

27.160**

21402.09**

8247.12**

1886.75**

80.952**

1.218**

VarX Env(Linear)

27

1.173**

95.579**

92.507**

14.471**

0.588

0.011**

Pooled deviation

56

0.758**

27.350**

27.938**

11.858**

0.3971

0.020**

Pooled error

224

0.140

9.306

3.009

2.645

0.3526

0.004

* : significant at 1% level of probability
** : significant at 5% level of probability

Table 2. Stability parameters in Indian mustard

Genotype

Primary branches per plant

Plant height(cm)

Main shoot length (cm)

 

X

bi

S-2di

X

bi

S-2di

X

bi

S-2di

PBR 98

4.57

0.9179

0.3028

174.75

0.9450

-6.0745

64.45

0.8445

6.3025

PBR 106

3.79

0.0766**

0.6651

165.17

1.0260

-7.0367

63.46

1.3398**

-2.2583

PBR 107

3.73

0.3004**

2.3092**

168.42

1.7005**

-67.7214**

59.90

1.2582**

13.8146

PBR 110

4.18

2.0112**

0.2366

169.38

0.7558*8

-4.8734

67.62

0.9166

7.8146

PBR 134

4.92

0.9899

1.1238**

172.19

0.8578

22.8578

66.46

1.9420**

6.1409

PBR 135

4.64

1.7155**

1.1238**

163.00

1.0779

22.8645

57.89

1.1829

15.9773*

PBR 136

4.12

1.3329

0.3429

148.17

0.1876**

-2.5791

59.44

1.1245

5.3430

PBR 140

4.47

2.3803**

0.2264

177.59

1.2706**

53.1143**

66.75

0.6055**

3.7196

PBR 141

3.67

-0.4500**

1.6246**

168.25

0.9251

-7.7623

64.67

0.6509**

0.7477

PBR 142

4.19

0.0782**

0.3257

156.25

1.3595**

98.6608**

55.83

1.0694

214.1878**

PBR 143

5.41

2.0133**

0.8628

159.91

1.0626

22.6499

61.83

0.6004**

6.1454

PBR 144

5.87

2.0021**

1.4367**

154.72

1.2754**

65.7860**

56.17

1.2926*

100.9135**

PBR 145

4.42

1.3384

0.0723

156.00

0.7765**

5.9597

53.88

0.7433**

33.1943**

PBR 146

3.50

0.9393

3.0302**

161.25

1.4445**

61.7827**

57.00

1.2988**

7.4529

PBR 147

5.36

1.2224

0.1093

171.25

1.2334**

-0.4630

68.13

1.3839**

0.8884

PBR 148

3.97

0.3679**

0.0477

173.22

1.4183**

-248.6026**

65.09

0.5798**

23.7515**

PBR 149

4.05

0.1540**-0.0142

178.92

1.2476**

41.8779

50.83

1.4608**

-97.7302**

 

PBR 150

4.12

1.4473

0.1601

174.09

1.3954**

28.3401

67.30

1.5235**

13.3235*

PBR 151

4.21

0.5383

0.3284

161.25

1.3311**

3.9028

61.83

1.6254**

28.6695**

PBR152 4.56

0.4322**

0.4797

164.30

0.2385**

 

291.8677**

57.20

0.4410**

45.6542**

PBR 154

4.43

0.4322**

0.8026

152.83

0.9797

-9.2491

58.45

1.7786**

0.7273

PBR 155

3.45

0.1584**

0.2264

161.08

0.7554**

-2.2517

59.44

0.5065**

16.6675**

PBR 171

5.13

0.9086

0.0137

166.67

0.9678

-6.1832

63.24

1.7871**

-0.5000

PBR 181

4.51

0.7803

0.1524

164.50

0.9952

-6.5321

62.97

0.9800

2.7866

PBR 91

4.93

1.3370

0.3961

155.42

0.8530

5.5949

58.15

1.0715

1.9160

RLM 619

4.32

0.8249

-0.0759

166.92

0.6365**

95.1317**

63.48

0.7077**

-1.5083

Varuna

4.80

1.1848

0.0490

154.17

0.2871**

210.2143**

58.90

0.3816

40.0000**

Kranti

4.53

1.6674**

0.4216

162.83

0.9151

13.9966

58.93

1.1646

54.5319

 

X= 4.421 0.3807

X= 164.3772.465

X= 61.0532.492

 

bi= 1.007 0.506

bi= 1.0050.2510

bi= 1.0808 0.2520

Genotype

Number of pod on main shoot

Oil content percentage

Grain yield per plant (g)

 

X

bi

S-2di

X

bi

S-2di

X

bi

S-2di

PBR 98

38.32

1.1171

-0.9607

37.97

1.0797

-0.2038

0.717

0.2530**

0.0062

PBR 106

40.26

1.3951*

-1.4658

36.61

0.5949

-0.1216

1.023

0.9660

0.0124

PBR 107

36.90

1.5735*

-0.9532

37.57

0.7305

-0.2581

1.104

0.7940

0.0055

PBR 110

40.20

1.1736

-1.2639

36.05

1.5382

-0.1742

1.073

1.7740**

-0.0028

PBR 134

40.88

1.6679**

6.3713

38.54

0.4935

-0.2197

0.804

-0.0028**

0.0513**

PBR 135

41.22

0.7170

33.2829**

37.34

0.4209

1.2889

1.185

1.0730

0.0299**

PBR 136

33.88

1.1585

11.0928

37.55

1.0822

0.2477

0.856

0.2380**

0.1052**

PBR 140

38.31

0.6090*

0.9833

38.10

1.5576

0.3039

1.127

1.6188**

0.0225

PBR 141

33.25

1.1321

6.0029

37.28

0.9935

-0.1795

0.987

2.0780**

0.0686**

PBR 142

33.54

1.6343*

22.7339**

37.92

0.7543

-0.2186

0.942

0.8747

-0.0013

PBR 143

38.44

0.7644

0.1958

39.98

1.1516

0.0525

1.043

1.7886**

0.0062

PBR 144

29.40

0.0941*

29.1190**

40.14

1.3895

0.2303

1.057

1.3685

0.0233

PBR 145

33.82

1.6730*

21.4286**

39.93

1.1304

-0.0445

1.060

1.4797

0.0166

PBR 146

33.45

1.6230**

0.6730

39.82

0.8126

-0.8269

1.080

0.6084

0.0002

PBR 147

32.21

0.5362*

-0.4638

39.28

0.7229

1.3543

1.118

0.9880

0.0180

PBR 148

41.04

0.4337*

-0.5663

38.52

1.4271

-1.5645

1.306

1.2720

0.0629**

PBR 149

37.63

0.7654

-0.2346

36.63

0.6025

0.1135

1.035

0.8460

0.0066

PBR 150

35.10

-0.0523*

-1.0523

35.89

0.5339

1.4304

1.062

1.1212

0.0136

PBR 151

37.89

1.2743

0.2743

37.89

0.5301

-0.2336

1.005

1.5190

0.0058

PBR 152

38.82

0.8328

-0.1672

36.98

1.5343

-0.2576

1.008

2.5070*

-0.0180

PBR 154

35.17

0.9187

-0.0817

38.11

1.5337

-0.0766

1.006

0.1230**

0.0012

PBR 155

37.54

1.2867

0.2862

38.29

1.1827

0.2460

1.159

1.1654

-0.0015

PBR 171

35.92

1.0062

0.0062

38.40

0.5016

0.2871

1.293

1.1257

-0.0006

PBR 91

38.68

1.0429

0.0429

38.31

0.6900

-0.0498

1.205

0.8894

0.0193

RLM 619

37.85

1.1769

0.1769

38.44

1.4179

-0.3251

0.979

1.1449

0.0190

Varuna

35.50

0.6208**-0.3792

38.34

1.3838

-0.0546

0.817

0.9411

0.0282**

 

Kranti

35.04

0.9065

-0.0935

38.33

1.5050

0.6886

0.915

0.6461

0.0205**

 

X= 37.087 1.623

X= 38.080.308

X= 1.0450.067

 

bi= 1.005 0.3425

bi= 0.9961 0.6061

bi= 1.00040.6011

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