Genotype x Environment (GxE) interaction studies in hybrids and elite cultivars of pigeonpea

Transcription

1 Genotype x Environment (GxE) interaction studies in hybrids and elite cultivars of pigeonpea Uttam Chand Research Scholar (M.Sc.) Pigeonpea Breeding ICRISAT, Patancheru

2 Contents. I. Introduction II. III. IV. Materials and methods Results and discussion Conclusions

3 INTRODUCTION Often cross pollinated crop (25-70%) Origin : India (van der Maesen 1980, 1991) Genome size : 858 Mbp Chromosome no. : 2n=22 Protein content : % Hybrids available at commercial level like ICPH 2671, ICPH 2740 etc.

4 Productivity Second most Mostly use as important pulse Dal crop of India Global kg/ha India kg/ha Area = 4.04 Million hectare Production = 2.65 Million tonnes (IIPR, 2013)

5 Area, production and productivity (India) Area (m ha) Production (m t) Productivity(t/ha) Source: IIPR, 2013

6 Importance of GxE interaction Wide adaption and consistent performance of released varieties/hybrids To identify the stable genotype in diverse environments Yield stability of performance across varied environments The phenotypic response to change in environment is not the same for all the genotypes leading to GxE interaction

7 Objectives To determine the environmental influence on yield and yield characters of pigeonpea hybrids To determine the flexibility in genotypes to the environment for stability of yield characters To identify the hybrids and cultivars for stability of desirable yield and yield contributing characters To identify the stable pigeonpea hybrid which can be used for cultivation over a wide range of environments

8 Experimental materials CMS line (A 4 cytoplasm) ICPA 2043, ICPA 2047, ICPA 2048, ICPA 2078 and ICPA 2092 Fertility restorer line ICPL 87119, ICPL 20093, ICPL 20096, ICPL 20098, ICPL and ICPL Source : ICRISAT, Patancheru

9 Experimental materials Genotypes Pedigree Standard Maturity days ICPH 3933 ICPA 2078 ICPL ICPH 2671 ICPA 2043 ICPL ICPH 2740 ICPA 2047 ICPL ICPH 3477 ICPA 2047 ICPL ICPH 4490 ICPA 2047 ICPL ICPH 3494 ICPA 2048 ICPL ICPH 2751 ICPA 2048 ICPL ICPH 3491 ICPA 2048 ICPL ICPH 3762 ICPA 2092 ICPL ICPH 3461 ICPA 2092 ICPL Maruti (check) Selection from ICP Asha (check) ICP 1-6W3 W1 x C Source : ICRISAT, Patancheru

10 Details of Three Environments Particulars Location Environments ICRISAT, Patancheru B.A.U., Ranchi R.A.K.,Sehore Latitude 17 o 53'N 23 o 17'N N Longitude 78 o 27'E 85 o 19'E E Altitude m m m Soil type Medium black Sandy soil Vertisol Climatic zone Moderate rainfall zone sub-tropical sub-tropical Date of sowing 29/06/ /07/ /08/2012 Date of harvesting 4/01/ /02/2013 4/02/2013

11 Observations recorded Days to 50% flowering Days to 75% maturity Plant height (cm) Number of primary branches/plant Number of secondary branches/plant Number of pods/plant Number of seeds/pod Grain yield/plant (g) 100 seeds weight (g) Grain yield/plot (g) Grain yield (kg/ha)

12 Experimental details Genotypes : 12 Locations : 03 Design : RCBD Replication : 02 Row length (m) : 04 Row to row spacing (cm) : 75 Plant to plant spacing (cm): 50 No. of rows per plot : 06

13 Data collection Genotypes were grown in RCBD with two replications at three different locations. Data were collected from five randomly selected plants for different characters. Data analysis Data obtained from the multi-location trials were analyzed using GenStat software.

14 Stability analysis Regression method (Eberhart and Russell, 1966) GGE Biplot method (Yan et al., 2000)

15 Eberhart and Russel Model The total variance is first divided into two componentsgenotypes and E+GxE. The second component (E+GxE) is further sub-divided into three components viz. a) environments linear, b) g x e (linear) and c) pooled deviations. The SS due to pooled deviation are further divided in to SS due to individual genotypes. The Model consist of three parameters mean yield over locations or seasons, b) regression coefficient and c) deviation from regression.

16 Parameters for stable genotype Mean = high Regression coefficient of unity (b=1), Minimum deviation from the regression line (S2d=0).

17 GGE biplot method The GGE-biplot methodology consists of two concepts: biplot and GGE It is the graphical representation of the both genotypes mean as well as environments performance More efficient stability method compare to regression method It is latest and very effective tool for the stability analysis

18 Steps in GGE biplot analysis I. Centering the data II. Partitioning the singular value into genotype and environment scores for each of the principal components (PC1 and PC2). III. Plotting the PC1 scores against the PC2 scores to generate a biplot IV.Large PC1 score represents high yielding ability and small PC2 score represents high stability

19 Results and Discussion

20 Pooled analysis of variance (ANOVA) Source of variation df Days to 50% flowering Days to 75% maturity Plant height (cm) Primary branches /plant Secondary branches /plant Genotype ** 3.39** ** 13.69** 12.46** Environment * * ** 30.80** ** G E * 2.28* ** 3.53* 7.14* Error *, ** Significant at P 0.05 and P 0.01, respectively Cont..

21 Source of variation df Pods /plant Seeds/ pod Grain yield / plant (g) 100 seed weight (g) Grain yield (kg/ha) Genotype ** 0.11** ** 8.62** ** Environment ** 0.41** ** 5.58** ** G E ** 0.09** 45.34** ** Error *, ** Significant at P 0.05 and P 0.01, respectively

22 Analysis of variance (ANOVA) by regression method Source of variation df Days to 50% flowering Days to 75% maturity Plant height (cm) Primary branches /plant Secondary branches /plant Genotype ** ** 31.23** 27.35** Environ.+ (G E) Environment (linear) G E (linear) Pooled deviation ** ** ** ** * ** 28.36** 34.36** * ** 6.69* 4.46* Pooled error *, ** Significant at P 0.05 and P 0.01, respectively Cont.

23 Source of variation df Pods / plant Seeds /pod Grain yield /plant (g) 100 seed weight (g) Grain yield (kg/ha) Genotype ** 0.15* ** 1.51** ** Environ.+ (G E) Environment (linear) ** 0.48** ** G E(linear) ** 0.20* * * Pooled deviation ** 0.04* 26.70* * Pooled error *, ** Significant at P 0.05 and P 0.01, respectively

24 Stability parameters Genotypes Days to 50% flowering Days to 75% maturity Plant Height (cm) Mean Bi S 2 di mean bi S 2 di mean Bi S 2 di ICPH ICPH ICPH ICPH * ICPH * ICPH ** ICPH ICPH ICPH ICPH * * Maruti * 3.65 Asha * Mean S.E.(m) ± *, ** Significant at P 0.05 and P 0.01, respectively

25 Stability parameters Genotypes Primary branches /plant Secondary branches/ plant Pods per plant mean bi S 2 di mean bi S 2 di mean Bi S 2 di ICPH * ICPH ICPH ** ICPH ** ICPH ICPH ICPH ICPH ICPH ICPH * ** Maruti Asha ** Mean S.E.(m) ±

26 Stability parameters Seeds/pod Grain yield/plant(g) Genotypes Grain yield (kg/ha) mean bi S 2 di mean bi S 2 di mean bi S 2 di ICPH ** ICPH ICPH ICPH * ICPH * 68.89* ICPH * * ICPH * ICPH ICPH ICPH * * Maruti Asha * Mean S.E.(m) ± *, ** Significant at P 0.05 and P 0.01, respectively

27 GGE biplot figures Days to 50% flowering Days to maturity

28 GGE biplot figures Plant height Primary branches/plant

29 GGE biplot figures Secondary branches/plant Pods/plant

30 GGE biplot figures Seeds/pod Grain yield/plant (g)

31 Grain yield (kg/ha) Grain yield (kg/ha) Grain yield (kg/ha) Grain yield (kg/ha) 2000 Patancheru 2500 Ranchi Sehore Pooled Standard heterosis over the checks

32 Grain yield (kg/ha) Genotypes Standard heterosis over the checks

33 Stable Hybrids Traits Stable genotypes Grain yield (kg/ha) ICPH 2671, ICPH 2740, ICPH 3762, ICPH 4490, ICPH 3491 Days to 50% flowering ICPH 2671, ICPH 3933, ICPH 3494, Days to maturity ICPH 2671, ICPH 3933, ICPH 3762, ICPH 2740, ICPH 3477, ICPH 2751, ICPH 3491, ICPH 3461, Maruti and Asha Plant height (cm) ICPH 2671, ICPH 3933, ICPH 2740, ICPH 3762 ICPH 3477, ICPH 4490, ICPH 3491, Primary branches/plant ICPH 2671, ICPH 4490 Secondary branches /plant ICPH 2740, ICPH 3477, ICPH 4490, ICPH 3494, ICPH 3491 Pods/plant ICPH 2671, ICPH 3933, ICPH 3762, ICPH 2751, ICPH 3461 Seeds/pod ICPH 2671, ICPH 2751, ICPH 3491, ICPH 3762 Grain yield /plant (g) ICPH 2671, ICPH 3933, ICPH 3762, ICPH 2740, ICPH 3477

34 Conclusions In Ranchi, most of the hybrids showed high yield compared to other two locations Patancheru location was suitable for early maturity than the other locations Cont.

35 Stable hybrids ICPH 2671 (8) ICPH 2740, ICPH 3933 and ICPH 3762 (5) Yield traits grain yield (kg/ha), days to 50% flowering, days to 75% maturity, plant height, primary branches, pods/plant, seeds / pod, grain yield/plant grain yield (kg/ha), days to 75% maturity, plant height, pods/plant, grain yield/plant

36 Acknowledgements Dr. K.B. Saxena & team, Pigeonpea Breeding, ICRISAT, Patancheru. Dr. A. N. Tikle, R.A.K. College of Agriculture, Sehore, R.V.S.K.V.V., Gwalior, (Madhya Pradesh). Dr. Abhishek Rathore & team, Biometrics, department, ICRISAT, Patancheru. Dr. Rosana Mula & team, LSU, ICRISAT, Patancheru. Housing & Food serving Committee, ICRISAT, Patancheru.

37 Everything else can wait but not agriculture Thank you! ICRISAT is a member of the CGIAR Consortium