Legume Research
Web of Science
  • Year: 2025
  • Volume: 48
  • Issue: 2

Seed yield stability assessment of chickpea genotypes through AMMI and bi plot analysis

  • Author:
  • Laxuman1,*, H. Avinalappa2, Sidramappa3, P.H. Kuchanur4, K. Shiva Kumar5, G. Ashok Kumar6
  • Total Page Count: 6
  • Page Number: 218 to 223

1Zonal Agricultural Research Station, Kalaburagi-585 101, Karnataka, India

2Crop Improvement-Chickpea Breeding, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad- 502 324, Telangana, India

3Agricultural Research Station, Bidar-585 401, Karnataka, India

4Collage of Agriculture, Bheemarayanagudi-585 287, Karnataka, India

5Main Agricultural Research Station, Rachur-584 104, Karnataka, India

6Agricultural Research Station, Sirguppa-583 121, Karnataka, India

*Corresponding Author: Laxuman, Zonal Agricultural Research Station, Kalaburagi-585 101, Karnataka, India, Email: laxumanp@gmail.com

Online published on 11 July, 2025.

Abstract

Development of variety with high yield potential is the major objective of crop improvement program, which can be achieved by improving selection efficiency with estimating stability parameters. An elite crosses and popular varieties of twelve chickpea genotypes were evaluated for assess seed yield stability under four designated locations (Kalaburagi, Bidar, Raichur and Sirguppa) during 2019-20.

All the experiments were conducted in randomised complete block design with three replications. The interaction analysis (AMMI ANOVA) indicates large variations for seed yield due to highly significant (p<0.01) environment and genotype, thus the genotypes were diverse with large sum of squares for their seed yield and environment.

The differential response of chickpea genotypes for seed yield across the environments was observed. IPCA1 and IPCA2 together captured 4.27 per cent of the interaction mean squares. JG11 × WR315 (F7)-57 and ICCV 191106 showed higher average yields and adaptable to favourable environments. Based on AMMI bi-plot analysis, genotypes (JG11 × WR315 (F7)-57, JG11) and (JAKI 9218, RGV 203) were stable and unstable respectively. Similarly, best performer genotypes and three mega environments were noticed through the analysis. Environments (Kalaburagi, Sirguppa) were found with most selective for seed yield estimation. In terms of seed yield stability, the genotypes (JG11 × WR315 (F7)-57, JG11 and JG11 × WR315 (F7)-49) were the best among all.

Keywords

Chickpea, Environment, Phenotypic stability, Seed yield