Genotype × Environment Interaction and Regression-based Stability of Yield, Phenology and Component Traits in Groundnut (Arachis hypogaea L.)
Jyoti Sankhala *
Department of Genetics and Plant Breeding, Rajasthan College of Agriculture, MPUAT, Udaipur-313001, Rajasthan, India.
P. B. Singh
Department of Genetics & Plant Breeding, Rajasthan College of Agriculture, MPUAT, Udaipur-313001, Rajasthan, India.
R. B. Dubey
Department of Genetics and Plant Breeding, Rajasthan College of Agriculture, MPUAT, Udaipur-313001, Rajasthan, India.
Hemlata Sharma
Department of Genetics and Plant Breeding, Rajasthan College of Agriculture, MPUAT, Udaipur-313001, Rajasthan, India.
Devendra Jain
Department of Molecular Biology and Biotechnology, Rajasthan College of Agriculture, MPUAT, Udaipur- 313001, Rajasthan, India.
L. N. Mahawer
Department of Horticulture, Rajasthan College of Agriculture, MPUAT, Udaipur-313001, Rajasthan, India.
Abhay Dashora
Department of Genetics & Plant Breeding, Rajasthan College of Agriculture, MPUAT, Udaipur-313001, Rajasthan, India.
Sarita Choudhary
Department of Genetics & Plant Breeding, Rajasthan College of Agriculture, MPUAT, Udaipur-313001, Rajasthan, India.
*Author to whom correspondence should be addressed.
Abstract
Genotype × environment (G×E) interaction complicates the selection of groundnut genotypes that combine high performance with predictable response across production environments. The present study evaluated 64 groundnut genotypes, including four standard checks (PM-3, GJG-32, JL-501 and GG-7), across six location-year environments representing three locations in southern Rajasthan, India (Udaipur, Rajsamand and Chittorgarh), during the Kharif seasons of 2023 and 2024. The trials used an augmented block design with six blocks per environment. Adjusted genotype means for days to 50% flowering, days to maturity, dry pod yield per plant, kernel yield per plant, dry haulm yield per plant and 100-kernel weight were evaluated using the Eberhart and Russell regression model. Genotypic, environment-linear and G×E-linear effects were significant for all six traits, while the E + (G×E) component was significant for all except dry haulm yield. Based on the regression coefficient, PI-879, PI-903, PI-97 and PI-204, which exhibited broad responses across multiple traits. These genotypes may serve as promising parental lines in groundnut breeding programmes aimed at improving yield stability and broad adaptation, with their potential further validated through multilocation trials.
Keywords: Adaptability, augmented design, environmental index, Eberhart-Russell model, genotype × environment interaction, groundnut, stability analysis