ABSTRACT
Aim: The present investigation was conducted to approximate the magnitude of genotype × environment interaction effects in mungbean crop and to identify suitable genotypes for northern hilly terrain of India. Methodology: Thirty one promising mungbean genotypes were evaluated in three diverse environments, viz., Srinagar, Berthin and Imphal of northern hilly terrains of India. The individual genotype was planted in 5 rows of 4m length in 3 replications in randomized block design. The statistical analysis was done for Additive Main effect and Multiplicative Interaction (AMMI) and genotype main effect plus genotype-by-environment interaction (GGE) biplots analysis. Results: ANOVA devised that the genotypes, environment and genotype × environment interactions were significant for grain yield. The first two principal components, PC1 and PC2 described 73.65 and 26.35 percent variations, respectively, of total variation. According to AMMI I, the genotypes such as Pant M 6, RMG 1092, TMB 134, CoGG 13-19, KM 2349, DGG-8, TRCM 87-6-2-1, KM 2241 and MDGGv-16 were highly stable genotypes. GGE biplot analysis revealed that Pant M 6 and TMB 134 as winning genotypes for Berthin while NMK 15-12 and MDGGV-16 were the best genotypes for Srinagar. The genotypes IPM 14-7 and GAM 5 were found best for Imphal. Overall, high yield and most stable genotype was DGG-8 for northern hilly terrains of India. Interpretation: GGE biplot and AMMI approach could be instrumental in appraising the genotypes performance in multi-environments/locations testing for efficient selection of the stable genotypes.