Multi-environment response in seed yield of soybean [Glycine max (L.) Merrill.], genotypes through GGE Biplot technique

摘要

Multi-environment data of 7 different locations for seed yield of 182 soybean diverse genotypes were analyzed. The objectives were to find out the 1) homogenous groups of similar genotypes and similar environments through cluster analysis 2) genotypic main effects and genotype environment interaction (GGE) in graphic display which make able visual evaluation of both genotypes and environments and 3) performance of genotypic groups across environments and environmental groups over genotypes through biplot. Analysis of variance of seed yield revealed 13.12% genotypic and 47.93% environmental effect. While, partitioning into groups of each genotype, environment and their interaction effects were observed 80.84%, 95.8% and 60.86% respectively. Maximum (means) seed yield 15.94 +0.18g plant-1was observed for Grp-8 followed by Grp-9 with the value of 14.90 +0.97g plant-1while, minimum seed yield 7.53 +0.48g was observed for Grp-10. The fusion level of 7 environments revealed 3 location (Islamabad, Mingora and Mansehra) in main group A and 4 locations (Faisalabad, Quetta, Gilgit and Tandojam) were in main group B. Fifteen genotypic groups derived from 182 genotypes have 3 main groups A, B and C. Genotypic group having large distance from origin has a large genotype plus interaction as Grp-9 and Grp-3. Coordination of three dimensions biplot for any one G or E showed small angle for similar type and large for dissimilar to each other, while larger projection of a genotypic group on an environment vector has more and this genotypic group deviates from the average in the environment.