Grain yield stability of soybean (<i>Glycine Max</i> (L.) Merrill) for different stability models across diverse environments of Ethiopia

For grain yield stability analysis, genotype by environment interactions are crucial in properly identifying and discriminating between varieties locations. Hence, this experiment was conducted with the objectives to evaluate of soybean using additive main effects multiplicative interaction (AMMI), multi-trait index (MTSI), weighted average absolute scores biplot (WAASB), Eberhart Russell regression model, plus (GGE) analysis for genotypes identified stable different agroecologies Ethiopia. Twenty-four were planted at six environments RCBD three replications 2015/2016 cropping season. Stability measures, namely, AMMI, AMMI value, GGE used identify high-yielding across testing environments. AMMI-1 showed Pawe as ideal environment; Bako a favorable Asosa an rest Dimtu, Jimma, Metu unfavorable On other hand, AMMI-2 certain like Prichard, Spry, Delsoy 4710, Croton 3.9 genotypes. most Mega best yielding on each mega revealed model. multivariate statistics study, MTSI, WAASB, models, superior revealed. Through four genotypes, Liu yue mang, SCS-1, Clarck-63k, AFGAT, found be over tested Overall, SCS-1 AGS-7-1 growing recommended production.