Soybean productivity, stability, and adaptability through mixed model methodology

ABSTRACT: The genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties genetic selection. Thus, the present study aimed estimate parameters compare different selection strategies context of mixed models for soybean breeding. For this, data referring evaluation 30 genotypes 10 environments, regarding grain yield trait, were used. variance components estimated through restricted maximum likelihood (REML) genotypic values predicted best linear unbiased prediction (BLUP). Significant effects G×E detected by ratio test (LRT). Low correlation was obtained across indicating complex interaction. selective accuracy very high, high reliability. Our results showed that most productive have adaptability stability.