Statistical Analysis Of Genotype By Environment Interactions And Grain Yield Stability In Bread Wheat Using Anova And Ammi Models

In agricultural experimentation involving Genotype by Environment interactions, a largernnumber of genotypes are normally tested over a wide range of environments and thernunderlying statistical and genetical theories used to model this system may be ratherrncomplicated. The occurrence of the Genotype by Environment interaction furtherrncomplicates the selection of superior genotypes for a target population of environments.rnIn the absence of Genotype by Environment interaction, the superior genotype in onernenvironment may be regarded as the superior genotype in all, where as the presence ofrnthe Genotype by Environment interaction confirms particular genotypes being superior inrnparticular environments. Therefore, Genotype by Environment interaction plays anrnimportant role in identifying genotypes for high and stable yield. The goal of this studyrnwere to analyze Genotype by Environment interaction and stability of the Ethiopianrnwheat hybrids for grain yield across the target environments, and to observe the pattern ofrngrouping of the genotypes and the environments based on grain yield response of thernhybrids. This study was carried out on the yield performance of 20 bread wheatrngenotypes across 8 environments in Ethiopia for two growing seasons. The experimentalrnlayout was a randomized complete block design with four replications. The combinedrnANOVA (AMMI ANOVA) showed that environments, genotypes and Genotype byrnEnvironment interactions were highly significant (p

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