Genotype × Environment Interaction and GGE Biplot Analysis for Grain Yield and Agronomic Traits in Bread Wheat (Triticum aestivum L.)

Abstract

This study aimed to identify high-yielding and stable bread wheat genotypes through genotype × environment interaction analysis using GGE biplot methodology. A total of 160 genotypes were evaluated during the 2023 and 2024 cropping seasons at Dabat and Adet in northwestern Ethiopia using an alpha lattice design with two replications. Significant effects of genotype, environment, and their interactions (p ≤ 0.0001) were observed across all eleven agronomic traits studied. The analysis revealed that genotypes G10, G36, G52, G81, and G28 consistently combined superior grain yield with high stability across environments. Among the test sites, Dabat 2024 emerged as an ideal environment for evaluating grain yield performance. Environmental clustering further delineated two distinct mega-environments, providing valuable insights for breeders in selecting genotypes with either specific or broad adaptation. These findings highlight the utility of GGE biplot analysis in guiding wheat breeding programs toward improved yield stability and targeted genotype deployment.