Estabilidade e adaptabilidade de genótipos de trigo : uma abordagem com AMMI e GGE Biplot

Abstract

This study utilizes data from the 42nd Elite Selection Wheat Yield Trial conducted by CIMMYT, covering 50 genotypes evaluated in 70 environments across 17 countries, to analyze genotype-environment interaction (G × E) using the AMMI (Additive Main Effects and Multiplicative Interaction) and GGE Biplot (Genotype and Genotype × Environment Interaction) models. The combined application of these models, along with clustering techniques, enables the identification of adaptable and stable genotypes, contributing to the advancement of wheat breeding programs. The models are applied in multi-environment data analysis to optimize the recommendation of cultivars and test environments. While the AMMI model has limitations with unbalanced data and heterogeneous variances, the GGE Biplot model stands out for capturing the main genotypic and G × E effects additively. When used together, these methods provide a robust, reliable, and complementary analysis, facilitating the selection of high-performing and stable genotypes under varying conditions.