Métodos AMMI e GGE no estudo da interação genótipos x ambientes em algodão

Abstract

This study aims to evaluate the effects of genotype x environment interaction by checking adaptability and stability, in addition to the grouping of environments through the AMMI methods (Additive Main effects and Multiplicative Interaction Analysis), GGE Biplot (Genotype and genotypes by Environment Interaction). The data were collected from the breeding program at Embrapa Cotton , referring to 16 cotton genotypes in eight locations (enviroment) in the state of Mato Grosso, Brazil. The analysis of individual and joint variance were carried out, then the analysis of adaptability and stability through the AMMI and GGE Biplot methods. Regarding the proportion of the capture of GE interaction in the first two axes, according to the two methodologies, a small superiority was noted of GGE (72.64%) compared to AMMI analysis (68.28%). The A4 and A6 environments were the main contributors to GE interaction, while the A2 and A3 environment the least influenced by GE interaction in both methods. The G4 genotypes (FMT 701) and G9 (LD CV 05) stood out as the most stable, combining broad adaptation and productivity, followed by G12 (Nuopal), G14 (CNPA MT 04 2080, G15 (CNPA MT 04 in 2088) and G16 (CNPA GO 03 -1947). The GGE methodology proved to be easier to interpret as well as less subjective to provide results than AMMI.