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Revista fitotecnia mexicana

versión impresa ISSN 0187-7380

Resumen

LOZANO-RAMIREZ, Águeda et al. Modeling genotype X environment interaction in grain yield of white maize hybrids in multiple enviroments. Rev. fitotec. mex [online]. 2015, vol.38, n.4, pp.337-347. ISSN 0187-7380.

Plant breeding programs aimed at obtaining genotypes with high grain yield and stable in a wide range of environmental conditions face environmental factors that mask potential genotypes. The Genotype x Environment interaction (G × E) might cause the suitability of predicted genotypes to a particular environment to be inaccurate. This study modelled the G × E interaction using different statistical models in a group of hybrids of maize (Zea mays L.) evaluated in tropical environments. Twenty-nine white-endosperm hybrids were evaluated in 15 environments of tropical America, with an alpha-lattice design. Grain yield was first analyzed with a combined analysis of variance. Subsequently, the additive main effect and multiplicative interaction (AMMI) and the site regression (SREG) with analytic factors (FA) model were applied to study and model G × E and to define environments that best discriminate genotypes and allow the grouping of environments and genotypes. The AMMI method pointed out a locality from Guatemala, one from México and one from Nicaragua as the ones with highest G × E; generated four mega-environments; and defined the most stable and good-yielding hybrid. The SREG FA method proved a good predictor since it allowed the identification of four subgroups and grouped environments of different countries with similar features.

Palabras llave : Zea mays; G×E; AMMI; SREG FA.

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