Título
Modelación de la interacción genotipo x ambiente en rendimiento de hibridos de maiz blanco en ambientes múltiples
Autor
Amalio Santacruz-Varela
Jose Crossa
Juan Burgueño
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
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.
Fecha de publicación
2015
Tipo de publicación
Artículo
Recurso de información
Formato
application/pdf
Idioma
Español
Audiencia
Investigadores
Repositorio Orígen
Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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