Métodos estadísticos multivariados en el estudio de la interacción genotipo ambiente en caña de azúcar
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Abstract
The objective of this paper was to apply different multivariate statistical analysis, (cluster analysis, model of main effects additives and multiplicative interaction (AMMI), regression analysis of sites (GGE) and principal coordinates analysis (ACA)), to compare their utility and efficiency in the study of the genotype-environment interaction (GE) in sugarcane cultivars. Performance data of eighteen cultivars evaluated at four locations, in the Eastern South region of Cuba, was used in this study. The experimental design used in each trial was a randomized complete block. The evaluated variable was tons of cane per hectare. Analysis of variance showed that effects of genotype, environment and GE were highly significant. Cluster analysis discriminated between four locations, while the GGE method only generated three groups of environments. The biplot indicated that there were similar results between the AMMI and GGE model. The scatter point diagrams obtained from ACA analysis, however, revealed only limited agreement with the results obtained by the AMMI and GGE model. The G+GE captured by AMMI (50.2 %) and GGE (77.0 %) were both more adequate than ACA analysis in quantifying environment and genotype effects.
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