Os métodos biplot e escalonamento multidimensional nos delineamentos experimentais / The Biplot Methods and Multidimensional Scaling in experimental designs

AUTOR(ES)
DATA DE PUBLICAÇÃO

2010

RESUMO

The objective of this study was to evaluate statistical methods of analysis of the interaction of genotypes with environments (G × A), emphasizing the adaptability and stability phenotype. The variables studied were production and soluble solids contents (SST) Melon Galia type, testing 9 genotypes in 12 environments. The experiment was conducted in a randomized block with 3 replications, it was done at Pole Agroindustrial Mossor´o-Assu in Rio Grande do Norte. The performance of cultivars was analyzed by using analysis of variance, methods of adaptability and stability. It carried out the analysis for the production and soluble solids, using the methodologies AMMI (Additive Main Effects and Multiplicative Interaction) and SREG (Sites Regression), graphing simultaneously the genotypes and environments through the AMMI Biplot graphs, GGE Biplot and trilinear plot. The AMMI analysis has the advantage of studying in detail the structure of the interaction effect, and represents both the scores of the interaction effects for each factor. The analysis SREG, incorporates the effect of genotype and in most cases is highly correlated with the scores of the first principal component, it has the advantage of allowing direct graphical assessment of the effect of genotype. It was also proposed the methodology MDS (Multidimensional Scalling) to check the similarities and dissimilarities between the environments, through a distance matrix, representing geometrically the data in two-dimensional space (Biplot) each variable studied, in wich one can be observed disparities environmental show different characteristics.

ASSUNTO(S)

stability melão. escalonamento multidimensional análise multivariada estabilidade fenótipos multivariate analysis genética interaction g × e adaptability biplot correlação genética e ambiental

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