Abstract
Univariate and multivariate analyses have been routinely used to discriminate genotypes in breeding programs, but their relationship is not always considered. The objective of this study was to relate univariate and multivariate analyses on the dissimilarity among common bean accessions based on characteristics such as days until emergence, plant height, first pod insertion height, harvest days, final stand, number of pods per plant, pod length, 100-grain weight, grain yield and seed length, width and thickness. Data were submitted to univariate analysis of variance, with a comparison of means by the Scott-Knott test, and multivariate analysis to estimate the genetic divergence based on the generalized Mahalanobis distance, grouping the accesses through Tocher’s method. The relative importance of the characters was also estimated by Singh's method, performing the multicollinearity diagnosis. There was a significant difference for all the evaluated characteristics, showing the existence of variability between the accesses. The greater variability found was related to seed characteristics. It was possible to relate univariate and multivariate analyses, since there was a relationship between the groups generated by Scott-Knott’s test and the percentage of the relative contribution of the evaluated characters. However, the clustering obtained in the univariate analysis for the characteristic that contributed the most to the divergence between the accessions was not compatible with the cluster generated by Tocher’s method. The coupled use of these analyses can help breeders to decide, choosing superior genotypes and that present wide genetic divergence, mainly for the characteristics of greater interest.
Highlights
Univariate and multivariate analyses have been routinely used to discriminate genotypes in breeding programs, but their relationship is not always considered
The objective of this study was to relate univariate and multivariate analyses on the dissimilarity among common bean accessions based on characteristics such as days until emergence, plant height, first pod insertion height, harvest days, final stand, number of pods per plant, pod length, 100-grain weight, grain yield and seed length, width and thickness
Data were submitted to univariate analysis of variance, with a comparison of means by the Scott-Knott test, and multivariate analysis to estimate the genetic divergence based on the generalized Mahalanobis distance, grouping the accesses through Tocher’s method
Summary
O estudo foi conduzido na safra de 2014/2015 na Fazenda Experimental da Universidade Federal de Santa Catarina, no município de Curitibanos, SC (27°16’S e 50°30’ W), com altitude de 987 metros. Os dados obtidos foram formados pela avaliação de 20 acessos de feijão provenientes do Banco Ativo de Germoplasma da Embrapa Arroz e Feijão (Tabela 1). A unidade experimental consistiu de uma linha de um metro, espaçada em 0,50 metros, com densidade de oito sementes por metro linear. CATAPATTI et al (2008) observaram que pequenas amostras podem ser adotadas sem alteração da precisão experimental, já quanto maior o número de repetições, houve aumento de caracteres significativos, possibilitando a detecção de pequenas diferenças entre os genótipos avaliados. Com base no experimento desenvolvido por RIBEIRO et al (2001) para a cultura do feijão, a não utilização de bordaduras nas unidades experimentais, não reduziu a precisão na comparação de genótipos. Acessos do Banco Ativo de Germoplasma da Embrapa Arroz e Feijão. Accesses of the Embrapa Germplasm Active Bank of Rice and Beans
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