Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/13809
Título: Análise de componentes principais em caracteres morfológicos de café arábica emestádio juvenil
Título(s) alternativo(s): Principal component analysis on morphological traits in juvenile stage arabica coffee
Autores: Teixeira, Alexsandro Lara
Gonçalves, Flávia Maria Avelar
Rezende, Juliana Costa de
Rocha, Rodrigo Barros
Pereira, Antonio Alves
Palavras-chave: Cafeicultura
Coffea arabica L.
Early selection
Ciências agrárias
Coffee breeding
Café - Melhoramento genético
Data do documento: 2013
Resumo: In plant breeding and selection, it is necessary to evaluate a great number of traits that are naturally associated. Thus, the use of multivariate analysis, such as Principal Component Analysis, can assist data interpretation. The aim of this study was to identify which morphological traits are of greatest importance to discriminate juvenile Coffea arabica genotypes. Cultivars, hybrids and some wild genotypes were evaluated from a coffee genebank maintained by the Empresa de Pesquisa Agropecuária de Minas Gerais, in Patrocínio, MG, Brazil. A randomized block experimental design was used with two replicates, spacing of 3.5 x 0.8 meters and ten plants per plot. The morphological characters were measured at 12 months after the plantation, at the plants juvenile phase. Only the first two major components explained 80.04% of total variance. Among the morphological evaluated traits, the length of the first plagiotropic branch, the plant vitality, the stem diameter and the nodes number of the first plagiotropic branch are the most important variables to discriminate the genotypes. These evaluations are important to the early selection of the genotypes of higher potential allowing to concentrate efforts in their evaluating, discarding other minor traits.
URI: http://repositorio.ufla.br/jspui/handle/1/13809
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/411
Aparece nas coleções:Coffee Science

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