Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/23858
Tipo: Artigo
Título: Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy
Autor(es): Alves, Rodrigo Silva
Teodoro, Paulo Eduardo
Peixoto, Leonardo de Azevedo
Silva, Lidiane Aparecida
Laviola, Bruno Galveas
Resende, Marcos Deon Vilela de
Bhering, Leonardo Lopes
Rocha, João Romero do Amaral Santos de Carvalho
Abstract: Despite being a species with great potential for biodiesel production, little research has been done on the breeding of Jatropha curcas, mainly with respect to its yield across harvests. Thus, the present study was carried out to analyze longitudinal data via multiple-trait Best Linear Unbiased Prediction (BLUP) for the genetic improvement of Jatropha curcas. The experiment was set up as a randomized block design with two blocks and five plants per plot. The seed yield of 730 individuals of 73 half-sib families was evaluated over six years. Variance components and genetic parameters were estimated via Restricted Maximum Likelihood (REML). The Additive Index was used for ranking and selection purposes. Genetic correlations of low to moderate magnitude were observed between pairs of harvests. The Multiple-trait BLUP / Additive Index procedure allowed for the selection of superior families based on the predicted genetic values, considering all the harvests. Therefore, it can be efficiently applied in the breeding of Jatropha curcas.
Palavras-chave: Mixed model methodology
Repeated measures
Selection index
Genetic selection
Biofuel
Editor: Industrial Crops and Products
Tipo de Acesso: Elsevier B. V.
URI: https://doi.org/10.1016/j.indcrop.2018.12.019
http://www.locus.ufv.br/handle/123456789/23858
Data do documento: Abr-2019
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