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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 |
Aparece nas coleções: | Artigos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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artigo.pdf Until 2100-12-31 | Texto completo | 706,02 kB | Adobe PDF | Visualizar/Abrir ACESSO RESTRITO |
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