Melhor predição linear não viesada (BLUP) na seleção dentro de progênies não endógamas de espécies anuais

• Ano de defesa: 2009
• Autor(a) principal: Almeida, ísis Fernanda de
• Orientador(a): Viana, José Marcelo Soriano
• Banca de defesa: Resende, Marcos Deon Vilela de , Regazzi, Adair José , Bonomo, Paulo , Miranda, Glauco Vieira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Genética e Melhoramento
• Departamento: Genética animal; Genética molecular e de microrganismos; Genética quantitativa; Genética vegetal; Me
• País: BR
• Palavras-chave em Português: BLUP
• Palavras-chave em Inglês: BLUP
• Área do conhecimento CNPq: CNPQ::CIENCIAS BIOLOGICAS::GENETICA::GENETICA QUANTITATIVA
• Link de acesso: http://locus.ufv.br/handle/123456789/4708

The Best Linear Unbiased Prediction (BLUP) became the most employed methodology in the genetic evaluation of animals and perennial species, with special relevance for annual species. The objective of this work was to evaluate this methodology in the selection inside non-endogamous families, in recurring selection programs. The animal model was adjusted. The data were phenotypical values of plants in the recombination lots of two to three selection cycles in the population of the popcorn maize Viçosa. The production and expansion capacity were measured in each plant. The SAS software system was used in the analyses by means of the inbreed and mixed procedures. There was a reduction in the genetic variability related to the CE and the production with the selection cycles. The additive values predicted by BLUP/REML were more accurate than the phenotypical values. The multi-generation analysis was more accurate than the analysis by generation only in relation to the CE. These two methods provided highly correlated additive values. However, the percentage of coincidence among the individuals selected reveals a difference between the BLUP methods. In the population structured into families of half-brothers, the most efficient breeding method was the massal selection. In the population structured into families with full brothers, the selection inside progenies stood out.