Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/963390
Título: Computer simulation for the evaluation of recombination strategies in intrapopulation recurrent selection in Eucalyptus.
Autoria: ABREU, G. B.
FERREIRA, D. F.
RAMALHO, M. A. P.
TOLEDO, F. H. R. B.
BUENO FILHO, J. S. de S.
Afiliação: GUILHERME BARBOSA ABREU, CPACP; UFLA; UFLA; ESALQ; UFLA.
Ano de publicação: 2013
Referência: Silvae genetica, v. 62, n.1/2, p. 68-79, 2013.
Páginas: 12 p.
Conteúdo: Intrapopulation recurrent selection (IRS) has proven to be a promising breeding method in eucalyptus, mainly through being easier to carry out when compared to reciprocal recurrent selection (RRS). However, the recombination strategies in IRS that have not yet been compared. Thus, the purpose of this study was to verify the efficiency of different recombination methods in IRS. To do so, computer simulation was used considering different heritabilities (0.1, 0.5, 1.0), different initial allelic frequencies (0.2, 0.8) and allelic interactions without dominance and with complete dominance. The initial population consisted of 1000 individuals, which were selected at random for the beginning of cycle zero. These individuals were interbred two by two. Three selection strategies were carried out and, consequently, three recombination methods: recombine the best individuals selected within the best progenies; the best individuals phenotypically selected regardless of their genealogy; or selection in the mean value of the best progenies selected. It was observed that recombination of the best individuals regardless of their genealogy and of the best individuals within the best progenies provided for gains superior to recombination having only the mean of the progenies as reference. The average degree of dominance and the heritability of the trait should be considered at the time of choosing the method of selection followed by recombination.
Thesagro: Melhoramento vegetal
Seleção
Eucalipto
NAL Thesaurus: Quantitative genetics
Palavras-chave: Genética quantitativa
Estratégia de reprodução
Ganho genético
Método Monte Carlo
Tipo do material: Artigo de periódico
Acesso: openAccess
Aparece nas coleções:Artigo em periódico indexado (CPACP)

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