Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/45370
Registro completo de metadados
Campo DCValorIdioma
dc.creatorMendes, M. P.-
dc.creatorRamalho, M. A. P.-
dc.creatorAbreu, A. F. B.-
dc.date.accessioned2020-11-04T21:09:16Z-
dc.date.available2020-11-04T21:09:16Z-
dc.date.issued2012-
dc.identifier.citationMENDES, M. P.; RAMALHO, M. A. P.; ABREU, A. F. B. Strategies in identifying individuals in a segregant population of common bean and implications of genotype x environment interaction in the success of selection. Genetics and Molecular Research, Ribeirão Preto, v. 11, n. 2, p. 872-880, 2012. DOI: 10.4238/2012.April.10.3.pt_BR
dc.identifier.urihttps://www.geneticsmr.org/articles/strategies-in-identifying-individuals-in-a-segregant-population-of-common-bean-and-implications-of-genotype-x-environmen.pdfpt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/45370-
dc.description.abstractThe objective of this study was to compare the BLUP selection method with different selection strategies in F2:4 and assess the efficiency of this method on the early choice of the best common bean (Phaseolus vulgaris) lines. Fifty-one F2:4 progenies were produced from a cross between the CVIII8511 x RP-26 lines. A randomized block design was used with 20 replications and one-plant field plots. Character data on plant architecture and grain yield were obtained and then the sum of the standardized variables was estimated for simultaneous selection of both traits. Analysis was carried out by mixed models (BLUP) and the least squares method to compare different selection strategies, like mass selection, stratified mass selection and between and within progeny selection. The progenies selected by BLUP were assessed in advanced generations, always selecting the greatest and smallest sum of the standardized variables. Analyses by the least squares method and BLUP procedure ranked the progenies in the same way. The coincidence of the individuals identified by BLUP and between and within progeny selection was high and of the greatest magnitude when BLUP was compared with mass selection. Although BLUP is the best estimator of genotypic value, its efficiency in the response to long term selection is not different from any of the other methods, because it is also unable to predict the future effect of the progenies x environments interaction. It was inferred that selection success will always depend on the most accurate possible progeny assessment and using alternatives to reduce the progenies x environments interaction effect. The objective of this study was to compare the BLUP selection method with different selection strategies in F2:4 and assess the efficiency of this method on the early choice of the best common bean (Phaseolus vulgaris) lines. Fifty-one F2:4 progenies were produced from a cross between the CVIII8511 x RP-26 lines. A randomized block design was used with 20 replications and one-plant field plots. Character data on plant architecture and grain yield were obtained and then the sum of the standardized variables was estimated for simultaneous selection of both traits. Analysis was carried out by mixed models (BLUP) and the least squares method to compare different selection strategies, like mass selection, stratified mass selection and between and within progeny selection. The progenies selected by BLUP were assessed in advanced generations, always selecting the greatest and smallest sum of the standardized variables. Analyses by the least squares method and BLUP procedure ranked the progenies in the same way. The coincidence of the individuals identified by BLUP and between and within progeny selection was high and of the greatest magnitude when BLUP was compared with mass selection. Although BLUP is the best estimator of genotypic value, its efficiency in the response to long term selection is not different from any of the other methods, because it is also unable to predict the future effect of the progenies x environments interaction. It was inferred that selection success will always depend on the most accurate possible progeny assessment and using alternatives to reduce the progenies x environments interaction effect.pt_BR
dc.languageenpt_BR
dc.publisherFundação de Pesquisas Científicas de Ribeirão Preto - FUNPEC-RPpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceGenetics and Molecular Researchpt_BR
dc.subjectPlant breedingpt_BR
dc.subjectGenetic improvementpt_BR
dc.subjectSelection efficiencypt_BR
dc.subjectFeijão - Melhoramento genéticopt_BR
dc.subjectInteração genótipo X ambientept_BR
dc.subjectEficiência de seleçãopt_BR
dc.titleStrategies in identifying individuals in a segregant population of common bean and implications of genotype x environment interaction in the success of selectionpt_BR
dc.typeArtigopt_BR
Aparece nas coleções:DBI - Artigos publicados em periódicos

Arquivos associados a este item:
Não existem arquivos associados a este item.


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.