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dc.creatorCancellier, Leandro Lopes-
dc.creatorPires, Luiz Paulo Miranda-
dc.creatorBernardo Júnior, Luiz Antonio Yanes-
dc.creatorResende, Ewerton Lelys-
dc.creatorCancellier, Eduardo Lopes-
dc.creatorVon Pinho, Renzo Garcia-
dc.date.accessioned2019-02-22T18:53:47Z-
dc.date.available2019-02-22T18:53:47Z-
dc.date.issued2016-10-27-
dc.identifier.citationCANCELLIER, L. L. et al. Selection of S0: 2 maize progenies using a mixed-model approach. African Journal of Agricultural Research, [S. l.], v. 11, n. 43, p. 4354-4366, 27 Oct. 2016.pt_BR
dc.identifier.urihttps://academicjournals.org/journal/AJAR/article-abstract/DEA639261391pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/32981-
dc.description.abstractIn breeding programs, obtaining breeding lines was important, and first selfing selection generations is common. In addition, an analytic approach through mixed models can lead to more success in genotype selection because it lends flexibility in analysis of unbalanced data and provides more precise genotypic values in regard to progenies evaluated. The goal of this study was to make early selection (in the S2 generation) of progenies evaluated in top crosses, using a mixed-model approach. Five hundred S2 progenies were plant derived from three populations using selection intensity (40%), which were crossbreeding with three testers. The hybrids obtained, together with control treatments, were set up in five experiments in Brazil: three in Minas Gerais, one in Santa Catarina, and one in Paraná, which evaluated grain yield. The REML method was used for calculation of variance components, and means were predicted through BLUP. The BLUPs of general combining ability (GCA) and specific combining ability (SCA) were also predicted, and the Spearman correlation coefficients among BLUPs were estimated. The dominance effects had a bigger influence on yield expression, as seen from wider amplitude in SCA values. There was an 86% coincidence considering strategy in which selection index was carried out within three populations, in relation to selection by the overall value of GCA. Considering superior hybrids, the progenies of population C exceeded the quantity of hybrids expected by 24.6%, whereas there was a reduction of 30.8% for A and 20% for B. The hybrids that exhibited the highest BLUP means were derived from crosses between progenies of population C together with the tester LE84. The low correlation among testers, both for SCA and for BLUPs, indicates that there is progeny per tester interaction.pt_BR
dc.languageen_USpt_BR
dc.publisherAcademic Journalspt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceAfrican Journal of Agricultural Researchpt_BR
dc.subjectMaize - Genetic improvementpt_BR
dc.subjectGeneral combining abilitypt_BR
dc.subjectSpecific combining abilitypt_BR
dc.subjectMixed modelspt_BR
dc.subjectDevelopment of breeding linespt_BR
dc.subjectMilho - Melhoramento genéticopt_BR
dc.subjectCapacidade geral de combinaçãopt_BR
dc.subjectCapacidade de combinação específicapt_BR
dc.subjectModelos mistospt_BR
dc.subjectDesenvolvimento de linhas de reproduçãopt_BR
dc.titleSelection of S0: 2 maize progenies using a mixed-model approachpt_BR
dc.typeArtigopt_BR
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