Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1011131
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dc.contributor.authorVIANA, J. M. S.pt_BR
dc.contributor.authorMUNDIM, G. B.pt_BR
dc.contributor.authorDELIMA, R. Opt_BR
dc.contributor.authorSILVA, F. F. E.pt_BR
dc.contributor.authorRESENDE, M. D. V. dept_BR
dc.date.accessioned2015-03-11T11:11:11Zpt_BR
dc.date.available2015-03-11T11:11:11Zpt_BR
dc.date.created2015-03-11pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationJournal of Agricultural Science, v. 152, p. 428-438, 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1011131pt_BR
dc.descriptionThe objective of the present study was to present the theory and application of best linear unbiased prediction (BLUP) in reciprocal recurrent selection (RRS). Seven progeny tests from two RRS programmes with popcorn (Zea mays L. ssp. mays [syn. Zea mays L. ssp. everta (Sturtev.) Zhuk.]) populations were conducted and analysed for expansion volume and grain yield. The interpopulation half- and full-sib family models were fitted using ASReml software. Half-sib selection is equivalent to selection for the general combining ability (GCA) of the common parents. With inbred full-sib progeny and BLUP analysis, it is possible to predict the general and specific combining ability effects. The standard error of prediction of the progeny effect was lower than the standard deviation of the best linear unbiased estimation (BLUE) estimate. For half- and full-sib RRS, the BLUE and BLUP provided highly correlated estimates of progeny genotypic values. The coincidence between selected parents ranged from 64 to 95%. With inbred full-sib progeny, the correlations between the BLUE of progeny genotypic values and the BLUP of GCA effects were lower. Consequently, the coincidence between selected parents was lower, ranging from 0 to 57%. The percentage of common selected inbred progeny based on the BLUE and BLUP of the progeny genotypic value ranged from 57 to 100%.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectPipocapt_BR
dc.subjectZea mayapt_BR
dc.subjectEspécie agrícolapt_BR
dc.subjectMelhoramento genéticopt_BR
dc.titleBest linear unbiased prediction for genetic evaluation in reciprocal recurrent selection with popcorn populations.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-07-24T11:11:11Zpt_BR
dc.subject.thesagroMilhopt_BR
dc.subject.thesagroSeleção Recorrentept_BR
riaa.ainfo.id1011131pt_BR
riaa.ainfo.lastupdate2017-07-24pt_BR
dc.identifier.doi10.1017/S0021859613000270pt_BR
dc.contributor.institutionJ M S VIANA, UFV; G. B. MUNDIM, UFV; R. O. DELIMA, UFV; F. F. E. SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPF)

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