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dc.contributor.authorPICCOLI, M. L.pt_BR
dc.contributor.authorBRITO, L. F.pt_BR
dc.contributor.authorBRACCINI, J.pt_BR
dc.contributor.authorCARDOSO, F. F.pt_BR
dc.contributor.authorSARGOLZAEI, M.pt_BR
dc.contributor.authorSCHENKEL, F. S.pt_BR
dc.date.accessioned2017-08-09T11:11:11Zpt_BR
dc.date.available2017-08-09T11:11:11Zpt_BR
dc.date.created2017-08-09pt_BR
dc.date.issued2017pt_BR
dc.identifier.citationBMC Genetics, v. 18, 18 Jan. 2017.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1073847pt_BR
dc.descriptionGenomic selection (GS) has played an important role in cattle breeding programs. However, genotyping prices are still a challenge for implementation of GS in beef cattle and there is still a lack of information about the use of low-density Single Nucleotide Polymorphisms (SNP) chip panels for genomic predictions in breeds such as Brazilian Braford and Hereford. Therefore, this study investigated the effect of using imputed genotypes in the accuracy of genomic predictions for twenty economically important traits in Brazilian Braford and Hereford beef cattle. Various scenarios composed by different percentages of animals with imputed genotypes and different sizes of the training population were compared.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGenotipagempt_BR
dc.titleGenomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-08-09T11:11:11Zpt_BR
dc.subject.thesagroGado de cortept_BR
dc.subject.thesagroSeleção genótipapt_BR
dc.description.notesArticle 2.pt_BR
riaa.ainfo.id1073847pt_BR
riaa.ainfo.lastupdate2017-08-09pt_BR
dc.contributor.institutionMARIO L. PICCOLI, UFRGS; LUIZ F. BRITO, University of Guelph; JOSÉ BRACCINI, UFRGS; FERNANDO FLORES CARDOSO, CPPSUL; MEHDI SARGOLZAEI, University of Guelph; FLÁVIO S. SCHENKEL, University of Guelph.pt_BR
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