Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1110873
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dc.contributor.authorMARCIANO, L. E. A.pt_BR
dc.contributor.authorMAIA, R. de O. G.pt_BR
dc.contributor.authorSANTOSpt_BR
dc.contributor.authorDUARTE, I. N. H.pt_BR
dc.contributor.authorBERNARDES, P. A.pt_BR
dc.contributor.authorCHUD, T. C. S.pt_BR
dc.contributor.authorREGITANO, L. C. de A.pt_BR
dc.contributor.authorBUZANSKAS, M. E.pt_BR
dc.date.accessioned2019-07-27T00:51:22Z-
dc.date.available2019-07-27T00:51:22Z-
dc.date.created2019-07-26
dc.date.issued2018
dc.identifier.citationIn: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 55.; CONGRESSO BRASILEIRO DE ZOOTECNIA, 28., 2018, Goiânia. Construindo saberes, formando pessoas e transformando a produção animal: anais eletrônicos. Goiânia: Sociedade Brasileira de Zootecnia, 2018.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1110873-
dc.descriptionThe use of genomic tools in animal breeding has been widely applied to improve productivity. Imputation methods could be used to reduce genotyping costs and increase the amount of genomic information, which are needed for various studies. The aim of this study was to consider the Canchim cattle (a composite beef breed) as target population and the Nelore breed as reference population to evaluate the imputation accuracy. A total of 285 Canchim, 114 MA genetic group and 814 Nelore animals were used in this study. Imputation was carried out using the FImpute software and genotype imputation accuracy was measured by concordance rate (CR) and allelic R square (R2). Five imputation scenarios were tested and CR results varied from 64.71% to 89.69%. The R2 varied from 0.63 to 0.91. High accuracy was obtained in the scenario considering Nelore and Canchim as reference population and MA animals as target. Despite of presenting acceptable accuracies, which indicates the possibility of using Nelore genotypes for imputing genetic markers in Canchim and MA animals, other studies should be carried out to evaluate different reference populations to obtain greater accuracies.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectMarcadores molecularespt_BR
dc.subjectRaça compostapt_BR
dc.titleEstratégias de imputação em gado Canchim utilizando população de referência da raça Nelore.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2020-04-07T11:11:11Z
dc.subject.thesagroMelhoramento Genético Animalpt_BR
dc.subject.thesagroReprodução Animalpt_BR
dc.subject.thesagroGado de Cortept_BR
dc.subject.thesagroBovinopt_BR
dc.subject.nalthesaurusAnimal breedingpt_BR
dc.subject.nalthesaurusBeef cattlept_BR
riaa.ainfo.id1110873pt_BR
riaa.ainfo.lastupdate2020-04-07 -03:00:00
dc.contributor.institutionLuany Emanuella Araujo Marciano, UFPB; Ryan de Oliveira Gonçalves MAIA, UFPB; Marta da Silva Santos, UFPB; Igor Nelson Herculano DUARTE, UFPB; Priscila Arrigucci Bernardes, UNESP; Tatiane Cristina Seleguim CHUD, University of Guelph; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Marcos Eli Buzangas, UFPB.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CPPSE)

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