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dc.contributor.authorSilva, Marcos V. B.-
dc.contributor.authorSantos, Daniel Jordan de Abreu-
dc.contributor.authorBoison, Solomon A.-
dc.contributor.authorUtsunomiya, Adam Taiti Harth-
dc.contributor.authorCarmo, Adriana S.-
dc.contributor.authorSonstegard, Tad S.-
dc.contributor.authorCole, John B.-
dc.contributor.authorVan Tassell, Curt P.-
dc.date.accessioned2015-03-18T15:53:39Z-
dc.date.accessioned2016-10-25T20:25:17Z-
dc.date.available2015-03-18T15:53:39Z-
dc.date.available2016-10-25T20:25:17Z-
dc.date.issued2014-08-01-
dc.identifierhttp://dx.doi.org/10.1016/j.livsci.2014.05.017-
dc.identifier.citationLivestock Science. Amsterdam: Elsevier Science Bv, v. 166, p. 66-75, 2014.-
dc.identifier.issn1871-1413-
dc.identifier.urihttp://hdl.handle.net/11449/116644-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/116644-
dc.description.abstractGenomic selection (GS) has profoundly changed dairy cattle breeding in the last decade and can be defined as the use of genomic breeding values (GEBV) in selection programs. The GEBV is the sum of the effects of dense DNA markers across the whole genome, capturing all the quantitative trait loci (QTL) that contribute to variation in a trait. This technology was successfully implemented in the United States, Canada, New Zealand, Australia, and several European countries with very promising results. The GEBV reliability depends on estimation procedures and models. The different methodologies to estimate SNP effects and GEBV have been extensively tested for many research groups with very promising results. Although GS is a success, many challenges still remain, including integration of GEBV into genetic evaluation programs and increasing GEBV reliability. The aim of this review is to discuss the main aspects involved with GS, including different methodologies of imputation, SNP effect estimation, and the most important impacts of GS implementation in dairy cattle. (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipEmbrapa - SEG-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)-
dc.description.sponsorshipUSDA Agricultural Research Service-
dc.format.extent66-75-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectDairy cattleen
dc.subjectGenomicsen
dc.subjectSNPen
dc.subjectGenomic selectionen
dc.titleThe development of genomics applied to dairy breedingen
dc.typeoutro-
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniv Nat Resources & Life Sci-
dc.contributor.institutionUSDA-
dc.description.affiliationEmpresa Brasileira Pesquisa Agr, Embrapa Gado Leite, BR-36038330 Juiz De Fora, MG, Brazil-
dc.description.affiliationUniv Estadual Paulista UNESP, BR-14884900 Jaboticabal, SP, Brazil-
dc.description.affiliationUniv Nat Resources & Life Sci, A-1180 Vienna, Austria-
dc.description.affiliationUSDA, ARS, Anim Genom & Improvement Lab, Beltsville, MD 20705 USA-
dc.description.affiliationUnespUniv Estadual Paulista UNESP, BR-14884900 Jaboticabal, SP, Brazil-
dc.description.sponsorshipIdEmbrapa - SEG02.09.07.008.00.00-
dc.description.sponsorshipIdCNPq: PVE 407246/2013-4-
dc.description.sponsorshipIdFAPEMIG: CVZ PPM 00325/12-
dc.description.sponsorshipIdUSDA Agricultural Research Service1245-31000-101-00-
dc.description.sponsorshipIdUSDA Agricultural Research Service1245-31000-104-00-
dc.identifier.doi10.1016/j.livsci.2014.05.017-
dc.identifier.wosWOS:000340994000010-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofLivestock Science-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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