Publicação:
The development of genomics applied to dairy breeding

dc.contributor.authorSilva, Marcos V. B.
dc.contributor.authorSantos, Daniel Jordan de Abreu [UNESP]
dc.contributor.authorBoison, Solomon A.
dc.contributor.authorUtsunomiya, Adam Taiti Harth [UNESP]
dc.contributor.authorCarmo, Adriana S.
dc.contributor.authorSonstegard, Tad S.
dc.contributor.authorCole, John B.
dc.contributor.authorVan Tassell, Curt P.
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.date.accessioned2015-03-18T15:53:39Z
dc.date.available2015-03-18T15:53:39Z
dc.date.issued2014-08-01
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.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.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.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.format.extent66-75
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.doi10.1016/j.livsci.2014.05.017
dc.identifier.issn1871-1413
dc.identifier.urihttp://hdl.handle.net/11449/116644
dc.identifier.wosWOS:000340994000010
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofLivestock Science
dc.relation.ispartofjcr1.204
dc.relation.ispartofsjr0,730
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectDairy cattleen
dc.subjectGenomicsen
dc.subjectSNPen
dc.subjectGenomic selectionen
dc.titleThe development of genomics applied to dairy breedingen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.orcid0000-0003-1242-4401[7]
unesp.author.orcid0000-0002-5362-4832[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
unesp.departmentZootecnia - FCAVpt

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