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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/116644
Title: 
The development of genomics applied to dairy breeding
Author(s): 
Institution: 
  • Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
  • Universidade Estadual Paulista (UNESP)
  • Univ Nat Resources & Life Sci
  • USDA
ISSN: 
1871-1413
Sponsorship: 
  • Embrapa - SEG
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
  • Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
  • USDA Agricultural Research Service
Sponsorship Process Number: 
  • Embrapa - SEG02.09.07.008.00.00
  • CNPq: PVE 407246/2013-4
  • FAPEMIG: CVZ PPM 00325/12
  • USDA Agricultural Research Service1245-31000-101-00
  • USDA Agricultural Research Service1245-31000-104-00
Abstract: 
Genomic 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.
Issue Date: 
1-Aug-2014
Citation: 
Livestock Science. Amsterdam: Elsevier Science Bv, v. 166, p. 66-75, 2014.
Time Duration: 
66-75
Publisher: 
Elsevier B.V.
Keywords: 
  • Dairy cattle
  • Genomics
  • SNP
  • Genomic selection
Source: 
http://dx.doi.org/10.1016/j.livsci.2014.05.017
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/116644
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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