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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com rosangela.lacerda@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
01/12/2014 |
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Data da última atualização: |
05/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, M. V. G. B.; SANTOS, D. J. A. dos; BOISON, S. A.; UTSUNOMIYA, A. T. H.; CARMO, A. S.; SONSTEGARD, T. S.; COLE, J. B.; TASSELL, C. P. V. |
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Afiliação: |
MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; DANIEL J. A. DOS SANTOS, UNESP; SOLOMON A. BOISON, University of Natural Resources and Life Sciences, Vienna; ADAM T. H. UTSUNOMIYA, UNESP; ADRIANA S. CARMO; TAD S. SONSTEGARD, USDA, ARS; JOHN B. COLE, USDA, ARS; CURT P. VAN TASSELL, USDA, ARS. |
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Título: |
The development of genomics applied to dairy breeding. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Livestock Science, v. 166, p. 66-75, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
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. |
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Palavras-Chave: |
Genomic selection; SNP. |
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Thesaurus Nal: |
dairy cattle; genomics. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
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100 1 $aSILVA, M. V. G. B.
245 $aThe development of genomics applied to dairy breeding.$h[electronic resource]
260 $c2014
520 $aGenomic 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.
650 $adairy cattle
650 $agenomics
653 $aGenomic selection
653 $aSNP
700 1 $aSANTOS, D. J. A. dos
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700 1 $aCARMO, A. S.
700 1 $aSONSTEGARD, T. S.
700 1 $aCOLE, J. B.
700 1 $aTASSELL, C. P. V.
773 $tLivestock Science$gv. 166, p. 66-75, 2014.
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