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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
29/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, F. R. F.; NASCIMENTO, M.; CECON, P. R.; CRUZ, C. D.; SILVA, F. F. e; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; MARQUES, D. B. D.; SILVA, M. V. G. B.; CARNEIRO, A. P. S.; PAIXAO, D. M. |
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Afiliação: |
Universidade Federal do Piauí; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; A.C.C. NASCIMENTO, Universidade Federal de Viçosa; Universidade Federal de Viçosa; D.B.D. MARQUES, Universidade Federal de Viçosa; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; A.P.S. CARNEIRO, Universidade Federal de Viçosa; Universidade de São Paulo. |
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Título: |
Genomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 20, n. 1, gmr18691, 2021. |
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DOI: |
http://dx.doi.org/10.4238/gmr18691 |
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Idioma: |
Inglês |
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Conteúdo: |
Knowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables. MenosKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology a... Mostrar Tudo |
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Palavras-Chave: |
Previsão genômica. |
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Thesagro: |
Bovino; Curva de Lactação; Gado Leiteiro. |
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Thesaurus Nal: |
Genome; Girolando; Heritability. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225151/1/Genomic-prediction.pdf
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Marc: |
LEADER 02711naa a2200337 a 4500
001 2133535
005 2021-12-29
008 2021 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr18691$2DOI
100 1 $aTEIXEIRA, F. R. F.
245 $aGenomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models.$h[electronic resource]
260 $c2021
520 $aKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables.
650 $aGenome
650 $aGirolando
650 $aHeritability
650 $aBovino
650 $aCurva de Lactação
650 $aGado Leiteiro
653 $aPrevisão genômica
700 1 $aNASCIMENTO, M.
700 1 $aCECON, P. R.
700 1 $aCRUZ, C. D.
700 1 $aSILVA, F. F. e
700 1 $aNASCIMENTO, A. C. C.
700 1 $aAZEVEDO, C. F.
700 1 $aMARQUES, D. B. D.
700 1 $aSILVA, M. V. G. B.
700 1 $aCARNEIRO, A. P. S.
700 1 $aPAIXAO, D. M.
773 $tGenetics and Molecular Research$gv. 20, n. 1, gmr18691, 2021.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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| 4. |  | MELO, G. W. B. de. Adubação e calagem. In: NACHTIGAL, J. C.; MAZZAROLO, A. (Ed.). Uva: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa Informação Tecnológica; Bento Gonçalves: Embrapa Uva e Vinho, 2008. p. 73-84. (Coleção 500 perguntas, 500 respostas).| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 5. | | MELO, G. W. B. de. Adubação e calagem. In: ANTUNES, L. E. C.; HOFFMANN, A. (Ed.). Pequenas frutas: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa, 2012. p. 77-86. il. (Coleção 500 perguntas, 500 respostas).| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 12. | | MELO, G. W. B. de. Solos e nutrição. In: HOFFMANN, A.; SILVEIRA, S. V. da; GARRIDO, L. da R. (Ed.). Boas práticas agrícolas na viticultura: manejo do solo e da água. Brasília, DF: SEBRAE; Bento Gonçalves: Embrapa Uva e Vinho: IBRAVIN, 2011. p. 11-20. (Boas Práticas Agrícolas - BPA; Uva para processamento, 2). Programa de Desenvolvimento da Cadeia Produtiva de Vinhos, Espumantes e Sucos de Uva - PAS.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 14. | | MELO, G. W. B. de. O perigo do excesso de adubação da videira. Embrapa Uva e Vinho, Bento Gonçalves, 2006. Artigo de mídia disponibilizado no site da Embrapa Uva e Vinho (http://www.cnpuv.embrapa.br/publica/artigos)
MELO, G. W. B. de. O perigo do excesso de adubação da videira. Toda Fruta. Disponível em: ....| Biblioteca(s): Embrapa Uva e Vinho. |
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| 18. | | MELO, G. W. B. de; BRUNETTO, G. Adubação e manejo do solo. IN: HOFFMANN, A.; SILVEIRA, S. V. da; GARRIDO, L. da R.; (Ed.). Produção integrada de uva para processamento: fertilidade e manejo do solo e da água. Brasília, DF: Embrapa, 2015. v. 2, cap. 1, p. 8-15.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Uva e Vinho. |
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| 19. | | MELO, G. W. B. de; BRUNETTO, G. Adubação e manejo do solo. IN: HOFFMANN, A.; SILVEIRA, S. V. da; GARRIDO, L. da R. (Ed.). Produção integrada de uva para processamento: fertilidade e manejo do solo e da água. Brasília, DF: Embrapa, 2015. v. 2, cap. 1, p. 9-16.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Uva e Vinho. |
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