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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
04/06/2014 |
Data da última atualização: |
06/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
NEVES, H. H.; CARVALHEIRO, R.; O'BRIEN, A. M.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; SCHENKEL, F. S.; SÖLKNER, J.; MCEWAN, J. C.; VAN TASSELL, C. P.; COLE, J. B.; SILVA, M. V. G. B.; QUEIROZ, S. A.; SONSTEGARD, T. S.; GARCIA, J. F. |
Afiliação: |
Haroldo HR Neves; Roberto Carvalheiro; Ana M Pérez O'Brien; Yuri T Utsunomiya; Adriana S. do Carmo; Flávio S Schenkel; Johann Sölkner; John C McEwan; Curtis P Van Tassell; John B Cole; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; Sandra A Queiroz; Tad S Sonstegard; José Fernando Garcia. |
Título: |
Accuracy of genomic predictions in Bos indicus (Nellore) cattle. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Genetics Selection Evolution, v. 46, article 17, 2014. |
DOI: |
https://doi.org/10.1186/1297-9686-46-17 |
Idioma: |
Inglês |
Conteúdo: |
Background- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and fertility in this breed. We present the first results of the implementation of genomic prediction in a Bos indicus (Nellore) population. Methods - Influential bulls were genotyped with the Illumina Bovine HD chip in order to assess genomic predictive ability for weight and carcass traits, gestation length, scrotal circumference and two selection indices. 685 samples and 320 238 single nucleotide polymorphisms (SNPs) were used in the analyses. A forward-prediction scheme was adopted to predict the genomic breeding values (DGV). In the training step, the estimated breeding values (EBV) of bulls were deregressed (dEBV) and used as pseudo-phenotypes to estimate marker effects using four methods: genomic BLUP with or without a residual polygenic effect (GBLUP20 and GBLUP0, respectively), a mixture model (Bayes C) and Bayesian LASSO (BLASSO). Empirical accuracies of the resulting genomic predictions were assessed based on the correlation between DGV and dEBV for the testing group. Results - Accuracies of genomic predictions ranged from 0.17 (navel at weaning) to 0.74 (finishing precocity). Across traits, Bayesian regression models (Bayes C and BLASSO) were more accurate than GBLUP. The average empirical accuracies were 0.39 (GBLUP0), 0.40 (GBLUP20) and 0.44 (Bayes C and BLASSO). Bayes C and BLASSO tended to produce deflated predictions (i.e. slope of the regression of dEBV on DGV greater than 1). Further analyses suggested that higher-than-expected accuracies were observed for traits for which EBV means differed significantly between two breeding subgroups that were identified in a principal component analysis based on genomic relationships. Conclusions -Bayesian regression models are of interest for future applications of genomic selection in this population, but further improvements are needed to reduce deflation of their predictions. Recurrent updates of the training population would be required to enable accurate prediction of the genetic merit of young animals. The technical feasibility of applying genomic prediction in a Bos indicus (Nellore) population was demonstrated. Further research is needed to permit cost-effective selection decisions using genomic information. MenosBackground- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and fertility in this breed. We present the first results of the implementation of genomic prediction in a Bos indicus (Nellore) population. Methods - Influential bulls were genotyped with the Illumina Bovine HD chip in order to assess genomic predictive ability for weight and carcass traits, gestation length, scrotal circumference and two selection indices. 685 samples and 320 238 single nucleotide polymorphisms (SNPs) were used in the analyses. A forward-prediction scheme was adopted to predict the genomic breeding values (DGV). In the training step, the estimated breeding values (EBV) of bulls were deregressed (dEBV) and used as pseudo-phenotypes to estimate marker effects using four methods: genomic BLUP with or without a residual polygenic effect (GBLUP20 and GBLUP0, respectively), a mixture model (Bayes C) and Bayesian LASSO (BLASSO). Empirical accuracies of the resulting genomic predictions were assessed based on the correlation between DGV and dEBV for the testing group. Results - Accuracies of genomic predictions ranged from 0.17 (navel at weaning) to 0.74 (finishing precocity). Across traits, Bayesian regression models (Bayes C and BLASSO) were more accurate than GBLUP. The average empirical accuracies were 0.39 (GBLUP0), 0.40 (GBLUP20) and 0.44 (Bayes ... Mostrar Tudo |
Palavras-Chave: |
Genomic selection; Nellore cattle. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/116427/1/Cnpgl-2014-Genetics-Selection-Evolution-Accuracy-of-genomic.pdf
|
Marc: |
LEADER 03329naa a2200313 a 4500 001 1987574 005 2024-02-06 008 2014 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1186/1297-9686-46-17$2DOI 100 1 $aNEVES, H. H. 245 $aAccuracy of genomic predictions in Bos indicus (Nellore) cattle.$h[electronic resource] 260 $c2014 520 $aBackground- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and fertility in this breed. We present the first results of the implementation of genomic prediction in a Bos indicus (Nellore) population. Methods - Influential bulls were genotyped with the Illumina Bovine HD chip in order to assess genomic predictive ability for weight and carcass traits, gestation length, scrotal circumference and two selection indices. 685 samples and 320 238 single nucleotide polymorphisms (SNPs) were used in the analyses. A forward-prediction scheme was adopted to predict the genomic breeding values (DGV). In the training step, the estimated breeding values (EBV) of bulls were deregressed (dEBV) and used as pseudo-phenotypes to estimate marker effects using four methods: genomic BLUP with or without a residual polygenic effect (GBLUP20 and GBLUP0, respectively), a mixture model (Bayes C) and Bayesian LASSO (BLASSO). Empirical accuracies of the resulting genomic predictions were assessed based on the correlation between DGV and dEBV for the testing group. Results - Accuracies of genomic predictions ranged from 0.17 (navel at weaning) to 0.74 (finishing precocity). Across traits, Bayesian regression models (Bayes C and BLASSO) were more accurate than GBLUP. The average empirical accuracies were 0.39 (GBLUP0), 0.40 (GBLUP20) and 0.44 (Bayes C and BLASSO). Bayes C and BLASSO tended to produce deflated predictions (i.e. slope of the regression of dEBV on DGV greater than 1). Further analyses suggested that higher-than-expected accuracies were observed for traits for which EBV means differed significantly between two breeding subgroups that were identified in a principal component analysis based on genomic relationships. Conclusions -Bayesian regression models are of interest for future applications of genomic selection in this population, but further improvements are needed to reduce deflation of their predictions. Recurrent updates of the training population would be required to enable accurate prediction of the genetic merit of young animals. The technical feasibility of applying genomic prediction in a Bos indicus (Nellore) population was demonstrated. Further research is needed to permit cost-effective selection decisions using genomic information. 653 $aGenomic selection 653 $aNellore cattle 700 1 $aCARVALHEIRO, R. 700 1 $aO'BRIEN, A. M. 700 1 $aUTSUNOMIYA, Y. T. 700 1 $aCARMO, A. S. do 700 1 $aSCHENKEL, F. S. 700 1 $aSÖLKNER, J. 700 1 $aMCEWAN, J. C. 700 1 $aVAN TASSELL, C. P. 700 1 $aCOLE, J. B. 700 1 $aSILVA, M. V. G. B. 700 1 $aQUEIROZ, S. A. 700 1 $aSONSTEGARD, T. S. 700 1 $aGARCIA, J. F. 773 $tGenetics Selection Evolution$gv. 46, article 17, 2014.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registros recuperados : 17 | |
5. | | BARROZO, D.; BERNARID JÚNIOR, N.; HATA, M. E.; SOLAR DIAZ, I, de P.; MATTAR, M.; THOLON, P.; QUEIROZ, S. A. Estimação de herdabilidade para peso corporal em ovinos Santa Inês. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 21., 2011, Maceió. Inovações tecnológicas e mercado consumidor. Anais.... Maceió: ABZ, 2011. 3 p.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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6. | | BARROZO, D.; MATTAR, M.; THOLON, P.; OLIVEIRA, J. A. de; SCALEZ, D. C. B.; QUEIROZ, S. A. de. Genetic and environmental effects on scores of conformation, precocity and muscling in long yearling Nellore cattle Semina: Ciências Agrárias, Londrina, v. 36, n. 6, suplemento 2, p. 4447-4456, 2015.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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7. | | THOLON, P.; MENDES, A. R. A.; LIMA, P. de O.; PAIVA, R. D. M.; BARROZO, D.; QUEIROZ, S. A. de. Estimativas de efeitos ambientais sobre parâmetros da curva de crescimento em bovinos da raça Santa Gertrudis Arquivos Latinoamericanos de Produção Animal, v. 19, supl. 1, p. 455, Oct. 2011.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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8. | | GONÇALVES, J. N. dos S.; SCARPATI, M. T. V.; NARDON, R. F.; PAREDES, M. A. R.; ALENCAR, M. M. de; QUEIROZ, S. A. de. Avaliação da fertilidade real e da capacidade mais provável de fertilidade real de matrizes de um rebanho da Raça Nelore. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 33., 1996, Fortaleza, CE. Anais... Fortaleza: SBZ, 1996. p. 368-369.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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9. | | CERON MUNOZ, M. G.; SILVA, A. M. da; MELLO, S. de P.; ALENCAR, M. M. de; QUEIROZ, S. A. de; CRUZ, G. M. D. Influência do grupo genético sobre o crescimento pré-desmama de bovinos cruzados Blonde D'aquitaine x Nelore. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 35., 1998, Botucatu, SP. Anais... Botucatu: SBZ, 1998. p.419-421. Resumo expandido.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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10. | | FARIA, L. C.; QUEIROZ, S. A.; VOZZI, P. A.; LÔBO, L. A.; BEZERRA, L. A. F.; MAGNABOSCO, C. de U.; OLIVEIRA, E. J. A. Estudo genético quantitativo de características de crescimento de bovinos da raça Brahman no Brasil. Ars Veterinaria, Jaboticabal, v. 27, n. 1, p. 30-35, 2011.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
Biblioteca(s): Embrapa Cerrados. |
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11. | | MUNIZ, C. A. de S. D.; DIAS, A. S. C.; ALENCAR, M. M. de; QUEIROZ, S. A. de; VIU, M. A. de O. Estudo da capacidade mais provável de produção do peso a desmama de vacas de um rebanho Nelore. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 33., 1996, Fortaleza, CE. Anais... Fortaleza: SBZ, 1996. p. 170-172.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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12. | | THOLON, P.; RIBEIRO, A. R. B.; MAFFEI, W. E.; MARCONDES, C. R.; MUSSATO, V. C.; SCALEZ, D. C. B.; QUEIROZ, S. A. de. Estimativas de parâmetros genéticos para características de temperamento em gado Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto, SP. Anais... Sertãozinho: SBMA, 2017. p. 1-3.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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13. | | FARIA, L. C. de; QUEIROZ, S. A. de; VOZZI, P. A.; LÔBO, R. B.; MAGNABOSCO, C. de U.; OLIVEIRA, J. A. de. Variabilidade genética da raça Brahman no Brasil detectada por meio de análise de pedigree. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 10, p. 1133-1140, nov. 2010 Título em inglês: Genetic variability detection in Brahman cattle in Brazil trough pedigree analysis.Biblioteca(s): Embrapa Unidades Centrais. |
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14. | | FARIA, L. C. de; QUEIROZ, S. A. de; VOZZI, P. A.; LÔBO, R. B.; MAGNABOSCO, C. de U.; OLIVEIRA, J. A. de. Variabilidade genética da raça Brahman no Brasil detectada por meio de análise de pedigree. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 10, p. 1133-1140, out. 2010. p. 1133-1140Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Cerrados. |
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15. | | BUZANSKAS, M. E.; SAVEGNAGO, R. P.; GROSSI, D. A.; VENTURINI, G. C.; QUEIROZ, S. A.; SILVA, L. O. C. da; TORRES JUNIOR, R. A. de A.; MUNARI, D. P.; ALENCAR, M. M. de. Genetic parameter estimates and principal component analysis of breeding values of reproduction and growth traits in female Canchim cattle. Reproduction, Fertility and Development, 7 p. Aug. 2012. http://dx.doi.org/10.1071/RD12132.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
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16. | | ORTIZ PENA, C. D.; CAMPOS, F. P. de; FEITOSA, J. V.; QUEIROZ, S. A. de; ALENCAR, M. M. de; ROCHA, J. C. M. C.; SIQUEIRA, R. P. G.; HELLMEISTER FILHO, P.; ROCHA, C. E. Estimativas de herdabilidade do perímetro escrotal, peso corporal e suas relações em tourinhos da raça Nelore no Paraguai. In: REUNIÃO DA SOCIEDADE BRASILEIRA DE ZOOTECNICA, 35., 1998, Botucatu, SP. Anais...Botucatu: SBZ, 1998. p.365-367. Resumo expandido.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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17. | | NEVES, H. H.; CARVALHEIRO, R.; O'BRIEN, A. M.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; SCHENKEL, F. S.; SÖLKNER, J.; MCEWAN, J. C.; VAN TASSELL, C. P.; COLE, J. B.; SILVA, M. V. G. B.; QUEIROZ, S. A.; SONSTEGARD, T. S.; GARCIA, J. F. Accuracy of genomic predictions in Bos indicus (Nellore) cattle. Genetics Selection Evolution, v. 46, article 17, 2014.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 4 |
Biblioteca(s): Embrapa Gado de Leite. |
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Registros recuperados : 17 | |
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