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| Registros recuperados : 23 | |
| 2. |  | PICCOLI, M. L.; BRACINNI NETO, J.; CARDOSO, F. F.; SARGOLZAEI, M.; SCHENKEL, F. S. Accuracy of genotype imputation with different low density panels in Braford and Hereford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 5. | | CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL. F. S.; URBINATI, I.; CARVALHEIRO, R.; REGITANO, L. C. de A.; MARCONDES, C. R.; MINARI, D. P. Accuracy of genotype imputation in Canchim cattle using FImpute and Beagle software., In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[ s.n.], 2013. AB.20.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 6. | | BUZANSKAS, M. E.; GROSSI, D. A.; REGITANO, L. C. de A.; SCHENKEL, F. S.; ALENCAR, M. M. de; MUNARI, D. P. Associações genômicas para perímetro escrotal ao desmame em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Belo Horizonte: SBMA, 2013. 3 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 7. | | GROSSI, D. A.; GRUPIONI, N. V.; BUZANSKAS, M. E.; SCHENKEL, F. S.; REGITANO, L. C. de A.; PAZ, C. C. P.; ALENCAR, M. M. de; MUNARI, D. Association of polymorphisms in the IGF1, GH and PIT1 genes with growth and reproductive traits in Canchim cattle In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 9., 2010, Leipzig. Proceedings... Leipzig: German Society fo Animal Science, 2010. 1 CD-ROM| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 8. | | PICCOLI, M. L.; BRITO, L. F.; BRACCINI, J.; BRITO, F. V.; CARDOSO, F. F.; COBUCI, J. A.; SARGOLZAEI, M.; SCHENKEL, F. S. A comprehensive comparison between single- and two-step GBLUP methods in a simulated beef cattle population. Canadian Journal of Animal Science, v. 98, n. 3, p. 565-575, Sept. 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 9. | | BUZANSKAS, M. E.; VENTURA, R. V.; REGITANO, L. C. de A.; SCHENKEL, F. S.; ALENCAR, M. M. de; MUNARI, D. P. Estudo de associações genômicas para idade ao primeiro e segundo parto em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Belo Horizonte: SBMA, 2013. 3 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 10. | | CRUZ, V. A. R. da; IBELLI, A. M. G.; SAVEGNAGO, R. P.; NASCIMENTO, G. B.; SARGOLZAEI, M.; SCHENKEL. F. S.; LEDUR, M. C.; PEIXOTO, J. de O.; MUNARI, D. P. Association of the adiponectin receptor 1 gene with bone integrity traits in a paternal broiler line. In: REUNIÃO ANNUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 51, 2014, Barra dos Coqueiros. Anais ... Barra dos Coqueiros: SBZ, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 11. | | CRUZ, V. A. R. da; SCHENKEL, F. S.; SAVEGNAGO, R. P.; GRUPIONI, N. V.; STAFUZZA, N. B.; SARGOZAEL, M.; IBELLI, A. M. G.; PEIXOTO, J. de O.; LEDUR, M. C.; MUNARI, D. P. Association of apolipoprotein B and adiponectin receptor 1 genes with carcass, bone integrity and performance traits in a paternal broiler Line. Plos One, v. 10, n.8, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 12. | | GROSSI, D. do; GRUPIONI, N. V.; BUZANSKAS, M. E.; PAZ, C. C. P. de; REGITANO, L. C. de A.; ALENCAR, M. M. de; SCHENKEL, F. S.; MUNARI, D. P. Allele substitution effects of IGF1, GH and PIT1 markers on estimated breeding values for weight and reproduction traits in Canchim beef cattle. Livestock Science, v. 180, p. 78-83, oct. 2015.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 13. | | GROSSI, D. do A.; BUZANSKAS, M. E.; GRUPIONI, N. V.; PAZ, C. C. P. de; REGITANO, L. C. de A.; ALENCAR, M. M. de; SCHENKEL, F. S.; MUNARI, S. P. Effect of IGF1, GH, and PIT1 markers on the genetic parameters of growth and reproduction traits in Canchim cattle. Molecular Biology Report, v. 42, n. 1, p. 245-251, jan. 2014.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 14. | | BUZANSKAS, M. E.; GROSSI, D. A.; VENTURA, R. V.; CHUD, T. C. S.; URBINATI, I.; MEIRELLES, S. L. C.; MOKRY, F. B.; SCHENKEL, F. S.; REGITANO, L. C. de A.; MUNARI, D. P. Genome-wide association study on long-yearling scrotal circumference in Canchim cattle. In:WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings...Vancouver: WCGALP: Amarican Society of Animal Science, 2014.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 15. | | CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL, F. S.; CARVALHEIRO, R.; BUZANSKAS, M. E.; ROSA, J. O.; MUDADU, M. de A.; SILVA, M. V. G. B.; MARCONDES, C. R.; REGITANO, L. C. de A.; MUNARI, D. P. Strategies for genotype imputation in composite beef cattle BMC Genetics, v. 16, p. 99, 2015. 10 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | 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.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | BUZANSKAS, M. E.; VENTURA, R. V.; CHUD, T. C. S.; SANTOS, D. J. A.; BERNARDES, P. A.; SILVA, T. B. R.; MUDADU, M. A.; REGITANO, L. C. A.; SILVA, M. V. G. B.; LI, C.; SCHENKEL, F. S.; ALENCAR, M. M.; MUNARI, D. P. Admixture analysis in Brazillian synthetic cattle. In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | BUZANSKAS, M. E.; GROSSI, D. do A.; VENTURA, R. V.; SCHENKEL, F. S.; CHUD, T. C. S.; STAFUZZA, N. B.; ROLA, L. D.; MEIRELLES, S. L. C.; MOKRY, F. B.; MUDADU, M. de A.; HIGA, R. H.; SILVA, M. V. G. B.; ALENCAR, M. M. de; REGITANO, L. C. de A.; MUNARI, D. P. Candidate genes for male and female reproductive traits in Canchim beef cattle. Journal of Animal Science and Biotechnology, v. 8, p. 1-10, 2017. Artigo 67. Na publicação: Marcos Vinícius Gualberto Barbosa da Silva.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 19. | | BUZANSKAS, M. E.; GROSSI, D. A.; VENTURA, R. V.; SCHENKEL, F. S.; SARGOLZAEI, M.; MEIRELLES, S. L. C. O; MOKRY, F. B.; HIGA, R. H.; MUDADU, M. de A.; SILVA, M. V. G. B.; NICIURA, S. C. M.; TORRES JUNIOR, R. A. de A.; ALENCAR, M. M. de; REGITANO, L. C. de A.; MUNARI, D. P. Genome-wide association for growth traits in Canchim beef cattle. Plos One, v. 9, n. 4, e94802 2014.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 20. | | UTSUNOMIYA, Y. T.; CARMO, A. S. do; CARVALHEIRO, R.; NEVES, H. H. R.; MATOS, M. C.; ZAVAREZ, L. B.; O'BRIEN, A. M. P.; SÖLKNER, J.; McEWAN, J. C.; COLE, J. B.; TASSEL, C. P. V.; SCHENKEL, F. S.; SILVA, M. V. G. B.; PORTO NETO, L. R.; SONSTEGARD, T. S.; GARCIA, J. F. Genome-wide association study for birth weight in Nellore cattle points to previously described orthologous genes affecting human and bovine height. BMC Genetics, London, v. 14, article 52, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 23 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
04/06/2014 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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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. |
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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. |
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Título: |
Accuracy of genomic predictions in Bos indicus (Nellore) cattle. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics Selection Evolution, v. 46, article 17, 2014. |
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DOI: |
https://doi.org/10.1186/1297-9686-46-17 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Genomic selection; Nellore cattle. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/116427/1/Cnpgl-2014-Genetics-Selection-Evolution-Accuracy-of-genomic.pdf
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Marc: |
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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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Embrapa Gado de Leite (CNPGL) |
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