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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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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: |
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 : 19 | |
| 1. |  | IÑIGUEZ ROJAS, L.; MUELLER, J. P.; FACO, O.; WURZINGER, M.; SÖLKNER, J.; RODRÍGUEZ, T.; SALINAS GONZÁLEZ, H. Limitaciones y sostenibilidad del mejoramiento genético comunitario para pequeños productores en las zonas Áridas de Latinoamérica. In: IÑIGUEZ ROJAS, L. (Ed.). La producción de rumiantes menores en las zonas áridas de Latinoamerica. Brasília, DF: Embrapa: ICARDA: IFAD, 2013. Cap. 23, p. 515-538.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 2. | | SANTOS, D. J.; BOISON, S. A.; UTSUNOMIYA, Y. T.; PEIXOTO, M. G. C. D.; TONHATI, H.; SÖLKNER, J.; SILVA, M. V. G. B. An approach to genomic analysis of longitudinal data using random regression In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: ASAS, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 3. | | MÉSZÁROS, G.; BOISON, S. A.; O'BRIEN, A. M. P.; FERENCAKOVIC, M.; CURIK, I.; SILVA, M. V. G. B.; UTSONOMIYA, Y. T.; GARCIA, J. F.; SÖLKNER, J. Genomic analysis for managing small and endangered populations: a case study in Tyrol Grey cattle. Frontiers in Genetics, v. 6, p. 192-203, 2015. Article 173.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | BOISON, S. A.; SANTOS, D. J. A. dos; GARCIA, J. F.; SÖLKNER, J.; PEIXOTO, M. G. C. D.; SILVA, M. V. G. B. Genomic Evaluation Using 50K and Imputed HD Genotypes in Guzera (Bos indicus) Breed. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 5. | | BOISON, S. A.; NEVES, H. H. R.; O'BRIEN, A. M. P.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; SILVA, M. V. G. B.; SÖLKNER, J.; GARCIA, J. F. Imputation of non-genotyped individuals using genotyped progeny in Nellore, a Bos indicus cattle breed. Livestock Science, v. 166, p. 176-189, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | O'BRIEN, A. M. P.; MÉSZÁROS, G.; UTSUNOMIYA, Y. T.; SONSTEGARD, T. S.; GARCIA, J. F.; TASSEL, C. P. V.; CARVALHEIRO, R.; SILVA, M. V. G. B.; SÖLKNER, J. Linkage disequilibrium levels in Bos indicus and Bos taurus cattle using medium and high density SNP chip data and different minor allele frequency distributions. Livestock Science, v. 166, p. 121-132, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | O'BRIEN, A. M. P.; UTSUNOMIYA, Y. T.; MÉSZÁROS, G.; BICKHART, D. M.; LIU, G. E.; TASSEL, C. P. V.; SONSTEGARD, T. S.; SILVA, M. V. G. B.; GARCIA, J. F.; SÖLKNER, J. Assessing signatures of selection through variation in linkage disequilibrium between taurine and indicine cattle. Genetics Selection Evolution, v. 46, n. 19, 2014. 14 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 4 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | BOISON, S. A.; UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; NEVES, H. H. R.; MÉSZÁROS, G.; CARVALHEIRO, R.; GARCIA, J. F.; SILVA, M. V. G. B.; SÖLKNER, J. Accuracy of genomic predictions for dairy traits in Gyr cattle (Bos indicus) Warsaw: EAAP, 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | MACHADO, M. A.; UTSUNOMIYA, A. T. H.; BOISON, S. A.; SANTOS, D. J. A. dos; UTSUNOMIYA, Y. T.; FONSECA, R. da; SÖLKNER, J.; GARCIA, J. F.; VERNEQUE, R. da S.; SILVA, M. V. G. B. Genome Wide Association Study for Calving Interval in Gyr Dairy Cattle. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | UTSUNOMIYA, A. T. H.; BOISON, S. A.; SANTOS, D. J. A. dos; UTSUNOMIYA, Y. T.; MACHADO, M. A.; VERNEQUE, R. da S.; SÖLKNER, J.; GARCIA, J. F.; FONSECA, R. da; SILVA, M. V. G. B. Genome Wide Scan for Age at First Calving in Gyr Dairy Cattle. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: American Society of Animal Science, 2014. 3 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | BOISON, S. A.; SANTOS, D. J. A.; UTSONOMIYA, A. H. T.; CARVALHEIRO, R.; NEVES, H. H. R.; O'BRIEN, A. M. P.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. Strategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle: Comparison of commercially available SNP chips. Journal of Dairy Science, v. 98, n. 7, p. 4969-4989, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; BOISON, S. A.; UTSUNOMIYA, Y. T.; MILANESI, M.; BICKHART, D. M.; AJMONE-MARSAN, P.; SOLKNER, J.; GARCIA, J. F.; FONSECA, R. da; SILVA, M. V. G. B. Revealing misassembled segments in the bovine reference genome by high resolution linkage disequilibrium scan. BMC Genomics, v. 17, article 705, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | ZAVAREZ, L. B.; UTSUNOMIYA, Y. T.; CARMO, A. S.; NEVES, H. H.; CARVALHEIRO, R.; FERENCAKOVIC, M.; O'BRIEN, A. M. P.; CURIK, I.; COLE, J. B.; TASSELL, C. P. V.; SILVA, M. V. G. B.; SONSTEGARD, T. S.; SÖLKNER, J.; GARCIA, J. F. Assessment of autozygosity in Nellore cows (Bos indicus) through high-density SNP genotypes. Frontiers in Genetics, v. 6, n. 5, p. 286-293, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 14. | | 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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| 15. | | BOISON, S. A.; UTSUNOMIYA, A. T. H.; SANTOS, D. J. A.; NEVES, H. H. R.; CARVALHEIRO, R.; MÉSZÁROS, G.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; VERNEQUE, R. da S.; MACHADO, M. A.; PANETTO, J. C. do C.; GARCIA, J. F.; SÖLKNER, J.; SILVA, M. V. G. B. Accuracy of genomic predictions in Gyr (Bos indicus) dairy cattle. Journal of Dairy Science, v. 100, n. 7, p. 5479-5490, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | UTSUNOMIYA, Y. T.; CARMO, A. S.; NEVES, H. H. R.; CARVALHEIRO, R.; MATOS, M. C.; ZAVAREZ, L. B.; ITO, P. K. R. K.; O'BRIEN, A. M. P.; SOLKNER, J.; PORTO-NETO, L. R.; SCHENKEL, F. S.; McEWAN, J.; COLE, J. B.; SILVA, M. V. G. B.; VAN TASSELL, C. P.; SONSTEGARD, T. S.; GARCIA, J. F. Genome-wide mapping of loci explaining variance in scrotal circumference in Nellore Cattle. Plos One v. 9, n. 2, p. 1-9, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | O'BRIEN, A. M. P.; HÖLLER, D.; BOISON, S. A.; MILANESI, M.; BOMBA, L.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; NEVES, H. H. R.; SILVA, M. V. G. B.; VAN TASSEL, C. P.; SOSTENGARD, T. S.; MÉSZÁROS, G.; AJMONE-MARSAN, P.; GARCIA, J. F.; SÖLKNER, J. Low levels of taurine introgression in the current Brazilian Nelore and Gir indicine cattle populations. Genetics Selection Evolution, v. 47, article 31, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | SÖLKNER, J.; PEREZ O'BRIEN, A. M.; HÖLLER, D.; BOISON, S. A.; MILANESI, M.; BOMBA, L.; UTSUNOMIYA, Y. T.; CARVALHEIRO, R.; NEVES, H. H. R.; SILVA, M. V. G. B.; VAN TASSEL, C. P.; SOSTENGARD, T. S.; MÉSZÁROS, G.; AJMONE-MARSAN, P.; GARCIA, J. F. Zebuines kerngenom und taurine Mitochondrien: admixtur von Nelore, der größten brasilianischen rinderrasse. Nova Acta Leopoldina, NF 119, n. 404, p. 69-75, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 5 |
| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 19 | |
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