| |
|
|
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 21 | |
| 4. |  | VENÂNCIO, A. L.; MILORI, D. M. B. P.; CARDINALI, M. C. B.; FERREIRA, E. J.; FREITAS-ASTÚA, J. Detecção precoce do Greening em citros usando espectroscopia de fluorescência induzida por laser (LIFS). In: JORNADA CIENTÍFICA-EMBRAPA SÃO CARLOS, 2009, São Carlos, SP. Anais... São Carlos: Embrapa Pecuária Sudeste: Embrapa Instrumentação Agropecuária, 2009. p. 46 (Embrapa Pecuária Sudeste. Documentos, 90)| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
|    |
| 6. | | SOUZA, D. L. A. de; VENÂNCIO, A. L.; ZAGHI, A. F.; FUKUI, V. S.; MILORI, D. M. B. P.; MARTIN-NETO, L. Instrumentação para diagnóstico instantâneo de doenças em citros por espectroscopia de fluorescência. In: ENCONTRO NACIONAL DE QUIMICA ANALITICA, 14., 2007, João Pessoa, PB. Resumos... [Rio de Janeiro : ENQA, 2007]. não paginado. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
|  |
| 7. | | MILORI, D. M. B. P.; RAYNAUD, M.; VILLAS-BOAS, P. R.; VENÂNCIO, A. L.; MOUNIER, S.; BASSANEZI, R. B.; REDON, R. Identification of citrus varieties using laser-induced fluorescence spectroscopy (LIFS). Computers and electronics in agriculture, Amsterdam, v. 95, p. 11-18, 2013.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Instrumentação. |
|  |
| 8. | | VENANCIO, A. L.; CARDINALLI, M. C. B.; SILVA, M. F.; MILORI, D. M. B. P.; FERREIRA, E. J.; MARTINS, P. K.; FREITAS-ASTÚA, J. Avaliação da precocidade do diagnóstico do Greening utilizando espectroscopia de fluorescência induzida por laser (LIFS). In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 2., 2010, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação Agropecuária: Embrapa Pecuária Sudeste, 2010. p. 36. (Embrapa Instrumentação Agropecuária. Documentos, 50).| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 9. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; VENANCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; FREITAS-ASTÚA, J. Evaluations of the effects of candidatus liberibacter asiaticus on inoculated citrus plants using laser-induced breakdown spectroscopy and chemometric tools. Citrus research & technology, Cordeirópolis, v. 31, suplemento, p. 95, 2010. Proceedings of the 18 conference international organization citrus virologists, 2010, Campinas. 1CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação; Embrapa Mandioca e Fruticultura. |
| |
| 10. | | CARDINALI, M. C. B.; VENÂNCIO, A. L.; KUBOTA, T. M. K.; MILORI, D. M. B. P.; FERREIRA, E. J.; MARTINS, P. K.; FREITAS-ASTÚA, J. Evaluation of early diagnosis of citrus greening using laser-induced fluorescence spectroscopy. Citrus research & technology, Cordeirópolis, v. 31, suplemento, p. 108, 2010. Proceedings of the 18 conference international organization citrus virologists, 2010, Campinas. 1CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação; Embrapa Mandioca e Fruticultura. |
| |
| 11. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; VENANCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; ASTUA, J. de F. Evaluation of the effects of Candidatus Liberibacter asiaticus on inoculated citrus plants using laser-induced breakdown spectroscopy (LIBS) and chemometrics tools. Talanta, Oxford, v. 83, n. 2, p. 351-356, dez. 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
| |
| 12. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; VENÂNCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; FREITAS-ASTÚA, J. Evaluation of the effects of candidatus liberibacter asiaticus on inoculated citrus plants using laser-induced breakdown spectroscopy (LIBS) and chemometrics tools. Talanta, Oxford, v. 83, p. 351-356, 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 13. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; PEREIRA-FILHO, E. R.; VENÂNCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; FREITAS-ASTÚA, J. Fluorescence images combined to chemometrics for the investigation of plants inoculated with candidatus liberibacter asiaticus In: CHEMOMETRICS IN ANALYTICAL CHEMISTRY - CAC, 12., 2010, Antwerp, Belgium. Book of abstracts... Antwerp: Universiteit Antwerpen, 2010.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 14. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; PEREIRA-FILHO, E. R.; VENANCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; FREITAS-ASTUA, J. Fluorescence images combined to statistic test for fingerprinting of citrus plants after bacterial infection. Analytical methods, [S. l.], v. 3, p. 552-556, 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Instrumentação; Embrapa Mandioca e Fruticultura. |
| |
| 16. | | VENÂNCIO, A. L.; ZAGHI, A. F.; SOUZA, D. L. A. de; FUKUI, V. S.; FERREIRA, E. J.; MILORI, D. M. B. P.; MARTIN-NETO, L. Diferenciação de variedades de citros usando espectroscopia de fluorescência induzida por laser (FIL). In: ENCONTRO NACIONAL DE QUIMICA ANALITICA, 14., 2007, João Pessoa, PB. Resumos... [Rio de Janeiro : ENQA, 2007]. Não paginado. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 17. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; PEREIRA-FILHO, E. R.; VENÂNCIO, A. L.; RUSSO, M. DE S. T.; CARDINALI, M. DO B.; MARTINS, P. K.; ASTUA, J. de F. Laser-induced fluorescence imaging method to monitor citrus greening disease. Computers and Electronics in Agriculture, v. 79, n. 12, p. 90-93, 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
| |
| 18. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; PEREIRA-FILHO, E. R.; VENÂNCIO, A. L.; RUSSO, M. de S. T.; CARDINALI, M. C. do B.; MARTINS, P. K.; FREITAS-ASTUA, J. Laser-induced fluorescence imaging method to monitor citrus greening disease. Computers and Electronics in Agriculture, Amsterdam, v. 79, n. 1, p. 90-93, 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 19. | | SILVA, D. C. P. da; RIBEIRO, P. P. E.; JORGE, L. A. de C.; PAIVA, M. S. V. de; MILORI, D. M. B. P.; GONÇALVES, D. S.; CARVALHO, C. M.; VENÂNCIO, A. L.; PEREIRA, F. M. V. Extração de características para geração de um classificador para detecção precoce do HLB em citros In: WORKSHOP DE VISÃO COMPUTACIONAL, 6., 2010, Presidente Prudente, São Paulo. Anais... Presidente Prudente: FCT/UNESP, 2010.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Instrumentação. |
| |
| 20. | | PEREIRA, F. M. V.; MILORI, D. M. B. P.; CARDINALI, M. C. do B.; BOAS, P. R. V.; VENÂNCIO, A. L.; RUSSO, M. de S. T.; MARTINS, P. K.; ASTUA, J. de F. Métodos analíticos desenvolvidos para o monitoramento da doença citrus greening em laranja doce: imagens de fluorescência e espectroscopia de emissão óptica com plasma induzido por laser (LIBS). São Carlos: Embrapa Instrumentação, 2011. 43 p. il. (Embrapa Instrumentação. Boletim de Pesquisa e Desenvolvimento, 35).| Tipo: Boletim de Pesquisa e Desenvolvimento |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
| |
| Registros recuperados : 21 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
