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3. | | OLIVEIRA, I. P. de; BALBINO, L. C.; KLUTHCOUSKI, J.; YOKOYAMA, L. P.; MAGNABOSCO, C. U. Efeito do sulfato de zinco e FTE (BR 12) na recuperação de pastagem degradada pelo sisterma barrerão com o consórcio arroz de terras altas - Brachiaria brizantha. In: REUNIÃO NACIONAL DE PESQUISA DE ARROZ, 6., 1998, Goiânia. Perspectivas para a cultura dos arroz nos ecossistemas de várzeas e terras altas: resumos expandidos. Goiânia: Embrapa-CNPAF, 1998. v. 1. p. 136-139. (Embrapa-CNPAF. Documentos, 85). Biblioteca(s): Embrapa Arroz e Feijão. |
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4. | | BORGES, M.; MAGNABOSCO, C. U.; OLIVEIRA, C. C.; SILVA, D. C.; FARIA, C. U. Estudo dos fatores nao geneticos que influenciam na producao de leite em rebanhos da raca Gir criadas no Estado de Goias. Veterinaria Noticias, v. 5, n. 1, p. 53, 2000. Apresentado na 14. SEMANA CIENTIFICA DE MEDICINA VETERINARIA DA UNIVERSIDADE FEDERAL DE UBERLANDIA, Uberlandia, MG, 2000. Biblioteca(s): Embrapa Cerrados. |
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5. | | FERREIRA, L. B.; CASTRO, L. M. de; LOPES, F. B.; MAGNABOSCO, C. U.; MENDANHA, K. S. Estimativas de (co)variâncias genéticas de características de carcaça e maciez da carne em bovinos Nelore mocho. In: SEMINÁRIO JOVENS TALENTOS, 7., 2013, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2013. p. 38. (Embrapa Arroz e Feijão. Documentos, 292). Pôster - graduação. Biblioteca(s): Embrapa Arroz e Feijão. |
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6. | | FERNANDES, A.; MAGNABOSCO, C. U.; OJALA, M.; CAETANO, A. R.; FAMULA, T. R. Estimativas de parametros geneticos e ambientais de medidas corporais e peso em bovinos da raca Brahman nos tropicos. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 33., 1996, Fortaleza, CE. Anais... Fortaleza: SBZ, 1996. p. 136-138. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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7. | | MAGNABOSCO, C. U.; FAMULA, T. R.; LOBO, R. B.; REYES, A; OJALA, M. Estimativas de parametros geneticos e de ambiente de caracteristicas de crescimento em bovinos da raca Nelore. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 33., 1996, Fortaleza, CE. Anais... Fortaleza: Sociedade Brasileira de Zootecnia, 1996. p.142-144. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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8. | | MAGNABOSCO, C. U.; FAMULA, T. R.; LOBO, R. B.; REYES, A.; OJALA, M. Estimativas de parâmetros genéticos e de ambiente de características de crescimento em bovinos da raça Nelore. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 33., 1996, Fortaleza, CE. Anais... Fortaleza: Sociedade Brasileira de Zootecnia, 1996. p.142-144. Biblioteca(s): Embrapa Cerrados. |
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9. | | OLIVEIRA, I. P. de; BALBINO, L. C.; KLUTHCOUSKI, J.; YOKOYAMA, L. P.; MAGNABOSCO, C. U. Avaliação preliminar da correção e adubação utilizadas no processo de reforma de pastagem pelo Sistema Barreirão com consórcio arroz-brachiaria. In: REUNIÃO NACIONAL DE PESQUISA DE ARROZ, 6., 1998, Goiânia. Perspectivas para a cultura dos arroz nos ecossistemas de várzeas e terras altas: resumos expandidos. Goiânia: Embrapa-CNPAF, 1998. v. 1. p. 132-135. Embrapa-CNPAF. Documentos, 85). Biblioteca(s): Embrapa Arroz e Feijão. |
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10. | | OLIVEIRA, I. P. de; BALBINO, L. C.; KLUTHCOUSKI, J.; YOKOYAMA, L. P.; MAGNABOSCO, C. U. Influência do gesso e do calcário no consórcio arroz - Brachiaria brizantha. In: REUNIÃO NACIONAL DE PESQUISA DE ARROZ, 6., 1998, Goiânia. Perspectivas para a cultura dos arroz nos ecossistemas de várzeas e terras altas: resumos expandidos. Goiânia: Embrapa-CNPAF, 1998. V. 1. P. 128-131. (Embrapa-CNPAF. Documentos, 85). Biblioteca(s): Embrapa Arroz e Feijão. |
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11. | | MAGNABOSCO, C. U.; ARAUJO, F. R. C.; MANICARDI, F.; SAINZ, R. D.; LOS REYES, A. de. Padroes de crescimento e caracteristicas de carcaca de tourinhos Nelore mocho, avaliados por ultra-sonografia em tempo real. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 40., 2003, Santa Maria, RS. Otimizando a producao animal: anais. Santa Maria: SBZ: UFSM, 2003. 1 CD-ROM. Biblioteca(s): Embrapa Cerrados. |
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13. | | MENDANHA, K. S.; MAGNABOSCO, C. U.; LOPES, F. B.; CASTRO, L. M.; FERREIRA, L. G. B. O uso de valores moleculares de características produtivas e reprodutivas para seleção de touros da raça Nelore por meio de análises multivariadas. In: SEMINÁRIO JOVENS TALENTOS, 7., 2013, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2013. p. 39. (Embrapa Arroz e Feijão. Documentos, 292). Pôster - graduação. Biblioteca(s): Embrapa Arroz e Feijão. |
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15. | | SCARPATI, M. T. V.; MAGNABOSCO, C. U.; JOSAHKIAN, L. A.; OLIVEIRA JUNIOR, B. C.; OLIVEIRA, H. N.; LOBO, R. B. Estudo de medidas corporais e peso vivo em animais jovens da raca nelore. In: REUNIAO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 33., 1996, Fortaleza-CE., Anais... Fortaleza: Sociedade Brasileira de Zootecnia, 1996. p.110-112. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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16. | | BRUNES, L. C.; BALDI, F.; NARCISO, M. G.; LOBO, R. B.; ESPIGOLAN, R.; COSTA, M. F. O.; MAGNABOSCO, C. U. Genomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle. Animal. The International Journal of Animal Biosciences, v. 15, 100085, 2021. Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Cerrados. |
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17. | | BRUNES, L. C.; BALDI, F.; COSTA, M. F. O. e; LOBO, R. B.; LOPES, F. B.; MAGNABOSCO, C. U. Genetic-quantitative analysis for reproductive traits in Nellor cattle selected for sexual precocity. Animal Production Science, v. 60, n. 7, p. 896-902, Mar. 2020. Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Cerrados. |
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18. | | SOARES, B. B.; BRUNES, L. C.; BALDI, F.; NARCISO, M. G.; CARMO, A. S. do; MAGNABOSCO, C. U. Associação genética entre escores visuais e características reprodutivas em bovinos Nelore. In: SEMINÁRIO JOVENS TALENTOS, 16., 2022, Santo Antônio de Goiás. Resumos... Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2022. p. 74. Biblioteca(s): Embrapa Cerrados. |
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19. | | SOARES, B. B.; BRUNES, L. C.; BALDI, F.; NARCISO, M. G.; CARMO, A. S. do; MAGNABOSCO, C. U. Associação genética entre escores visuais e características reprodutivas em bovinos Nelore. In: SEMINÁRIO JOVENS TALENTOS, 16., 2022, Santo Antônio de Goiás. Resumos... Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2022. p. 74. Biblioteca(s): Embrapa Arroz e Feijão. |
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20. | | FARIA, C. U.; RIBEIRO, S. C. A.; COSTA, L. R. B.; MAGNABOSCO, C. U.; PEREIRA, C. F. Diagnostico de brucelose bovina, em fazenda de producao leiteira, no municipio de Indianopolis - MG. Veterinaria Noticias, v. 5, n. 1, p. 24, 2000. Apresentado na 14. SEMANA CIENTIFICA DE MEDICINA VETERINARIA DA UNIVERSIDADE FEDERAL DE UBERLANDIA, Uberlandia, MG, 2000. Biblioteca(s): Embrapa Cerrados. |
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Registros recuperados : 42 | |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Cerrados. |
Data corrente: |
07/05/2021 |
Data da última atualização: |
07/05/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BRUNES, L. C.; BALDI, F.; NARCISO, M. G.; LOBO, R. B.; ESPIGOLAN, R.; COSTA, M. F. O.; MAGNABOSCO, C. U. |
Afiliação: |
LUDMILLA C. BRUNES, UFG; FERNANDO BALDI, UNESP, Jaboticabal-SP; MARCELO GONCALVES NARCISO, CNPAF; RAYSILDO B. LOBO, ASSOCIAÇÃO NACIONAL DE CRIADORES, Ribeirão Preto-SP; R. ESPIGOLAN, USP; MARCOS FERNANDO OLIVEIRA E COSTA, CNPAF; CLAUDIO DE ULHOA MAGNABOSCO, CPAC. |
Título: |
Genomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Animal. The International Journal of Animal Biosciences, v. 15, 100085, 2021. |
ISSN: |
1751-7311 |
DOI: |
https://doi.org/10.1016/j.animal.2020.100085 |
Idioma: |
Inglês |
Conteúdo: |
There is a growing interest to improve feed efficiency (FE) traits in cattle. The genomic selection was proposed to improve these traits since they are difficult and expensive to measure. Up to date, there are scarce studies about the implementation of genomic selection for FE traits in indicine cattle under different scenarios of pseudo-phenotypes, models, and validation strategies on a commercial large scale. Thus, the aim was to evaluate the feasibility of genomic selection implementation for FE traits in Nelore cattle applying different models and pseudo-phenotypes under validation strategies. Phenotypic and genotypic information from 4 329 and 3 467 animals were used, respectively, which were tested for residual feed intake, DM intake, feed efficiency, feed conversion ratio, residual BW gain, and residual intake and BW gain. Six prediction methods were used: single-step genomic best linear unbiased prediction, Bayes A, Bayes B, Bayes Cπ, Bayesian least absolute shrinkage and selection operator (BLASSO), and Bayes R. Phenotypes adjusted for fixed effects (Y*), estimated breeding value (EBV), and EBV deregressed (DEBV) were used as pseudo-phenotypes. The validation approaches used were: (1) random: the data was randomly divided into ten subsets and the validation was done in each subset at a time; (2) age: the partition into training and testing sets was based on year of birth and testing animals were born after 2016; and (3) EBV accuracy: the data was split into two groups, being animals with accuracy above 0.45 the training set; and below 0.45 the validation set. In the analyses that used the Y* as pseudo-phenotype, prediction ability (PA) was obtained by dividing the correlation between pseudo-phenotype and genomic EBV (GEBV) by the square root of the heritability of the trait. When EBV and DEBV were used as the pseudo-phenotype, the simple correlation of this quantity with the GEBV was considered as PA. The prediction methods show similar results for PA and bias. The random cross-validation presented higher PA (0.17) than EBV accuracy (0.14) and age (0.13). The PA was higher for Y* than for EBV and DEBV (30.0 and 34.3%, respectively). Random validation presented the highest PA, being indicated for use in populations composed mainly of young animals and traits with few generations of data recording. For high heritability traits, the validation can be done by age, enabling the prediction of the next-generation genetic merit. These results would support breeders to identify genomic approaches that are more viable for genomic prediction for FE-related traits. MenosThere is a growing interest to improve feed efficiency (FE) traits in cattle. The genomic selection was proposed to improve these traits since they are difficult and expensive to measure. Up to date, there are scarce studies about the implementation of genomic selection for FE traits in indicine cattle under different scenarios of pseudo-phenotypes, models, and validation strategies on a commercial large scale. Thus, the aim was to evaluate the feasibility of genomic selection implementation for FE traits in Nelore cattle applying different models and pseudo-phenotypes under validation strategies. Phenotypic and genotypic information from 4 329 and 3 467 animals were used, respectively, which were tested for residual feed intake, DM intake, feed efficiency, feed conversion ratio, residual BW gain, and residual intake and BW gain. Six prediction methods were used: single-step genomic best linear unbiased prediction, Bayes A, Bayes B, Bayes Cπ, Bayesian least absolute shrinkage and selection operator (BLASSO), and Bayes R. Phenotypes adjusted for fixed effects (Y*), estimated breeding value (EBV), and EBV deregressed (DEBV) were used as pseudo-phenotypes. The validation approaches used were: (1) random: the data was randomly divided into ten subsets and the validation was done in each subset at a time; (2) age: the partition into training and testing sets was based on year of birth and testing animals were born after 2016; and (3) EBV accuracy: the data was split into two... Mostrar Tudo |
Palavras-Chave: |
Residual body weight gain; Residual feed intake; Single nucleotide polymorphisms. |
Thesagro: |
Gado Nelore; Gado Zebu; Genética Animal. |
Thesaurus NAL: |
Animal breeding; Feed intake; Genomics; Zebu. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 03682naa a2200337 a 4500 001 2131718 005 2021-05-07 008 2021 bl uuuu u00u1 u #d 022 $a1751-7311 024 7 $ahttps://doi.org/10.1016/j.animal.2020.100085$2DOI 100 1 $aBRUNES, L. C. 245 $aGenomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle.$h[electronic resource] 260 $c2021 520 $aThere is a growing interest to improve feed efficiency (FE) traits in cattle. The genomic selection was proposed to improve these traits since they are difficult and expensive to measure. Up to date, there are scarce studies about the implementation of genomic selection for FE traits in indicine cattle under different scenarios of pseudo-phenotypes, models, and validation strategies on a commercial large scale. Thus, the aim was to evaluate the feasibility of genomic selection implementation for FE traits in Nelore cattle applying different models and pseudo-phenotypes under validation strategies. Phenotypic and genotypic information from 4 329 and 3 467 animals were used, respectively, which were tested for residual feed intake, DM intake, feed efficiency, feed conversion ratio, residual BW gain, and residual intake and BW gain. Six prediction methods were used: single-step genomic best linear unbiased prediction, Bayes A, Bayes B, Bayes Cπ, Bayesian least absolute shrinkage and selection operator (BLASSO), and Bayes R. Phenotypes adjusted for fixed effects (Y*), estimated breeding value (EBV), and EBV deregressed (DEBV) were used as pseudo-phenotypes. The validation approaches used were: (1) random: the data was randomly divided into ten subsets and the validation was done in each subset at a time; (2) age: the partition into training and testing sets was based on year of birth and testing animals were born after 2016; and (3) EBV accuracy: the data was split into two groups, being animals with accuracy above 0.45 the training set; and below 0.45 the validation set. In the analyses that used the Y* as pseudo-phenotype, prediction ability (PA) was obtained by dividing the correlation between pseudo-phenotype and genomic EBV (GEBV) by the square root of the heritability of the trait. When EBV and DEBV were used as the pseudo-phenotype, the simple correlation of this quantity with the GEBV was considered as PA. The prediction methods show similar results for PA and bias. The random cross-validation presented higher PA (0.17) than EBV accuracy (0.14) and age (0.13). The PA was higher for Y* than for EBV and DEBV (30.0 and 34.3%, respectively). Random validation presented the highest PA, being indicated for use in populations composed mainly of young animals and traits with few generations of data recording. For high heritability traits, the validation can be done by age, enabling the prediction of the next-generation genetic merit. These results would support breeders to identify genomic approaches that are more viable for genomic prediction for FE-related traits. 650 $aAnimal breeding 650 $aFeed intake 650 $aGenomics 650 $aZebu 650 $aGado Nelore 650 $aGado Zebu 650 $aGenética Animal 653 $aResidual body weight gain 653 $aResidual feed intake 653 $aSingle nucleotide polymorphisms 700 1 $aBALDI, F. 700 1 $aNARCISO, M. G. 700 1 $aLOBO, R. B. 700 1 $aESPIGOLAN, R. 700 1 $aCOSTA, M. F. O. 700 1 $aMAGNABOSCO, C. U. 773 $tAnimal. The International Journal of Animal Biosciences$gv. 15, 100085, 2021.
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