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| 12. |  | ALVES, M. S.; BIGNARDI, A. B; MENEZES, G. R. de O. Efeito da interação genótipo-ambiente sobre idade ao primeiro parto de bovinos compostos. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 10., 2014, Campo Grande, MS. [Anais da..]. Campo Grande, MS: Embrapa Gado de Corte, 2014. p. 70-71. 2 p. (Embrapa Gado de Corte. Documentos, 208). Comissão organizadora: Grácia Maria Soares Rosinha, Alexandra Rocha de Oliveir, Rodrigo Carvalho Alva.| Biblioteca(s): Embrapa Gado de Corte. |
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| 14. | | MENEZES, G. R. de O.; TORRES JUNIOR, R. A. de A. Uso do cruzamento em gado de corte: o sucesso passa pela seleção. In: MENEZES, G. R. de O.; NOBRE, P. R. C.; TORRES JUNIOR, R. A. de A.; GONDO, A.; SILVA, L. O. C. da; SILVA, L. N. (Ed.). Sumário Senepol 2015: Sumário de touros Senepol Geneplus-Embrapa. Brasília, DF: Embrapa, 2015. 1 p.| Biblioteca(s): Embrapa Gado de Corte. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Corte. Para informações adicionais entre em contato com cnpgc.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Gado de Corte. |
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Data corrente: |
13/10/2017 |
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Data da última atualização: |
18/12/2017 |
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Tipo da produção científica: |
Nota Técnica/Nota Científica |
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Autoria: |
OLIVEIRA, L. T. de; BONAFÉ, C. M.; SIVA, F. F. e; VENTURA, H. T.; OLIVEIRA, H. R. de; MENEZES, G. R. de O.; RESENDE, M. D. V. de; VIANA, J. M. S. |
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Afiliação: |
Lorena Tavares de Oliveira, Department of Animal Science/Universidade Federal dos Vales do Jequitinhonha e Mucuri; Cristina Moreira Bonafé, Department of Animal Science/Universidade Federal dos Vales do Jequitinhonha e Mucuri; Fabyano Fonseca e Silva, Department of Animal Science/Universidade Federal de Viçosa; Henrique Torres Ventura, ABCZ, Associação Brasileira dos Criadores de Zebu; Hinayah Rojas de Oliveira, Department of Animal Science/Universidade Federal de Viçosa; GILBERTO ROMEIRO DE OLIVEIRA MENEZES, CNPGC; MARCOS DEON VILELA DE RESENDE, CNPF; José Marcelo Soriano Viana, Department of General Biology/Universidade Federal de Viçosa. |
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Título: |
Bayesian random regression threshold models for genetic evaluation of pregnancy probability in Red Sindhi heifers. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Livestock Science, v. 202, p. 166-170, August, 2017. |
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DOI: |
10.1016/j.livsci.2017.06.005 |
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Idioma: |
Inglês |
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Notas: |
Short communication |
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Conteúdo: |
We proposed a Bayesian random regression threshold model for genetic evaluation of pregnancy probability (PP) in Red Sindhi heifers over different months. Since this breed was recently introduced in Brazil, the age of 14 months usually preconized for Nellore cattle may not reflect the reality of the fertility indicator. In this context, the pregnancy success was evaluated at other ages aiming to understand its genetic variability pattern over time. A total of 4828 phenotyped heifers belong to 657 contemporary groups were used for the analysis. The estimated connectedness was equal to 99.75% considering 6189 individuals in the final pedigree. The random regression threshold models were implemented by combining second, third and fourth order Legendre polynomials to describe the average, the additive genetic and the permanent environmental curves. Additionally, the heterogeneity of the residual variance was also tested here. Based on DIC (deviance information criterion) and posterior model probabilities, the fourth order Legendre polynomials (LEG_4441) for the average, the additive genetic and the permanent environmental effects, assuming homogeneity of the residual variance, outperformed the simplest models. Thus, the fitting quality compensated the increased in the model complexity. The negative genetic correlations between PP at 15 months with PP at latter months indicates that rankings of animals for selection would be few similar in advanced ages. The high values for heritability (varying from 0.32 to 0.45) suggest that PP, mainly until 19 months, can be used as selection criterion for reproductive female performance in breeding programs for Red Sindhi cattle in Brazil. These practical results were only obtained due to the
advantages of the proposed random regression threshold models to describe PP over different months. MenosWe proposed a Bayesian random regression threshold model for genetic evaluation of pregnancy probability (PP) in Red Sindhi heifers over different months. Since this breed was recently introduced in Brazil, the age of 14 months usually preconized for Nellore cattle may not reflect the reality of the fertility indicator. In this context, the pregnancy success was evaluated at other ages aiming to understand its genetic variability pattern over time. A total of 4828 phenotyped heifers belong to 657 contemporary groups were used for the analysis. The estimated connectedness was equal to 99.75% considering 6189 individuals in the final pedigree. The random regression threshold models were implemented by combining second, third and fourth order Legendre polynomials to describe the average, the additive genetic and the permanent environmental curves. Additionally, the heterogeneity of the residual variance was also tested here. Based on DIC (deviance information criterion) and posterior model probabilities, the fourth order Legendre polynomials (LEG_4441) for the average, the additive genetic and the permanent environmental effects, assuming homogeneity of the residual variance, outperformed the simplest models. Thus, the fitting quality compensated the increased in the model complexity. The negative genetic correlations between PP at 15 months with PP at latter months indicates that rankings of animals for selection would be few similar in advanced ages. The high values for herit... Mostrar Tudo |
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Palavras-Chave: |
Heifer pregnancy; Legendre polynomials. |
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Thesagro: |
Bos indicus; Gado nelore; Novilho; Prenhez. |
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Thesaurus NAL: |
Genetic heterogeneity; Pedigree; Zebu. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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Marc: |
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024 7 $a10.1016/j.livsci.2017.06.005$2DOI
100 1 $aOLIVEIRA, L. T. de
245 $aBayesian random regression threshold models for genetic evaluation of pregnancy probability in Red Sindhi heifers.$h[electronic resource]
260 $c2017
500 $aShort communication
520 $aWe proposed a Bayesian random regression threshold model for genetic evaluation of pregnancy probability (PP) in Red Sindhi heifers over different months. Since this breed was recently introduced in Brazil, the age of 14 months usually preconized for Nellore cattle may not reflect the reality of the fertility indicator. In this context, the pregnancy success was evaluated at other ages aiming to understand its genetic variability pattern over time. A total of 4828 phenotyped heifers belong to 657 contemporary groups were used for the analysis. The estimated connectedness was equal to 99.75% considering 6189 individuals in the final pedigree. The random regression threshold models were implemented by combining second, third and fourth order Legendre polynomials to describe the average, the additive genetic and the permanent environmental curves. Additionally, the heterogeneity of the residual variance was also tested here. Based on DIC (deviance information criterion) and posterior model probabilities, the fourth order Legendre polynomials (LEG_4441) for the average, the additive genetic and the permanent environmental effects, assuming homogeneity of the residual variance, outperformed the simplest models. Thus, the fitting quality compensated the increased in the model complexity. The negative genetic correlations between PP at 15 months with PP at latter months indicates that rankings of animals for selection would be few similar in advanced ages. The high values for heritability (varying from 0.32 to 0.45) suggest that PP, mainly until 19 months, can be used as selection criterion for reproductive female performance in breeding programs for Red Sindhi cattle in Brazil. These practical results were only obtained due to the advantages of the proposed random regression threshold models to describe PP over different months.
650 $aGenetic heterogeneity
650 $aPedigree
650 $aZebu
650 $aBos indicus
650 $aGado nelore
650 $aNovilho
650 $aPrenhez
653 $aHeifer pregnancy
653 $aLegendre polynomials
700 1 $aBONAFÉ, C. M.
700 1 $aSIVA, F. F. e
700 1 $aVENTURA, H. T.
700 1 $aOLIVEIRA, H. R. de
700 1 $aMENEZES, G. R. de O.
700 1 $aRESENDE, M. D. V. de
700 1 $aVIANA, J. M. S.
773 $tLivestock Science$gv. 202, p. 166-170, August, 2017.
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