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| 43. |  | BARBIERI, F. S.; BRITO, L. G.; BARROS-BATTESTI, D.; LABRUNA, M. B.; CAMARGO, L. M. A. Descrição morfológica da larva de Amblyomma pacae Aragão, 1911 (ACARI: IXODIDAE) através de microscopia óptica e eletrônica de varredura. In: CONGRESSO BRASILEIRO DE PARASIOTOLOGIA VETERINÁRIA, 14.; SIMPOSIO LATINO-AMERICANO DE RICKETTSIOSES, 2., 2006, Ribeirão Preto. Programa e resumos. Ribeirão Preto: CBPV, 2006. v. 1. p. 205.| Biblioteca(s): Embrapa Rondônia. |
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| 44. | | BRITO, L. G.; BARBIERI, F. da S.; OLIVEIRA, M. C. de S. Controle da tristeza parasitária bovina em rebanhos leiteiros da Amazônia Sul Ociental. In: CONGRESSO INTERNACIONAL DO LEITE, 12.; WORKSHOP DE POLÍTICAS PÚBLICAS, 12.; SIMPÓSIO DE SUSTENTABILIDADE DA ATIVIDADE LEITEIRA, 13., 2013, Porto Velho. Anais... Brasília, DF: Embrapa, 2013. 3p. 1 CD-ROM.| Biblioteca(s): Embrapa Rondônia. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
10/08/2021 |
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Data da última atualização: |
10/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, H. T.; LOPES, P. S.; COSTA, C. N.; SILVA, F. F.; SILVA, D. A.; SILVA, A. A.; THOMPSON, G.; CARVALHEIRA, J. |
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Afiliação: |
Universidade Federal de Viçosa; Universidade Federal de Viçosa; CLAUDIO NAPOLIS COSTA, CNPGL; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; GERTRUDE THOMPSON, Universidade do Porto; JÚLIO CARVALHEIRA, Universidade do Porto. |
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Título: |
Autoregressive repeatability model for genetic evaluation of longitudinal reproductive traits in dairy cattle. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Journal of Dairy Research, v. 87, p. 37-44, 2021. |
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DOI: |
https://doi.org/10.1017/S0022029919000931 |
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Idioma: |
Inglês |
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Conteúdo: |
We investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two models. Overall, the proposed AR model was suitable for genetic evaluations of longitudinal reproductive traits in dairy cattle, outperforming the REP model. MenosWe investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two m... Mostrar Tudo |
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Palavras-Chave: |
Desempenho reprodutivo; Holstein cattle; Model evaluation. |
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Thesagro: |
Bovino; Fertilidade; Gado Holandês; Reprodução Animal. |
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Thesaurus NAL: |
Autocorrelation; Reproductive performance. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02624naa a2200325 a 4500
001 2133403
005 2021-08-10
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/S0022029919000931$2DOI
100 1 $aSILVA, H. T.
245 $aAutoregressive repeatability model for genetic evaluation of longitudinal reproductive traits in dairy cattle.$h[electronic resource]
260 $c2021
520 $aWe investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two models. Overall, the proposed AR model was suitable for genetic evaluations of longitudinal reproductive traits in dairy cattle, outperforming the REP model.
650 $aAutocorrelation
650 $aReproductive performance
650 $aBovino
650 $aFertilidade
650 $aGado Holandês
650 $aReprodução Animal
653 $aDesempenho reprodutivo
653 $aHolstein cattle
653 $aModel evaluation
700 1 $aLOPES, P. S.
700 1 $aCOSTA, C. N.
700 1 $aSILVA, F. F.
700 1 $aSILVA, D. A.
700 1 $aSILVA, A. A.
700 1 $aTHOMPSON, G.
700 1 $aCARVALHEIRA, J.
773 $tJournal of Dairy Research$gv. 87, p. 37-44, 2021.
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