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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
07/07/2017 |
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Data da última atualização: |
27/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEREZ, B. C.; SILVA, F. F.; BRUNELI, F. A. T.; BALIEIRO, J. C. C.; PEIXOTO, M. G. C. D. |
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Afiliação: |
B. C. Perez, FZEA/USP; F. F. Silva, UFV/VIÇOSA; FRANK ANGELO TOMITA BRUNELI, CNPGL; J. C. C. Balieiro, FMVZ/USP; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL. |
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Título: |
Count Bayesian models for genetic analysis of in vitro embryo production traits in Guzerá cattle. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Animal, Feb. 27, 2017. |
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Páginas: |
9 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Four models for in vitro embryo production traits in Guzerá cattle were compared: Gaussian (untransformed variable ? LIN and transformed in logarithmic scale ? LOG), Poisson (POI) and zero-inflated Poisson (ZIP). Data consisted of 5716 ovum pick-up and in vitro fertilization records performed in 1205 cows from distinct regions of Brazil. Analyzed count traits were the number of viable oocytes (NOV), number of grade I oocytes (NGI), number of degenerated oocytes (NDG), number of cleaved embryos (NCLV) and number of viable produced embryos (NEMB). Heritability varied from 0.17 (LIN) to 0.25 (POI) for NOV; 0.08 (LOG) to 0.18 (ZIP) for NGI; 0.12 (LIN) to 0.20 (POI) for NDG; 0.13 (LIN) to 0.19 (POI) for NCLV; 0.10 (LIN) to 0.20 (POI) for NEMB depending on the considered model. The estimated repeatability varied from 0.53 (LOG) to 0.63 (POI) for NOV; 0.22 (LOG) to 0.39 (ZIP) for NGI; 0.29 (LIN) to 0.42 (ZIP) for NDG; 0.42 (LIN) to 0.59 (POI) for NCLV; 0.36 (LIN) to 0.51 (POI) for NEMB. The goodness of fit, measured by deviance information criterion and mean squared residuals, suggested superiority of POI and ZIP over Gaussian models. Estimated breeding values (EBV) obtained by different models were highly correlated, varying from 0.92 for NOV (between LIN-POI) and 0.99 for NGI (between POI-ZIP). The number of coincident animals on the 10% top EBV showed lower similarities. We recommend POI and ZIP models as the most adequate for genetic analysis of in vitro embryo production traits in Guzerá cattle. MenosFour models for in vitro embryo production traits in Guzerá cattle were compared: Gaussian (untransformed variable ? LIN and transformed in logarithmic scale ? LOG), Poisson (POI) and zero-inflated Poisson (ZIP). Data consisted of 5716 ovum pick-up and in vitro fertilization records performed in 1205 cows from distinct regions of Brazil. Analyzed count traits were the number of viable oocytes (NOV), number of grade I oocytes (NGI), number of degenerated oocytes (NDG), number of cleaved embryos (NCLV) and number of viable produced embryos (NEMB). Heritability varied from 0.17 (LIN) to 0.25 (POI) for NOV; 0.08 (LOG) to 0.18 (ZIP) for NGI; 0.12 (LIN) to 0.20 (POI) for NDG; 0.13 (LIN) to 0.19 (POI) for NCLV; 0.10 (LIN) to 0.20 (POI) for NEMB depending on the considered model. The estimated repeatability varied from 0.53 (LOG) to 0.63 (POI) for NOV; 0.22 (LOG) to 0.39 (ZIP) for NGI; 0.29 (LIN) to 0.42 (ZIP) for NDG; 0.42 (LIN) to 0.59 (POI) for NCLV; 0.36 (LIN) to 0.51 (POI) for NEMB. The goodness of fit, measured by deviance information criterion and mean squared residuals, suggested superiority of POI and ZIP over Gaussian models. Estimated breeding values (EBV) obtained by different models were highly correlated, varying from 0.92 for NOV (between LIN-POI) and 0.99 for NGI (between POI-ZIP). The number of coincident animals on the 10% top EBV showed lower similarities. We recommend POI and ZIP models as the most adequate for genetic analysis of in vitro embryo production trait... Mostrar Tudo |
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Palavras-Chave: |
GLM; Model comparison; Ovum pick-up; Zebu cattle. |
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Thesaurus Nal: |
in vitro fertilization. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02191naa a2200241 a 4500
001 2072194
005 2023-01-27
008 2017 bl uuuu u00u1 u #d
100 1 $aPEREZ, B. C.
245 $aCount Bayesian models for genetic analysis of in vitro embryo production traits in Guzerá cattle.$h[electronic resource]
260 $c2017
300 $a9 p.
520 $aFour models for in vitro embryo production traits in Guzerá cattle were compared: Gaussian (untransformed variable ? LIN and transformed in logarithmic scale ? LOG), Poisson (POI) and zero-inflated Poisson (ZIP). Data consisted of 5716 ovum pick-up and in vitro fertilization records performed in 1205 cows from distinct regions of Brazil. Analyzed count traits were the number of viable oocytes (NOV), number of grade I oocytes (NGI), number of degenerated oocytes (NDG), number of cleaved embryos (NCLV) and number of viable produced embryos (NEMB). Heritability varied from 0.17 (LIN) to 0.25 (POI) for NOV; 0.08 (LOG) to 0.18 (ZIP) for NGI; 0.12 (LIN) to 0.20 (POI) for NDG; 0.13 (LIN) to 0.19 (POI) for NCLV; 0.10 (LIN) to 0.20 (POI) for NEMB depending on the considered model. The estimated repeatability varied from 0.53 (LOG) to 0.63 (POI) for NOV; 0.22 (LOG) to 0.39 (ZIP) for NGI; 0.29 (LIN) to 0.42 (ZIP) for NDG; 0.42 (LIN) to 0.59 (POI) for NCLV; 0.36 (LIN) to 0.51 (POI) for NEMB. The goodness of fit, measured by deviance information criterion and mean squared residuals, suggested superiority of POI and ZIP over Gaussian models. Estimated breeding values (EBV) obtained by different models were highly correlated, varying from 0.92 for NOV (between LIN-POI) and 0.99 for NGI (between POI-ZIP). The number of coincident animals on the 10% top EBV showed lower similarities. We recommend POI and ZIP models as the most adequate for genetic analysis of in vitro embryo production traits in Guzerá cattle.
650 $ain vitro fertilization
653 $aGLM
653 $aModel comparison
653 $aOvum pick-up
653 $aZebu cattle
700 1 $aSILVA, F. F.
700 1 $aBRUNELI, F. A. T.
700 1 $aBALIEIRO, J. C. C.
700 1 $aPEIXOTO, M. G. C. D.
773 $tAnimal, Feb. 27, 2017.
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| 18. |  | COSTA, C. N.; LIMA, V. M. B.; CARNEIRO, A. V.; BRUNELI, F. A. T.; LANCELLOTTA, P. I. P. Gisleite: um sistema computacional para a gestão de sistemas de produção de leite. In: MARTINS, P. do C.; PICCININI, G. A.; KRUG, E. E. B.; MARTINS, C. E.; LOPES, F. C. F. Sustentabilidade ambiental, social e econômica da cadeia produtiva do leite: desafios e perspectivas. Brasília, DF : Embrapa, 2015. p. 161-168.| Tipo: Capítulo em Livro Técnico-Científico |
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| 20. | | SOUZA, L. L.; BRUNELI, F. A. T.; VICENTINI, R. R.; PEIXOTO, M. G. C. D.; SANTOS, G. G. dos. Fatores que afetam a contagem de células somáticas no leite de vacas Guzerá. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 17., 2016, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2016. 1 CD-ROM. (Embrapa Gado de Leite. Documentos, 186).| Tipo: Resumo em Anais de Congresso |
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