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| Registros recuperados : 112 | |
| 7. |  | CARDOSO, L. L.; TAROUCO, J. U.; COBUCI, J.; CARDOSO, F. F.; DAMBROS, M. C.; DEVINCENZI, T. Modelos de predição para peso e rendimento de cortes cárneos através de medidas no animal vivo. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 48., 2011, Belém, PA. O desenvolvimento da produção animal e a responsabilidade frente a novos desafios: anais. Belém, PA: SBZ, 2011. 1 CD-ROM.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 12. | | KERN, E. L.; COBUCI, J. A.; COSTA, C. N.; ALFONZO, E. P. M.; DALTRO, D. S. Factor analysis to evaluate the relationship between longevity, milk production and linear type traits in Holstein cows. In: ANNUAL MEETING BRAZILIAN SOCIETY OF ANIMAL SCIENCE, 50., 2013, Campinas. Proceedings... Campinas: Sociedade Brasileira de Zootecnia, 2013. | Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | KERN, E. L.; COBUCI, J. A.; COSTA, C. N.; BRACCINI NETO, J.; PICCOLI, M. L. Parametros genéticos para diferentes medidas de longevidade em vacas da raça holandesa, utilizando modelos linear e limiar. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Viçosa: Sociedade Brasileira de Melhoramento Animal, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | COSTA, C. N.; COBUCI, J. A.; FREITAS, A. F. de; VALLOTO, A. A.; SOUZA, M. A. Parâmetros genéticos para o escore da contagem de células somáticas da primeira lactação de vacas da raça Holandesa no Brasil. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 47., 2010, Salvador. Empreendedorismo e progresso científico na zootecnia brasileira: anais. Viçosa, MG: Sociedade Brasileira de Zootecnia, 2010.| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | COBUCI, J. A.; BIASSUS, I. de O.; COSTA, C. N.; BRACCINI NETO, J.; CARDOSO, L. L. Parâmetros genéticos para produção de leite, gordura e proteína estimados por diferentes modelos de regressão aleatória. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 47., 2010, Salvador. Empreendedorismo e progresso científico na zootecnia brasileira: anais. Viçosa, MG: Sociedade Brasileira de Zootecnia, 2010.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | COBUCI, J. A.; FREITAS, A. F. de; COSTA, C. N.; BRACCINI NETO, J. Correlações genética e ambiental entre características de tipo e produções de gordura e proteína em vaca da raça Holandesa no Brasil. In: REUNIÓN ASOCIACÓN LATINOAMERICANA DE PRODUCCIÓN ANIMAL, 20., REUNIÓN ASOCIACIÓN PERUANA DE PRODUCCIÓN ANIMAL, 30., CONGRESO INTERNACIONAL DE GANADERIA DOBLE PROPOSITO, 5., 2007, Cuzco. Anais... Cuzco: ALPA/APPA, 2007.| Biblioteca(s): Embrapa Gado de Leite. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sul. Para informações adicionais entre em contato com cppsul.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
08/01/2019 |
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Data da última atualização: |
08/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
PICCOLI, M. L.; BRITO, L. F.; BRACCINI, J.; BRITO, F. V.; CARDOSO, F. F.; COBUCI, J. A.; SARGOLZAEI, M.; SCHENKEL, F. S. |
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Afiliação: |
Mario L. Piccoli, UFRGS; Luiz F. Brito, University of Guelph; José Braccini, UFRGS; Fernanda V. Brito, GenSys; FERNANDO FLORES CARDOSO, CPPSUL; Jaime A. Cobuci, UFRGS; Mehdi Sargolzaei, University of Guelph; Flávio S. Schenkel, University of Guelph. |
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Título: |
A comprehensive comparison between single- and two-step GBLUP methods in a simulated beef cattle population. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Canadian Journal of Animal Science, v. 98, n. 3, p. 565-575, Sept. 2018. |
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DOI: |
dx.doi.org/10.1139/cjas-2017-0176 |
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Idioma: |
Inglês |
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Conteúdo: |
The statistical methods used in the genetic evaluations are a key component of the process and can be best compared by using simulated data. The latter is especially true in grazing beef cattle production systems, where the number of proven bulls with highly reliable estimated breeding values is limited to allow for a trustworthy validation of genomic predictions. Therefore, we simulated data for 4980 beef cattle aiming to compare single-step genomic best linear unbiased prediction (ssGBLUP), which simultaneously incorporates pedigree, phenotypic, and genomic data into genomic evaluations, and two-step GBLUP (tsGBLUP) procedures and genomic estimated breeding values (GEBVs) blending methods. The greatest increases in GEBV accuracies compared with the parents? average estimated breeding values (EBVPA) were 0.364 and 0.341 for ssGBLUP and tsGBLUP, respectively. Direct genomic value and GEBV accuracies when using ssGBLUP and tsGBLUP procedures were similar, except for the GEBV accuracies using Hayes? blending method in tsGBLUP. There was no significant or slight bias in genomic predictions from ssGBLUP or tsGBLUP (using VanRaden?s blending method), indicating that these predictions are on the same scale compared with the true breeding values. Overall, genetic evaluations including genomic information resulted in gains in accuracy >100% compared with the EBVPA. In addition, there were no significant differences between the selected animals (10% males and 50% females) by using ssGBLUP or tsGBLUP. MenosThe statistical methods used in the genetic evaluations are a key component of the process and can be best compared by using simulated data. The latter is especially true in grazing beef cattle production systems, where the number of proven bulls with highly reliable estimated breeding values is limited to allow for a trustworthy validation of genomic predictions. Therefore, we simulated data for 4980 beef cattle aiming to compare single-step genomic best linear unbiased prediction (ssGBLUP), which simultaneously incorporates pedigree, phenotypic, and genomic data into genomic evaluations, and two-step GBLUP (tsGBLUP) procedures and genomic estimated breeding values (GEBVs) blending methods. The greatest increases in GEBV accuracies compared with the parents? average estimated breeding values (EBVPA) were 0.364 and 0.341 for ssGBLUP and tsGBLUP, respectively. Direct genomic value and GEBV accuracies when using ssGBLUP and tsGBLUP procedures were similar, except for the GEBV accuracies using Hayes? blending method in tsGBLUP. There was no significant or slight bias in genomic predictions from ssGBLUP or tsGBLUP (using VanRaden?s blending method), indicating that these predictions are on the same scale compared with the true breeding values. Overall, genetic evaluations including genomic information resulted in gains in accuracy >100% compared with the EBVPA. In addition, there were no significant differences between the selected animals (10% males and 50% females) by using ss... Mostrar Tudo |
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Thesagro: |
Gado de Corte; Genoma; Melhoramento Genético Animal; Seleção. |
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Categoria do assunto: |
-- |
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Marc: |
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008 2018 bl uuuu u00u1 u #d
024 7 $adx.doi.org/10.1139/cjas-2017-0176$2DOI
100 1 $aPICCOLI, M. L.
245 $aA comprehensive comparison between single- and two-step GBLUP methods in a simulated beef cattle population.$h[electronic resource]
260 $c2018
520 $aThe statistical methods used in the genetic evaluations are a key component of the process and can be best compared by using simulated data. The latter is especially true in grazing beef cattle production systems, where the number of proven bulls with highly reliable estimated breeding values is limited to allow for a trustworthy validation of genomic predictions. Therefore, we simulated data for 4980 beef cattle aiming to compare single-step genomic best linear unbiased prediction (ssGBLUP), which simultaneously incorporates pedigree, phenotypic, and genomic data into genomic evaluations, and two-step GBLUP (tsGBLUP) procedures and genomic estimated breeding values (GEBVs) blending methods. The greatest increases in GEBV accuracies compared with the parents? average estimated breeding values (EBVPA) were 0.364 and 0.341 for ssGBLUP and tsGBLUP, respectively. Direct genomic value and GEBV accuracies when using ssGBLUP and tsGBLUP procedures were similar, except for the GEBV accuracies using Hayes? blending method in tsGBLUP. There was no significant or slight bias in genomic predictions from ssGBLUP or tsGBLUP (using VanRaden?s blending method), indicating that these predictions are on the same scale compared with the true breeding values. Overall, genetic evaluations including genomic information resulted in gains in accuracy >100% compared with the EBVPA. In addition, there were no significant differences between the selected animals (10% males and 50% females) by using ssGBLUP or tsGBLUP.
650 $aGado de Corte
650 $aGenoma
650 $aMelhoramento Genético Animal
650 $aSeleção
700 1 $aBRITO, L. F.
700 1 $aBRACCINI, J.
700 1 $aBRITO, F. V.
700 1 $aCARDOSO, F. F.
700 1 $aCOBUCI, J. A.
700 1 $aSARGOLZAEI, M.
700 1 $aSCHENKEL, F. S.
773 $tCanadian Journal of Animal Science$gv. 98, n. 3, p. 565-575, Sept. 2018.
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