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| Registros recuperados : 23 | |
| 2. |  | PICCOLI, M. L.; BRACINNI NETO, J.; CARDOSO, F. F.; SARGOLZAEI, M.; SCHENKEL, F. S. Accuracy of genotype imputation with different low density panels in Braford and Hereford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 5. | | CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL. F. S.; URBINATI, I.; CARVALHEIRO, R.; REGITANO, L. C. de A.; MARCONDES, C. R.; MINARI, D. P. Accuracy of genotype imputation in Canchim cattle using FImpute and Beagle software., In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[ s.n.], 2013. AB.20.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 6. | | BUZANSKAS, M. E.; GROSSI, D. A.; REGITANO, L. C. de A.; SCHENKEL, F. S.; ALENCAR, M. M. de; MUNARI, D. P. Associações genômicas para perímetro escrotal ao desmame em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Belo Horizonte: SBMA, 2013. 3 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 7. | | GROSSI, D. A.; GRUPIONI, N. V.; BUZANSKAS, M. E.; SCHENKEL, F. S.; REGITANO, L. C. de A.; PAZ, C. C. P.; ALENCAR, M. M. de; MUNARI, D. Association of polymorphisms in the IGF1, GH and PIT1 genes with growth and reproductive traits in Canchim cattle In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 9., 2010, Leipzig. Proceedings... Leipzig: German Society fo Animal Science, 2010. 1 CD-ROM| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 8. | | PICCOLI, M. L.; BRITO, L. F.; BRACCINI, J.; BRITO, F. V.; CARDOSO, F. F.; COBUCI, J. A.; SARGOLZAEI, M.; SCHENKEL, F. S. A comprehensive comparison between single- and two-step GBLUP methods in a simulated beef cattle population. Canadian Journal of Animal Science, v. 98, n. 3, p. 565-575, Sept. 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 9. | | BUZANSKAS, M. E.; VENTURA, R. V.; REGITANO, L. C. de A.; SCHENKEL, F. S.; ALENCAR, M. M. de; MUNARI, D. P. Estudo de associações genômicas para idade ao primeiro e segundo parto em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Belo Horizonte: SBMA, 2013. 3 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 10. | | CRUZ, V. A. R. da; IBELLI, A. M. G.; SAVEGNAGO, R. P.; NASCIMENTO, G. B.; SARGOLZAEI, M.; SCHENKEL. F. S.; LEDUR, M. C.; PEIXOTO, J. de O.; MUNARI, D. P. Association of the adiponectin receptor 1 gene with bone integrity traits in a paternal broiler line. In: REUNIÃO ANNUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 51, 2014, Barra dos Coqueiros. Anais ... Barra dos Coqueiros: SBZ, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 11. | | CRUZ, V. A. R. da; SCHENKEL, F. S.; SAVEGNAGO, R. P.; GRUPIONI, N. V.; STAFUZZA, N. B.; SARGOZAEL, M.; IBELLI, A. M. G.; PEIXOTO, J. de O.; LEDUR, M. C.; MUNARI, D. P. Association of apolipoprotein B and adiponectin receptor 1 genes with carcass, bone integrity and performance traits in a paternal broiler Line. Plos One, v. 10, n.8, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 12. | | GROSSI, D. do; GRUPIONI, N. V.; BUZANSKAS, M. E.; PAZ, C. C. P. de; REGITANO, L. C. de A.; ALENCAR, M. M. de; SCHENKEL, F. S.; MUNARI, D. P. Allele substitution effects of IGF1, GH and PIT1 markers on estimated breeding values for weight and reproduction traits in Canchim beef cattle. Livestock Science, v. 180, p. 78-83, oct. 2015.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 13. | | GROSSI, D. do A.; BUZANSKAS, M. E.; GRUPIONI, N. V.; PAZ, C. C. P. de; REGITANO, L. C. de A.; ALENCAR, M. M. de; SCHENKEL, F. S.; MUNARI, S. P. Effect of IGF1, GH, and PIT1 markers on the genetic parameters of growth and reproduction traits in Canchim cattle. Molecular Biology Report, v. 42, n. 1, p. 245-251, jan. 2014.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 14. | | BUZANSKAS, M. E.; GROSSI, D. A.; VENTURA, R. V.; CHUD, T. C. S.; URBINATI, I.; MEIRELLES, S. L. C.; MOKRY, F. B.; SCHENKEL, F. S.; REGITANO, L. C. de A.; MUNARI, D. P. Genome-wide association study on long-yearling scrotal circumference in Canchim cattle. In:WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings...Vancouver: WCGALP: Amarican Society of Animal Science, 2014.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 15. | | CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL, F. S.; CARVALHEIRO, R.; BUZANSKAS, M. E.; ROSA, J. O.; MUDADU, M. de A.; SILVA, M. V. G. B.; MARCONDES, C. R.; REGITANO, L. C. de A.; MUNARI, D. P. Strategies for genotype imputation in composite beef cattle BMC Genetics, v. 16, p. 99, 2015. 10 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | NEVES, H. H.; CARVALHEIRO, R.; O'BRIEN, A. M.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; SCHENKEL, F. S.; SÖLKNER, J.; MCEWAN, J. C.; VAN TASSELL, C. P.; COLE, J. B.; SILVA, M. V. G. B.; QUEIROZ, S. A.; SONSTEGARD, T. S.; GARCIA, J. F. Accuracy of genomic predictions in Bos indicus (Nellore) cattle. Genetics Selection Evolution, v. 46, article 17, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | BUZANSKAS, M. E.; VENTURA, R. V.; CHUD, T. C. S.; SANTOS, D. J. A.; BERNARDES, P. A.; SILVA, T. B. R.; MUDADU, M. A.; REGITANO, L. C. A.; SILVA, M. V. G. B.; LI, C.; SCHENKEL, F. S.; ALENCAR, M. M.; MUNARI, D. P. Admixture analysis in Brazillian synthetic cattle. In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | BUZANSKAS, M. E.; GROSSI, D. do A.; VENTURA, R. V.; SCHENKEL, F. S.; CHUD, T. C. S.; STAFUZZA, N. B.; ROLA, L. D.; MEIRELLES, S. L. C.; MOKRY, F. B.; MUDADU, M. de A.; HIGA, R. H.; SILVA, M. V. G. B.; ALENCAR, M. M. de; REGITANO, L. C. de A.; MUNARI, D. P. Candidate genes for male and female reproductive traits in Canchim beef cattle. Journal of Animal Science and Biotechnology, v. 8, p. 1-10, 2017. Artigo 67. Na publicação: Marcos Vinícius Gualberto Barbosa da Silva.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 19. | | BUZANSKAS, M. E.; GROSSI, D. A.; VENTURA, R. V.; SCHENKEL, F. S.; SARGOLZAEI, M.; MEIRELLES, S. L. C. O; MOKRY, F. B.; HIGA, R. H.; MUDADU, M. de A.; SILVA, M. V. G. B.; NICIURA, S. C. M.; TORRES JUNIOR, R. A. de A.; ALENCAR, M. M. de; REGITANO, L. C. de A.; MUNARI, D. P. Genome-wide association for growth traits in Canchim beef cattle. Plos One, v. 9, n. 4, e94802 2014.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 20. | | UTSUNOMIYA, Y. T.; CARMO, A. S. do; CARVALHEIRO, R.; NEVES, H. H. R.; MATOS, M. C.; ZAVAREZ, L. B.; O'BRIEN, A. M. P.; SÖLKNER, J.; McEWAN, J. C.; COLE, J. B.; TASSEL, C. P. V.; SCHENKEL, F. S.; SILVA, M. V. G. B.; PORTO NETO, L. R.; SONSTEGARD, T. S.; GARCIA, J. F. Genome-wide association study for birth weight in Nellore cattle points to previously described orthologous genes affecting human and bovine height. BMC Genetics, London, v. 14, article 52, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 23 | |
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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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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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