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| Registros recuperados : 22 | |
| 9. |  | REIMANN, F. A.; BOLIGON, A. A.; CAMPOS, G. S.; CARDOSO, L. L.; JUNQUEIRA, V. S.; CARDOSO, F. F. Genetic parameters and accuracy of traditional and genomic breeding values for eye pigmentation, hair coat and breed standard in Hereford and Braford cattle. Livestock Science, v. 213, p. 44-50, July 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 10. | | JUNQUEIRA, V. S.; CARDOSO, F. F.; OLIVEIRA, M. M.; SOLLERO, B. P.; SILVA, F. F.; LOPES, P. S. Use of molecular markers to improve relationship information in the genetic evaluation of beef cattle tick resistance under pedigree-based models. Journal of Animal Breeding and Genetics, v. 134, n. 1, p. 14-26, Feb. 2017.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 11. | | SILVA, D. A. da; SILVA, F. F. e; VENTURA, H. T.; JUNQUEIRA, V. S.; SILVA, A. A. da; MOTA, R. R.; LOPES, P. S. Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 8, p. 643-651, fev. 2017. Título em português: Grupos de contemporâneos na avaliação genética de gado Nelore por inferência bayesiana.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 12. | | JUNQUEIRA, V. S.; LOPES, P. S.; RESENDE, M. D. V. de; SILVA, F. F. e; LOURENÇO, D. A. L.; YOKOO, M. J. I.; CARDOSO, F. F. Impact of embryo transfer phenotypic records on large-scale beef cattle genetic evaluations. Revista Brasileira de Zootecnia, Viçosa, MG, v. 47, e20170033, 2018. 4 p.| Biblioteca(s): Embrapa Florestas; Embrapa Pecuária Sul. |
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| 13. | | JUNQUEIRA, V. S.; PEIXOTO, L. de A.; LAVIOLA, B. G.; BHERING, L. L.; MENDONCA, S.; COSTA, T. da S. A.; ANTONIASSI, R. Bayesian multi-trait analysis reveals a useful tool to increase oil concentration and to decrease toxicity in Jatropha curcas L. Plos One, v. 11, e0157038, 2016. DOI: 10.1371/journal.pone.015038| Biblioteca(s): Embrapa Agroenergia; Embrapa Agroindústria de Alimentos; Embrapa Recursos Genéticos e Biotecnologia. |
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| 14. | | YOKOO, M. J. I.; SIMÕES, M. da R. S.; JUNQUEIRA, V. S.; MINHO, A. P.; GULIAS GOMES, C. C.; MACNEIL, M. D.; CARDOSO, F. F. Economic value for the trait tick count in Brangus cattle. In: INTERNATIONAL MEETING OF ADVANCES IN ANIMAL SCIENCE, 2016, Jaboticabal. Papers... Jaboticabal: Unesp, 2016. IMAS. Pôster 45209.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 15. | | COMIN, H. B.; SOLLERO, B. P.; JUNQUEIRA, V. S.; CARDOSO, L. L.; HIGA, R. H.; CAETANO, A. R.; YOKOO, M. J. I.; CARDOSO, F. F. Controle de qualidade de genótipos e amostras utilizados na seleção genômica das raças Braford e Hereford In: SEMINÁRIO INTERINSTITUCIONAL DE ENSINO, PESQUISA E EXTENSÃO, 18.; MOSTRA DE INICIAÇÃO CIENTÍFICA, 16,; MOSTRA DE EXTENSÃO, 11., 2013, Cruz Alta. Ciência, conhecimento e sociedade de risco: anais. Cruz Alta: Unicruz, 2013.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 16. | | CAMPOS, G. S.; SOLLERO, B. P.; REIMANN, F. A.; JUNQUEIRA, V. S.; CARDOSO, L. L.; YOKOO, M. J. I.; BOLIGON, A. A.; BRACCINI, J.; CARDOSO, F. F. Tag-SNP selection using Bayesian genomewide association study for growth traits in Hereford and Braford cattle. Journal of Animal Breeding and Genetics, v. 137, n. 5, p. 449-467, Sept. 2020.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 17. | | OLIVEIRA, H. R.; SILVA, F. F.; SIQUEIRA, O. H. G. B. D.; SOUZA, N. O.; JUNQUEIRA, V. S.; RESENDE, M. D. V. de; BORQUIS, R. R. A.; RODRIGUES, M. T. Combining different functions to describe milk, fat, and protein yield in goats using Bayesian multiple-trait random regression models. Journal of Animal Science, v. 94 n. 5, p. 1865-1874, May 2016.| Biblioteca(s): Embrapa Florestas. |
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| 18. | | CAMPOS, G. S.; REIMANN, F. A.; CARDOSO, L. L.; FERREIRA, C. E. R.; JUNQUEIRA, V. S.; SCHMIDT, P. I.; BRACCINI NETO, J.; YOKOO, M. J. I.; SOLLERO, B. P.; BOLIGON, A. A.; CARDOSO, F. F. Genomic prediction using different estimation methodology, blending and cross-validation techniques for growth traits and visual scores in Hereford and Braford cattle. Journal of Animal Science, v.96, n. 7, p. 2579-2595, June 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 19. | | SIMÕES, M. R. S.; LEAL, J. J. B.; MINHO, A. P.; GULIAS GOMES, C. C.; MACNEIL, M. D.; COSTA, R. F.; JUNQUEIRA, V. S.; SCHMIDT, P. I.; CARDOSO, F. F.; BOLIGON, A. A.; YOKOO, M. J. I. Breeding objectives of Brangus cattle in Brazil. Journal of Animal Breeding Genetics, v. 37, n. 2, p. 177-188, Mar. 2019.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 20. | | SIMÕES, M. R. S.; LEAL, J. J. B.; MINHO, A. P.; GULIAS GOMES, C. C.; MACNEIL, M. D.; COSTA, R. F.; JUNQUEIRA, V. S.; SCHMIDT, P. I.; CARDOSO, F. F.; BOLIGON, A. A.; YOKOO, M. J. I. Breeding objectives of Brangus cattle in Brazil. Journal of Animal Breeding and Genetics, v. 137, n. 2, p. 177-188, Mar. 2020.| Biblioteca(s): Embrapa Pecuária Sul. |
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| Registros recuperados : 22 | |
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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: |
08/10/2020 |
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Data da última atualização: |
08/10/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CAMPOS, G. S.; SOLLERO, B. P.; REIMANN, F. A.; JUNQUEIRA, V. S.; CARDOSO, L. L.; YOKOO, M. J. I.; BOLIGON, A. A.; BRACCINI, J.; CARDOSO, F. F. |
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Afiliação: |
Gabriel Soares Campos, UFPEL; BRUNA PENA SOLLERO, CPPSUL; Fernando Antonio Reimann, UFPEL; Vinicius Silva Junqueira, UFV; Leandro Lunardini Cardoso, UFPEL; MARCOS JUN ITI YOKOO, CPPSUL; Arione Augusti Boligon, UFPEL; José Braccini, UFRGS; FERNANDO FLORES CARDOSO, CPPSUL. |
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Título: |
Tag-SNP selection using Bayesian genomewide association study for growth traits in Hereford and Braford cattle. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Animal Breeding and Genetics, v. 137, n. 5, p. 449-467, Sept. 2020. |
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DOI: |
https://doi.org/10.1111/jbg.12458 |
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Idioma: |
Inglês |
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Conteúdo: |
The aim of this study was to perform a Bayesian genomewide association study (GWAS) to identify genomic regions associated with growth traits in Hereford and Braford cattle, and to select Tag‐SNPs to represent these regions in low‐density panels useful for genomic predictions. In addition, we propose candidate genes through functional enrichment analysis associated with growth traits using Medical Subject Headings (MeSH). Phenotypic data from 126,290 animals and genotypes for 131 sires and 3,545 animals were used. The Tag‐SNPs were selected with BayesB (π = 0.995) method to compose low‐density panels. The number of Tag‐single nucleotide polymorphism (SNP) ranged between 79 and 103 SNP for the growth traits at weaning and between 78 and 100 SNP for the yearling growth traits. The average proportion of variance explained by Tag‐SNP with BayesA was 0.29, 0.23, 0.32 and 0.19 for birthweight (BW), weaning weight (WW205), yearling weight (YW550) and postweaning gain (PWG345), respectively. For Tag‐SNP with BayesA method accuracy values ranged from 0.13 to 0.30 for k‐means and from 0.30 to 0.65 for random clustering of animals to compose reference and validation groups. Although genomic prediction accuracies were higher with the full marker panel, predictions with low‐density panels retained on average 76% of the accuracy obtained with BayesB with full markers for growth traits. The MeSH analysis was able to translate genomic information providing biological meanings of more specific gene products related to the growth traits. The proposed Tag‐SNP panels may be useful for future fine mapping studies and for lower‐cost commercial genomic prediction applications. MenosThe aim of this study was to perform a Bayesian genomewide association study (GWAS) to identify genomic regions associated with growth traits in Hereford and Braford cattle, and to select Tag‐SNPs to represent these regions in low‐density panels useful for genomic predictions. In addition, we propose candidate genes through functional enrichment analysis associated with growth traits using Medical Subject Headings (MeSH). Phenotypic data from 126,290 animals and genotypes for 131 sires and 3,545 animals were used. The Tag‐SNPs were selected with BayesB (π = 0.995) method to compose low‐density panels. The number of Tag‐single nucleotide polymorphism (SNP) ranged between 79 and 103 SNP for the growth traits at weaning and between 78 and 100 SNP for the yearling growth traits. The average proportion of variance explained by Tag‐SNP with BayesA was 0.29, 0.23, 0.32 and 0.19 for birthweight (BW), weaning weight (WW205), yearling weight (YW550) and postweaning gain (PWG345), respectively. For Tag‐SNP with BayesA method accuracy values ranged from 0.13 to 0.30 for k‐means and from 0.30 to 0.65 for random clustering of animals to compose reference and validation groups. Although genomic prediction accuracies were higher with the full marker panel, predictions with low‐density panels retained on average 76% of the accuracy obtained with BayesB with full markers for growth traits. The MeSH analysis was able to translate genom... Mostrar Tudo |
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Palavras-Chave: |
Gado Braford. |
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Thesagro: |
Gado de Corte; Gado Hereford; Seleção. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02608naa a2200277 a 4500
001 2125369
005 2020-10-08
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/jbg.12458$2DOI
100 1 $aCAMPOS, G. S.
245 $aTag-SNP selection using Bayesian genomewide association study for growth traits in Hereford and Braford cattle.$h[electronic resource]
260 $c2020
520 $aThe aim of this study was to perform a Bayesian genomewide association study (GWAS) to identify genomic regions associated with growth traits in Hereford and Braford cattle, and to select Tag‐SNPs to represent these regions in low‐density panels useful for genomic predictions. In addition, we propose candidate genes through functional enrichment analysis associated with growth traits using Medical Subject Headings (MeSH). Phenotypic data from 126,290 animals and genotypes for 131 sires and 3,545 animals were used. The Tag‐SNPs were selected with BayesB (π = 0.995) method to compose low‐density panels. The number of Tag‐single nucleotide polymorphism (SNP) ranged between 79 and 103 SNP for the growth traits at weaning and between 78 and 100 SNP for the yearling growth traits. The average proportion of variance explained by Tag‐SNP with BayesA was 0.29, 0.23, 0.32 and 0.19 for birthweight (BW), weaning weight (WW205), yearling weight (YW550) and postweaning gain (PWG345), respectively. For Tag‐SNP with BayesA method accuracy values ranged from 0.13 to 0.30 for k‐means and from 0.30 to 0.65 for random clustering of animals to compose reference and validation groups. Although genomic prediction accuracies were higher with the full marker panel, predictions with low‐density panels retained on average 76% of the accuracy obtained with BayesB with full markers for growth traits. The MeSH analysis was able to translate genomic information providing biological meanings of more specific gene products related to the growth traits. The proposed Tag‐SNP panels may be useful for future fine mapping studies and for lower‐cost commercial genomic prediction applications.
650 $aGado de Corte
650 $aGado Hereford
650 $aSeleção
653 $aGado Braford
700 1 $aSOLLERO, B. P.
700 1 $aREIMANN, F. A.
700 1 $aJUNQUEIRA, V. S.
700 1 $aCARDOSO, L. L.
700 1 $aYOKOO, M. J. I.
700 1 $aBOLIGON, A. A.
700 1 $aBRACCINI, J.
700 1 $aCARDOSO, F. F.
773 $tJournal of Animal Breeding and Genetics$gv. 137, n. 5, p. 449-467, Sept. 2020.
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