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| Registros recuperados : 307 | |
| 81. |  | CARREIRO, C. de M.; McMANUS, C.; SANTOS, S. A.; MARTINS, C. F.; CAETANO, A. R.; PAIVA, S. R. Estudo da Origem do Ovino Crioulo do Pantanal por Marcadores Mitocondriais e do Cromossomo Y. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 49., 2012, Brasília. Anais... Brasília: Sociedade Brasileira de Zootecnia, 2012. (CD-ROM). 3p.| Biblioteca(s): Embrapa Pantanal. |
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| 83. | | SILVA, E. C. da; DUTRA, JÚNIOR, W. M.; PAIVA, S. R.; GOMES FILHO, M. A.; IANELLA, P.; CAETANO, A. R. Distância genética entre suínos locais e comerciais do semi-árido do Nordeste utilizando marcadores microssatélites. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 47., 2010, Salvador. Empreendedorismo e progresso científicos na zootecnia brasileira de vanguarda: anais. Salvador: SBZ, 2010.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 84. | | BLACKBURN, H. D.; PAIVA, S. R.; SOLLERO, B. P.; BIEGELMEYER, P.; CAETANO, A. R.; CARDOSO, F. F. A dedicated SNP panel for evaluating genetic diversity in a composite cattle breed. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 85. | | BLACKBURN, H. D.; PAIVA, S. R.; SOLLERO, B. P.; BIEGELMEYER, P.; CAETANO, A. R.; CARDOSO, F. F. A dedicated SNP panel for evaluating genetic diversity in a composite cattle breed. 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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| 88. | | SILVA, J. M. da; ROMANIUC, A. R.; CAETANO, A. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B. Java Merging Copy Number Variants (JM-CNV): a new algorithm for identifying Copy Number Variant Regions (CNVR). In: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015. Não paginado. PAG 2015. Pôster P1170.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 89. | | PIMENTEL, F.; MCMANUS, C.; SOARES, K.; CAETANO, A. R.; FARIA, D. A. de; PAIVA, S. R.; IANELLA, P. Landscape genetics for Brazilian equines. Journal of Equine Veterinary Science, v. 126, 104251, 2023.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 90. | | IANELLA, P.; ARAUJO, R. O.; LACERDA, T. S.; MCMANUS, C. M.; CAETANO, A. R.; PAIVA, S. R. SNP mining and linkage disequilibrium analysis in the PRNP gene of different brazilian sheep breeds. In: INTERNATIONAL PLANT & ANIMAL GENOME, 20., 2012, San Diego. Abstract... Jersey City: Scherago International, 2012. PO584.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 95. | | OLIVEIRA, M. M. de; GULIAS-GOMES, C. C.; ROSO, V. M.; CAETANO, A. R.; AGUILAR, I.; CARDOSO, F. F. Seleção genômica para resistência a carrapatos em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 9., 2012, João Pessoa. Anais... João Pessoa: SBMA, 2012.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 96. | | OLIVEIRA, M. M. de; GULIAS-GOMES, C. C.; ROSO, V. M.; CAETANO, A. R.; AGUILAR, I.; CARDOSO, F. F. Seleção genômica para resistência a carrapatos em bovinos Braford e Hereford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 9., 2012, João Pessoa. Anais... João Pessoa: SBMA, 2012. 1 CD-ROM.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 97. | | BRANDÃO, R. M.; CARDOSO, M. das G.; BATISTA, L. R.; CAETANO, A. R. S.; LEMOS, A. C. C.; MARTINS, M. A.; NELSON, D. L. OLIVEIRA, J. E. de. Antifungal and physicochemical properties of Ocimum .essential oil loaded in poly(lactic acid) nanofibers Letters in Applied Microbiology, v. 74, n. 5, 2022. 765-776| Biblioteca(s): Embrapa Instrumentação. |
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| 98. | | CARDOSO, F. F.; SOLLERO, B. P.; GOMES, C. C. G.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J.; CAETANO, A. R.; AGUILAR, I. Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. Não paginado.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 99. | | CARDOSO, F. F.; SOLLERO, B. P.; GOMES, C. C. G.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J.; CAETANO, A. R.; AGUILAR, I. Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. Não paginado.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 100. | | CARDOSO, F. F.; SOLLERO, B. P.; GULIAS-GOMES, C. C.; COMIN, H. B.; ROSO, V. M.; HIGA, R. H.; YOKOO, M. J. I.; CAETANO, A. R.; AGUILAR, I. Accuracy of genomic prediction for tick resistance 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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| Registros recuperados : 307 | |
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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; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
06/11/2019 |
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Data da última atualização: |
06/02/2024 |
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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: |
SILVA, A. A.; SILVA, D. A.; SILVA, F. F.; COSTA, C. N.; LOPES, P. S.; CAETANO, A. R.; THOMPSON, G.; CARVALHEIRA, J. |
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Afiliação: |
A. A. SILVA, UFV; D. A. SILVA, UFV; F. F. SILVA, UFV; CLAUDIO NAPOLIS COSTA, CNPGL; P. S. LOPES, UFV; ALEXANDRE RODRIGUES CAETANO, Cenargen; G. THOMPSON, CIBIO-INBIO, UNIVERSITY OF PORTO, PORTUGAL; J. CARVALHEIRA, CIBIO-INBIO, UNIVERSITY OF PORTO, PORTUGAL. |
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Título: |
Autoregressive single-step test-day model for genomic evaluations of Portuguese Holstein cattle. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Dairy Science, v. 102, n. 7, p. 6330-6339, 2019. |
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DOI: |
10.3168/jds.2018-15191 |
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Idioma: |
Inglês |
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Conteúdo: |
The multiple-lactation autoregressive test-day (AR) model is the adopted model for the national genetic evaluation of dairy cattle in Portugal. Under this model, animals' permanent environment effects are assumed to follow a first-order autoregressive process over the long (auto-correlations between parities) and short (auto-correlations between test-days within lactation) terms. Given the relevance of genomic prediction in dairy cattle, it is essential to include marker information in national genetic evaluations. In this context, we aimed to evaluate the feasibility of applying the single-step genomic (G)BLUP to analyze milk yield using the AR model in Portuguese Holstein cattle. In total, 11,434,294 test-day records from the first 3 lactations collected between 1994 and 2017 and 1,071 genotyped bulls were used in this study. Rank correlations and differences in reliability among bulls were used to compare the performance of the traditional (A-AR) and single-step (H-AR) models. These 2 modeling approaches were also applied to reduced data sets with records truncated after 2012 (deleting daughters of tested bulls) to evaluate the predictive ability of the H-AR. Validation scenarios were proposed, taking into account young and proven bulls. Average EBV reliabilities, empirical reliabilities, and genetic trends predicted from the complete and reduced data sets were used to validate the genomic evaluation. Average EBV reliabilities for H-AR (A-AR) using the complete data set were 0.52 (0.16) and 0.72 (0.62) for genotyped bulls with no daughters and bulls with 1 to 9 daughters, respectively. These results showed an increase in EBV reliabilities of 0.10 to 0.36 when genomic information was included, corresponding to a reduction of up to 43% in prediction error variance. Considering the 3 validation scenarios, the inclusion of genomic information improved the average EBV reliability in the reduced data set, which ranged, on average, from 0.16 to 0.26, indicating an increase in the predictive ability. Similarly, empirical reliability increased by up to 0.08 between validation tests. The H-AR outperformed A-AR in terms of genetic trends when unproven genotyped bulls were included. The results suggest that the single-step GBLUP AR model is feasible and may be applied to national Portuguese genetic evaluations for milk yield. MenosThe multiple-lactation autoregressive test-day (AR) model is the adopted model for the national genetic evaluation of dairy cattle in Portugal. Under this model, animals' permanent environment effects are assumed to follow a first-order autoregressive process over the long (auto-correlations between parities) and short (auto-correlations between test-days within lactation) terms. Given the relevance of genomic prediction in dairy cattle, it is essential to include marker information in national genetic evaluations. In this context, we aimed to evaluate the feasibility of applying the single-step genomic (G)BLUP to analyze milk yield using the AR model in Portuguese Holstein cattle. In total, 11,434,294 test-day records from the first 3 lactations collected between 1994 and 2017 and 1,071 genotyped bulls were used in this study. Rank correlations and differences in reliability among bulls were used to compare the performance of the traditional (A-AR) and single-step (H-AR) models. These 2 modeling approaches were also applied to reduced data sets with records truncated after 2012 (deleting daughters of tested bulls) to evaluate the predictive ability of the H-AR. Validation scenarios were proposed, taking into account young and proven bulls. Average EBV reliabilities, empirical reliabilities, and genetic trends predicted from the complete and reduced data sets were used to validate the genomic evaluation. Average EBV reliabilities for H-AR (A-AR) using the complete data set w... Mostrar Tudo |
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Palavras-Chave: |
Autoregressive test-day model; Holstein cattle; Single-step genomic BLUP. |
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Categoria do assunto: |
-- |
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Marc: |
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245 $aAutoregressive single-step test-day model for genomic evaluations of Portuguese Holstein cattle.$h[electronic resource]
260 $c2019
520 $aThe multiple-lactation autoregressive test-day (AR) model is the adopted model for the national genetic evaluation of dairy cattle in Portugal. Under this model, animals' permanent environment effects are assumed to follow a first-order autoregressive process over the long (auto-correlations between parities) and short (auto-correlations between test-days within lactation) terms. Given the relevance of genomic prediction in dairy cattle, it is essential to include marker information in national genetic evaluations. In this context, we aimed to evaluate the feasibility of applying the single-step genomic (G)BLUP to analyze milk yield using the AR model in Portuguese Holstein cattle. In total, 11,434,294 test-day records from the first 3 lactations collected between 1994 and 2017 and 1,071 genotyped bulls were used in this study. Rank correlations and differences in reliability among bulls were used to compare the performance of the traditional (A-AR) and single-step (H-AR) models. These 2 modeling approaches were also applied to reduced data sets with records truncated after 2012 (deleting daughters of tested bulls) to evaluate the predictive ability of the H-AR. Validation scenarios were proposed, taking into account young and proven bulls. Average EBV reliabilities, empirical reliabilities, and genetic trends predicted from the complete and reduced data sets were used to validate the genomic evaluation. Average EBV reliabilities for H-AR (A-AR) using the complete data set were 0.52 (0.16) and 0.72 (0.62) for genotyped bulls with no daughters and bulls with 1 to 9 daughters, respectively. These results showed an increase in EBV reliabilities of 0.10 to 0.36 when genomic information was included, corresponding to a reduction of up to 43% in prediction error variance. Considering the 3 validation scenarios, the inclusion of genomic information improved the average EBV reliability in the reduced data set, which ranged, on average, from 0.16 to 0.26, indicating an increase in the predictive ability. Similarly, empirical reliability increased by up to 0.08 between validation tests. The H-AR outperformed A-AR in terms of genetic trends when unproven genotyped bulls were included. The results suggest that the single-step GBLUP AR model is feasible and may be applied to national Portuguese genetic evaluations for milk yield.
653 $aAutoregressive test-day model
653 $aHolstein cattle
653 $aSingle-step genomic BLUP
700 1 $aSILVA, D. A.
700 1 $aSILVA, F. F.
700 1 $aCOSTA, C. N.
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700 1 $aTHOMPSON, G.
700 1 $aCARVALHEIRA, J.
773 $tJournal of Dairy Science$gv. 102, n. 7, p. 6330-6339, 2019.
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