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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
06/11/2019 |
Data da última atualização: |
06/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SILVA, A. A.; SILVA, D. A.; SILVA, F. F.; COSTA, C. N.; LOPES, P. S.; CAETANO, A. R.; THOMPSON, G.; CARVALHEIRA, J. |
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. |
Título: |
Autoregressive single-step test-day model for genomic evaluations of Portuguese Holstein cattle. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Journal of Dairy Science, v. 102, n. 7, p. 6330-6339, 2019. |
DOI: |
10.3168/jds.2018-15191 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Autoregressive test-day model; Holstein cattle; Single-step genomic BLUP. |
Categoria do assunto: |
-- |
Marc: |
LEADER 03130naa a2200253 a 4500 001 2129209 005 2024-02-06 008 2019 bl uuuu u00u1 u #d 024 7 $a10.3168/jds.2018-15191$2DOI 100 1 $aSILVA, A. A. 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. 700 1 $aLOPES, P. S. 700 1 $aCAETANO, A. R. 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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Embrapa Gado de Leite (CNPGL) |
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Registro Completo
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
05/11/2009 |
Data da última atualização: |
14/07/2011 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SOUZA, P. I. de M. de; TOLEDO, J. F. F. de; MOREIRA, C. T.; FARIAS NETO, A.; SILVA, S. A. da; ARANTES, N. E.; MELLO FILHO, O. L. de; CARNEIRO, G. E. de S.; MONTEIRO, P. M. F. O.; ARIAS, C. A. A.; KASTER, M.; OLIVEIRA, M. F. de; PIPOLO, A. E.; BROGIN, R. L.; NUNES JÚNIOR, J.; ABDELNOOR, R. V.; ALMEIDA, A. M. R.; MEYER, M. C.; ANDRADE, P. J. M.; CARRAO-PANIZZI, M. C.; DIAS, W. P.; MOREIRA, J. U. V.; NEIVA, L. C. da S.; NUNES, M. R.; SEII, A. H.; SILVA, L. O. e; SILVA, N. S.; TEIXEIRA, R. N.; SOARES, R. M.; TOLEDO, R. M. C. P.; VIEIRA, N. E. |
Afiliação: |
PLINIO ITAMAR DE MELLO DE SOUZA, CPAC; JOSE FRANCISCO FERRAZ DE TOLEDO, CNPSo; CLAUDETE TEIXEIRA MOREIRA, CPAC; AUSTECLINIO LOPES DE FARIAS NETO, CPAC; SERGIO ABUD DA SILVA, CPAC; NEYLSON EUSTAQUIO ARANTES, CNPSo; ODILON LEMOS DE MELLO FILHO, CNPSo; GERALDO ESTEVAM DE SOUZA CARNEIRO, CNPSo; PEDRO MANUEL F. O. MONTEIRO, SEAGRO; CARLOS ALBERTO ARRABAL ARIAS, CNPSo; MILTON KASTER, CNPSo; MARCELO FERNANDES DE OLIVEIRA, CNPSo; ANTONIO EDUARDO PIPOLO, CNPSo; RODRIGO LUIS BROGIN, CNPSo; JOSÉ NUNES JÚNIOR, CTPA; RICARDO VILELA ABDELNOOR, CNPSo; ALVARO MANUEL RODRIGUES ALMEIDA, CNPSo; MAURICIO CONRADO MEYER, CNPSo; PAULINO JOSE MELO ANDRADE, CNPSo; MERCEDES CONCORDIA CARRAO PANIZZI, CNPSo; WALDIR PEREIRA DIAS, CNPSo; JOSE UBIRAJARA VIEIRA MOREIRA, CNPSo; LUÍS CARLOS DA SILVA NEIVA, SEAGRO; MARCOS ROGÉRIO NUNES, SEAGRO; ALEXANDER HAYAKAWA SEII, CTPA; LEANDRO OLIVEIRA E SILVA, SEAGRO; NELSON S. SILVA, CPAC; ROGERIO NOVAIS TEIXEIRA, SNTUP Brasilia; RAFAEL MOREIRA SOARES, CNPSo; REGINA M. C. P. TOLEDO, SEAGRO; NERIVALDO ELÍSIO VIEIRA, CTPA. |
Título: |
Variedade de soja resistente à ferrugem (BRSGRO 7560): posicionamento da nova tecnologia. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: REUNIÃO DO CONSÓRCIO ANTIFERRUGEM SAFRA 2008-09, 2009, Londrina. Resumos... Londrina: Embrapa Soja, 2009. p. 89-91. (Embrapa Soja. Documentos, 315). Editado por Claudia Vieira Godoy, Claudine Dinali Santos Seixas, Rafael Moreira Soares. |
Idioma: |
Português |
Palavras-Chave: |
Fitopatologia; Plant disease; Resistência á ferrugem. |
Thesagro: |
Doença de planta; Ferrugem; Phakopsora Pachyrhizi; Soja. |
Thesaurus NAL: |
Rust diseases; Soybeans. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 01795naa a2200577 a 4500 001 1574061 005 2011-07-14 008 2009 bl uuuu u00u1 u #d 100 1 $aSOUZA, P. I. de M. de 245 $aVariedade de soja resistente à ferrugem (BRSGRO 7560)$bposicionamento da nova tecnologia. 260 $c2009 650 $aRust diseases 650 $aSoybeans 650 $aDoença de planta 650 $aFerrugem 650 $aPhakopsora Pachyrhizi 650 $aSoja 653 $aFitopatologia 653 $aPlant disease 653 $aResistência á ferrugem 700 1 $aTOLEDO, J. F. F. de 700 1 $aMOREIRA, C. T. 700 1 $aFARIAS NETO, A. 700 1 $aSILVA, S. A. da 700 1 $aARANTES, N. E. 700 1 $aMELLO FILHO, O. L. de 700 1 $aCARNEIRO, G. E. de S. 700 1 $aMONTEIRO, P. M. F. O. 700 1 $aARIAS, C. A. A. 700 1 $aKASTER, M. 700 1 $aOLIVEIRA, M. F. de 700 1 $aPIPOLO, A. E. 700 1 $aBROGIN, R. L. 700 1 $aNUNES JÚNIOR, J. 700 1 $aABDELNOOR, R. V. 700 1 $aALMEIDA, A. M. R. 700 1 $aMEYER, M. C. 700 1 $aANDRADE, P. J. M. 700 1 $aCARRAO-PANIZZI, M. C. 700 1 $aDIAS, W. P. 700 1 $aMOREIRA, J. U. V. 700 1 $aNEIVA, L. C. da S. 700 1 $aNUNES, M. R. 700 1 $aSEII, A. H. 700 1 $aSILVA, L. O. e 700 1 $aSILVA, N. S. 700 1 $aTEIXEIRA, R. N. 700 1 $aSOARES, R. M. 700 1 $aTOLEDO, R. M. C. P. 700 1 $aVIEIRA, N. E. 773 $tIn: REUNIÃO DO CONSÓRCIO ANTIFERRUGEM SAFRA 2008-09, 2009, Londrina. Resumos... Londrina: Embrapa Soja, 2009. p. 89-91. (Embrapa Soja. Documentos, 315). Editado por Claudia Vieira Godoy, Claudine Dinali Santos Seixas, Rafael Moreira Soares.
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