|
|
| 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 |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
10/08/2021 |
Data da última atualização: |
10/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SILVA, H. T.; LOPES, P. S.; CARVALHEIRA, J.; SILVA, D. A.; SILVA, A. A.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; COSTA, C. N. |
Afiliação: |
HUGO TEIXEIRA SILVA, Universidade Federal de Viçosa; PAULO SÁVIO LOPES, Universidade Federal de Viçosa; JÚLIO CARVALHEIRA, Universidade do Porto; DELVAN ALVES SILVA, Universidade Federal de Viçosa; ALESSANDRA ALVES SILVA, Universidade Federal de Viçosa; FABYANO FONSECA SILVA, Universidade Federal de Viçosa; RENATA VERONEZE, Universidade Federal de Viçosa; GERTRUDE THOMPSON, Universidade do Porto; CLAUDIO NAPOLIS COSTA, CNPGL. |
Título: |
Autoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Reproduction in Domestic Animals, v. 56, n. 3, p. 391-399, 2021. |
Idioma: |
Inglês |
Conteúdo: |
Reproductive efficiency is major determinant of the dairy herd profitability. Thus, reproductive traits have been widely used as selection objectives in the current dairy cattle breeding programs. We aimed to evaluate strategies to model days open (DO), calving interval (CI) and daughter pregnancy rate (DPR) in Brazilian Holstein cattle. These reproductive traits were analysed by the autoregressive (AR) model and compared with classical repeatability (REP) model using 127,280, 173,092 and 127,280 phenotypic records, respectively. The first three calving orders of cows from 1,469 Holstein herds were used here. The AR model reported lower values for Akaike Information Criteria and Mean Square Errors, as well as larger model probabilities, for all evaluated traits. Similarly, larger additive genetic and lower residual variances were estimated from AR model. Heritability and repeatability estimates were similar for both models. Heritabilities for DO, CI and DPR were 0.04, 0.07 and 0.04; and 0.05, 0.06 and 0.04 for AR and REP models, respectively. Individual EBV reliabilities estimated from AR for DO, CI and DPR were, in average, 0.29, 0.30 and 0.29 units higher than those obtained from REP model. Rank correlation between EBVs obtained from AR and REP models considering the top 10 bulls ranged from 0.72 to 0.76; and increased from 0.98 to 0.99 for the top 100 bulls. The percentage of coincidence between selected bulls from both methods increased over the number of bulls included in the top groups. Overall, the results of model-fitting criteria, genetic parameters estimates and EBV predictions were favourable to the AR model, indicating that it may be applied for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle. MenosReproductive efficiency is major determinant of the dairy herd profitability. Thus, reproductive traits have been widely used as selection objectives in the current dairy cattle breeding programs. We aimed to evaluate strategies to model days open (DO), calving interval (CI) and daughter pregnancy rate (DPR) in Brazilian Holstein cattle. These reproductive traits were analysed by the autoregressive (AR) model and compared with classical repeatability (REP) model using 127,280, 173,092 and 127,280 phenotypic records, respectively. The first three calving orders of cows from 1,469 Holstein herds were used here. The AR model reported lower values for Akaike Information Criteria and Mean Square Errors, as well as larger model probabilities, for all evaluated traits. Similarly, larger additive genetic and lower residual variances were estimated from AR model. Heritability and repeatability estimates were similar for both models. Heritabilities for DO, CI and DPR were 0.04, 0.07 and 0.04; and 0.05, 0.06 and 0.04 for AR and REP models, respectively. Individual EBV reliabilities estimated from AR for DO, CI and DPR were, in average, 0.29, 0.30 and 0.29 units higher than those obtained from REP model. Rank correlation between EBVs obtained from AR and REP models considering the top 10 bulls ranged from 0.72 to 0.76; and increased from 0.98 to 0.99 for the top 100 bulls. The percentage of coincidence between selected bulls from both methods increased over the number of bulls included ... Mostrar Tudo |
Palavras-Chave: |
Avaliação genética; Cow fertility; Desempenho reprodutivo; Model evaluation. |
Thesagro: |
Bovino; Fertilidade; Gado Holandês; Reprodução Animal. |
Thesaurus Nal: |
Autocorrelation; Reproductive performance. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 02755naa a2200337 a 4500 001 2133402 005 2021-08-10 008 2021 bl uuuu u00u1 u #d 100 1 $aSILVA, H. T. 245 $aAutoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle.$h[electronic resource] 260 $c2021 520 $aReproductive efficiency is major determinant of the dairy herd profitability. Thus, reproductive traits have been widely used as selection objectives in the current dairy cattle breeding programs. We aimed to evaluate strategies to model days open (DO), calving interval (CI) and daughter pregnancy rate (DPR) in Brazilian Holstein cattle. These reproductive traits were analysed by the autoregressive (AR) model and compared with classical repeatability (REP) model using 127,280, 173,092 and 127,280 phenotypic records, respectively. The first three calving orders of cows from 1,469 Holstein herds were used here. The AR model reported lower values for Akaike Information Criteria and Mean Square Errors, as well as larger model probabilities, for all evaluated traits. Similarly, larger additive genetic and lower residual variances were estimated from AR model. Heritability and repeatability estimates were similar for both models. Heritabilities for DO, CI and DPR were 0.04, 0.07 and 0.04; and 0.05, 0.06 and 0.04 for AR and REP models, respectively. Individual EBV reliabilities estimated from AR for DO, CI and DPR were, in average, 0.29, 0.30 and 0.29 units higher than those obtained from REP model. Rank correlation between EBVs obtained from AR and REP models considering the top 10 bulls ranged from 0.72 to 0.76; and increased from 0.98 to 0.99 for the top 100 bulls. The percentage of coincidence between selected bulls from both methods increased over the number of bulls included in the top groups. Overall, the results of model-fitting criteria, genetic parameters estimates and EBV predictions were favourable to the AR model, indicating that it may be applied for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle. 650 $aAutocorrelation 650 $aReproductive performance 650 $aBovino 650 $aFertilidade 650 $aGado Holandês 650 $aReprodução Animal 653 $aAvaliação genética 653 $aCow fertility 653 $aDesempenho reprodutivo 653 $aModel evaluation 700 1 $aLOPES, P. S. 700 1 $aCARVALHEIRA, J. 700 1 $aSILVA, D. A. 700 1 $aSILVA, A. A. 700 1 $aSILVA, F. F. 700 1 $aVERONEZE, R. 700 1 $aTHOMPSON, G. 700 1 $aCOSTA, C. N. 773 $tReproduction in Domestic Animals$gv. 56, n. 3, p. 391-399, 2021.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Trigo. |
Data corrente: |
26/04/2010 |
Data da última atualização: |
28/08/2015 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
MÜLLER, A. L.; DALMAGO, G. A.; ERTEL, T.; SCHÜTZ, M. V.; GIACOMINI, L. Z.; VAZATA, S.; RIGHI, E. Z.; SCHNEIDER, F.; PASLAUSKI, T.; KAEFER, J. E.; DAGA, J. |
Afiliação: |
ALEXANDRE L. MÜLLER, Estudante; GENEI ANTONIO DALMAGO, CNPT; TIAGO ERTEL, Estudante; MARCUS V. SCHÜTZ, Estudante; LETICIA Z. GIACOMINI, Estudante; SIMONE VAZATA, Estudante; EVANDRO Z. RIGHI, UFSM; FAUSTO SCHNEIDER, Eng. Agrônomo; TIAGO PASLAUSKI, Eng. Agrônomo; JOÃO EDSON KAEFER, PUCPR; JACIR DAGA, PUCPR. |
Título: |
Produtividade de híbridos de canola em relação a diferentes épocas de semeadura na região oeste do Paraná. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 16., 2009, Belo Horizonte. Mudanças climáticas, recursos hídricos e energia para uma agricultura sustentável. Campinas: SBA; Viçosa: UFV; Sete Lagoas: Embrapa Milho e Sorgo, 2009. VI-Agrometeorologia, trabalho 348. |
Páginas: |
5 p. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Português |
Palavras-Chave: |
Agrometeorologia; Sowing dates; Yield. |
Thesagro: |
Brassica Napus; Clima; Rendimento. |
Thesaurus NAL: |
hybrids. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/128759/1/ID41024-2009CBAcd217-348.pdf
|
Marc: |
LEADER 01105nam a2200313 a 4500 001 1852803 005 2015-08-28 008 2009 bl uuuu u00u1 u #d 100 1 $aMÜLLER, A. L. 245 $aProdutividade de híbridos de canola em relação a diferentes épocas de semeadura na região oeste do Paraná.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 16., 2009, Belo Horizonte. Mudanças climáticas, recursos hídricos e energia para uma agricultura sustentável. Campinas: SBA; Viçosa: UFV; Sete Lagoas: Embrapa Milho e Sorgo, 2009. VI-Agrometeorologia, trabalho 348.$c2009 300 $a5 p.$c1 CD-ROM. 650 $ahybrids 650 $aBrassica Napus 650 $aClima 650 $aRendimento 653 $aAgrometeorologia 653 $aSowing dates 653 $aYield 700 1 $aDALMAGO, G. A. 700 1 $aERTEL, T. 700 1 $aSCHÜTZ, M. V. 700 1 $aGIACOMINI, L. Z. 700 1 $aVAZATA, S. 700 1 $aRIGHI, E. Z. 700 1 $aSCHNEIDER, F. 700 1 $aPASLAUSKI, T. 700 1 $aKAEFER, J. E. 700 1 $aDAGA, J.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Trigo (CNPT) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|