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| Registros recuperados : 21 | |
| 6. |  | AHMADI, A.; DUNBAR, J. R.; GARRETT, A. W. N.; OLTJEN, J. W.; GUERRERO, J. Taurus update-support for teaching research, and outreach. In: INTERNATIONAL CONFERENCE, 5., 1994, Orlando. Computers in agriculture: proceedings. St. Joseph, MI: ASAE, 1994. p. 183-188.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 7. | | OLTJEN, J. W.; AHMADI, A; DUNBAR, J. R.; GARRET, W. N.; GUERRERO, J. Management strategies to maximize cattle profits. In: INTERNATIONAL CONFERENCE, 5., 1994, Orlando. Computers in agriculture: proceedings. St. Joseph, MI: ASAE, 1994. p. 165-170.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 8. | | SAINZ, R. D.; BARIONI, L. G.; PAULINO, P. V.; VALADARES FILHO, S. C.; OLTJEN, J. W. Growth patterns of Nellore vc British beef cattle breeds assessed using a dynamic, mechanistic model of cattle growth and composition. In: KEBREAB, E.; DIJKSTRA, J.; BANNINK, A.; GERRITS, W. J. J.; FRANCE, J. (Ed.). Nutrient digestion and utilization in farm animals: modelling approaches. Oxfordshire: CABI, 2006. p. 160-170.| Biblioteca(s): Embrapa Cerrados. |
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| 9. | | OLTJEN, J. W.; SAINZ, R. D.; BARIONI, L. G.; MEDEIROS, S. R. de. Rate of protein growth and energy for maintenance parameter changes in the Davis Growth Model. In: EAAP INTERNATIONAL SYMPOSIUM ON ENERGY AND PROTEIN METABOLISM AND NUTRITION, 5., 2016, Krakow, Poland. Proceedings... Wageningen, Reino dos Países Baixos: Wageningen Academic Pulbishers, 2016. p. 69-70 (EAAP publication, 137). Edited by: Jacek Skomial, Hélène Lapierre| Biblioteca(s): Embrapa Gado de Corte. |
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| 10. | | ALBERTINI, T. Z.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; ZOCHI, S. S.; OLTJEN, J. W.; STRATHE, A. B.; LANNA, D. P. D. A methodological approach to estimate the lactation curve and net energy and protein requirements of beef cows using nonlinear mixed-effects modeling. Journal of Animal Science, v.90, n.11, p.3867-3878, Nov. 2012.| Biblioteca(s): Embrapa Gado de Corte. |
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| 11. | | BARIONI, L. G.; WOODWARD, S. J. R.; TEDESCHI, L. O.; MACHADO, C. F.; OLTJEN, J. W.; MARTHA JÚNIOR, G. B.; SAINZ, R. D. Current and potential contributions of mathematical modeling to management of grazing systems. In: GRASSLAND ECOPHYSIOLOGY AND GRAZING ECOLOGY, 2., 2004, Curitiba. [Anais...]. Curitiba: UFPR, 2004. 1 CD-ROM.| Biblioteca(s): Embrapa Cerrados. |
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| 12. | | BIASE, A. G.; DIAS, C. T. S.; BARIONI, L. G.; ALBERTINI, T. Z.; MARTORANO, L. G.; OLTJEN, J. W.; LANNA, D. P.; OLIVEIRA, P. P. A.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A. Dynamic mathematical model to estimate the individual performance of cross beef cattle. In: INTERNATIONAL ECOSUMMIT, 5., 2016, Montpellier. Ecological sustainability: engineering change: abstract book. [S.l.]: Elsevier, 2016. Não paginado.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Amazônia Oriental; Embrapa Pecuária Sudeste. |
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| 13. | | BIASE, A. G.; DIAS, C. T. dos S.; BARIONI, L. G.; ALBERTINI, T. Z.; MARTORANO, L. G.; OLTJEN, J. W.; LANNA, D. P. D.; OLIVEIRA, P. P. A.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A. Parametrization of the Davis Growth Model using data of crossbred zebu cattle. Scientia Agricola, v. 74, n. 1, p.8-17, Jan./Feb. 2017.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Amazônia Oriental; Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
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| 14. | | ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; FERNANDES, P. A. P.; CASTANHEIRA, M. A.; LANNA, D. P.; NEPOMUCENO, N. H. C.; BARIONI, L. G.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; OLTJEN, J. W.; COSTA JÚNIOR, C. BeefTader (part I): optimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. 502 p. (Embrapa Gado de Corte. Documentos, 216). Coordenador Roberto Giolo de Almeida. II SIGEE p. 182-186.| Biblioteca(s): Embrapa Gado de Corte. |
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| 15. | | ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; FERNANDES, P. A. P.; CASTANHEIRA, M. A.; LANNA, D. P.; NEPOMUCENO, N. H. C.; BARIONI, L. G.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; OLTJEN, J. W.; COSTA JÚNIOR, C. BeefTader (part I): optimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. p. 182-186. (Embrapa Gado de Corte. Documentos, 216). Coordenador: Roberto Giolo de Almeida. II SIGEE.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 16. | | ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; CERQUEIRA, A. G.; GONÇALVES, H. C.; BARIONI, L. G.; CAIXETA-FILHO, V.; PÉRA, T. G.; DIAS, C. T. D. S.; MEDEIROS, S. R. de; OLTJEN, J. W.; NEPOMUCENO, N. H. C.; LANNA, D. P. D. BeefTrader: optimal economical endpoint decision support system for feedlots and meat packers. Journal of Animal Science v. 95, p. 307, 2017. Suplemento 4, Resumo 627. Edição de Abstracts do ASAS-CSAS Annual Meeting and Trade Show, Baltimore, 2017. Na publicação: S. R. Medeiros.| Biblioteca(s): Embrapa Gado de Corte. |
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| 17. | | ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; CERQUEIRA, A. G.; GONÇALVES, H. C.; BARIONI, L. G.; CAIXETA-FILHO, V.; PÉRA, T. G.; DIAS, C. T. D. S.; MEDEIROS, S. R. de; OLTJEN, J. W.; NEPOMUCENO, N. H. C.; LANNA, D. P. D. BeefTrader: optimal economical endpoint decision support system for feedlots and meat packers. Journal of Animal Science, v. 95, p. 307, 2017. Suplemento 4, Resumo 627. Edição de Abstracts do ASAS-CSAS Annual Meeting and Trade Show, Baltimore, 2017. Na publicação: S. R. Medeiros.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 18. | | ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; FERNANDES, P. A. P.; CASTANHEIRA, M. A.; COUTINHO, M. A. da S.; CERQUEIRA, A. G.; GONÇALVES, H. C.; LANNA, D. P.; NEPOMUCENO, N. H. C.; BARIONI, L. G.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; FREUA, M. C.; OLTJEN, J. W. BeefTrader (part III): meat industry opportunity to improve its profitability reducing greenhouse gases emission and pollutants based on optimal economical endpoint identification. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. 502 p. (Embrapa Gado de Corte. Documentos, 216). Coordenador Roberto Giolo de Almeida. II SIGEE p. 191-194.| Biblioteca(s): Embrapa Gado de Corte. |
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| 19. | | ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; FERNANDES, P. A. P.; CASTANHEIRA, M. A.; COUTINHO, M. A. da S.; CERQUEIRA, A. G.; GONÇALVES, H. C.; LANNA, D. P.; NEPOMUCENO, N. H. C.; BARIONI, L. G.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; FREUA, M. C.; OLTJEN, J. W. BeefTrader (part III): meat industry opportunity to improve its profitability reducing greenhouse gases emission and pollutants based on optimal economical endpoint identification. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. p. 191-194. (Embrapa Gado de Corte. Documentos, 216). Coordenador: Roberto Giolo de Almeida. II SIGEE.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 20. | | BIASE, A. G.; ALBERTINI, T. Z.; BARBOSA, M.; FERNANDES, P. A. P.; CASTANHEIRA, M. A.; CERQUEIRA, A. G.; GONÇALVES, H. C.; LANNA, D. P.; NEPOMUCENO, N. H. C.; BARIONI, L. G.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; FREUA, M. C.; OLTJEN, J. W. BeefTrader (part II): optimal economical endpoint identification using nonparametric bootstrapping technique decreases greenhouse gases emission and other pollutants in feedlots. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. 502 p. (Embrapa Gado de Corte. Documentos, 216). Coordenador Roberto Giolo de Almeida. II SIGEE p. 187-190.| Biblioteca(s): Embrapa Gado de Corte. |
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| Registros recuperados : 21 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Amazônia Oriental; Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
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Data corrente: |
29/12/2016 |
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Data da última atualização: |
30/03/2017 |
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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: |
BIASE, A. G.; DIAS, C. T. dos S.; BARIONI, L. G.; ALBERTINI, T. Z.; MARTORANO, L. G.; OLTJEN, J. W.; LANNA, D. P. D.; OLIVEIRA, P. P. A.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A. |
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Afiliação: |
ADRIELE GIARETTA BIASE, Esalq/USP; CARLOS TADEU DOS SANTOS DIAS, Esalq/USP; LUIS GUSTAVO BARIONI, CNPTIA; TIAGO ZANETT ALBERTINI, Esalq/USP; LUCIETA GUERREIRO MARTORANO, CPATU; JAMES W. OLTJEN, University of California; DANTE PAZZANESE DUARTE LANNA, Esalq/USP; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; SERGIO RAPOSO DE MEDEIROS, CNPGC; ROBERTO AUGUSTO DE ALMEIDA TORRES JUNIOR, CNPGC. |
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Título: |
Parametrization of the Davis Growth Model using data of crossbred zebu cattle. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Scientia Agricola, v. 74, n. 1, p.8-17, Jan./Feb. 2017. |
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DOI: |
http://dx.doi.org/10.1590/1678-992X-2015-0284 |
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Idioma: |
Inglês |
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Conteúdo: |
The system of differential equations proposed by Oltjen et al. [1986, named Davis Growth Model (DGM)] to represent cattle growth has been parameterized with data from Bos taurus (British) and Bos indicus (Nellore) breeds. The DGM has been successfully used for simulation and decision support in the United States. However, the effect of about 30 years of genetic improvement and the use of different breeds may affect the model parameter values, which also may need to be re-estimated for crossbred animals. The aim of this study was to estimate parameter values and confidence intervals for the DGM with growth and body composition data from Zebu crossbred animals. Confidence intervals and asymptotic distribution were generated through nonparametric bootstrap with data from a field experiment conducted in Brazil. The parameters showed normal probability distribution for most scenarios. The rate constant for deoxyribonucleic acid (DNA) synthesis had a minimum increase of 156 % and the maximum of 389 %, compared to the original values and the maintenance requirement had a minimum increase of 126 % and maximum of 160 % compared to the original values. Lower limits of 95 % confidence intervals for the parameters related to maintenance and protein accretion rates were higher than the original estimates of the DGM, evidencing genetic differences of the Zebu crossbred animals in relation to the original DGM parameters. |
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Palavras-Chave: |
Asymptotic distribution; Calibração; Calibrating; Cattle growth; Crescimento do gado; Distribuição assintótica; Equações diferenciais ordinárias; Modelo de crescimento; Nonparametric bootstrap; Ordinary differential equations. |
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Thesagro: |
Ácido nucleico; Agricultura; DNA; Gado zebu; Modelo Matemático. |
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Thesaurus NAL: |
Beef cattle; Cattle; Mathematical models; Zebu. |
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Categoria do assunto: |
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L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/152540/1/AP-parametrization-Biase.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/165135/1/Parametrization-of-the-Davis-Growth-Model.pdf
|
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Marc: |
LEADER 02816naa a2200469 a 4500
001 2059601
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008 2017 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1678-992X-2015-0284$2DOI
100 1 $aBIASE, A. G.
245 $aParametrization of the Davis Growth Model using data of crossbred zebu cattle.$h[electronic resource]
260 $c2017
520 $aThe system of differential equations proposed by Oltjen et al. [1986, named Davis Growth Model (DGM)] to represent cattle growth has been parameterized with data from Bos taurus (British) and Bos indicus (Nellore) breeds. The DGM has been successfully used for simulation and decision support in the United States. However, the effect of about 30 years of genetic improvement and the use of different breeds may affect the model parameter values, which also may need to be re-estimated for crossbred animals. The aim of this study was to estimate parameter values and confidence intervals for the DGM with growth and body composition data from Zebu crossbred animals. Confidence intervals and asymptotic distribution were generated through nonparametric bootstrap with data from a field experiment conducted in Brazil. The parameters showed normal probability distribution for most scenarios. The rate constant for deoxyribonucleic acid (DNA) synthesis had a minimum increase of 156 % and the maximum of 389 %, compared to the original values and the maintenance requirement had a minimum increase of 126 % and maximum of 160 % compared to the original values. Lower limits of 95 % confidence intervals for the parameters related to maintenance and protein accretion rates were higher than the original estimates of the DGM, evidencing genetic differences of the Zebu crossbred animals in relation to the original DGM parameters.
650 $aBeef cattle
650 $aCattle
650 $aMathematical models
650 $aZebu
650 $aÁcido nucleico
650 $aAgricultura
650 $aDNA
650 $aGado zebu
650 $aModelo Matemático
653 $aAsymptotic distribution
653 $aCalibração
653 $aCalibrating
653 $aCattle growth
653 $aCrescimento do gado
653 $aDistribuição assintótica
653 $aEquações diferenciais ordinárias
653 $aModelo de crescimento
653 $aNonparametric bootstrap
653 $aOrdinary differential equations
700 1 $aDIAS, C. T. dos S.
700 1 $aBARIONI, L. G.
700 1 $aALBERTINI, T. Z.
700 1 $aMARTORANO, L. G.
700 1 $aOLTJEN, J. W.
700 1 $aLANNA, D. P. D.
700 1 $aOLIVEIRA, P. P. A.
700 1 $aMEDEIROS, S. R. de
700 1 $aTORRES JUNIOR, R. A. de A.
773 $tScientia Agricola$gv. 74, n. 1, p.8-17, Jan./Feb. 2017.
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Embrapa Agricultura Digital (CNPTIA) |
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