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8. | | BERNDT, A.; SAKAMOTO, L. S.; FERRARI, F. B.; BORBA, H.; MENDES, E. D. M.; TULLIO, R. R. Enteric methane emissions from beef cattle of different genetic groups in confinement in Brazil. In: ANNUAL MEETING OF THE EUROPEAN FEDERATION OF ANIMAL SCIENCE, 66., 2015, Warsaw. Abstracts... Warsow: Wageningen Academic, 2015. p. 135 Biblioteca(s): Embrapa Pecuária Sudeste. |
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9. | | SAKAMOTO, L. S.; MÉO FILHO, P. DE; MENDES, E. D. M.; ALENCAR, M. M. de; TULLIO, R. R.; FERRARI, F. B.; LEME, P. R.; BERNDT, A. Emissão de metano entérico de bovinos cruzados Canchim, Angus e Charolês, terminados em confinamento. In: SOTTA, E. D.; SAMPAIO, F. G.; COSTA, M. de S. N. (org.). Coletânea de fatores de emissão e remoção de gases de efeito estufa da pecuária brasileira. Brasília, DF: MAPA: SENAR, 2020. p.54-55. Biblioteca(s): Embrapa Pecuária Sudeste. |
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11. | | OLIVEIRA, L. O. F. de; ABREU, U. G. P. de; NOGUEIRA, E.; BUENO SOBRINHO, A. A.; BATISTA, D. S. do N.; MENDES, E. D. M. Desempenho de bezerros submetidos à desmama precoce no Pantanal. In: SIMPÓSIO SOBRE RECURSOS NATURAIS E SOCIOECONÔMICOS DO PANTANAL, 6.; EVENTO DE INICIAÇÃO CIENTÍFICA DO PANTANAL, 1., 2013, Corumbá, MS. Desafios e soluções para o Pantanal: resumos. Corumbá: Embrapa Pantanal, 2013. Biblioteca(s): Embrapa Pantanal. |
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12. | | NOGUEIRA, E.; ABREU, U. G. P. de; OLIVEIRA, L. O. F. de; BATISTA, D. S. do N.; MENDES, E. D. M.; BORGES, J. C. Impact of the moment of TAI and rumen protected fat supplementation for cows submitted to early weaning in native grasslands in the pantanal. In: PROCEEDINGS OF THE ANNUAL MEETING OF THE BRAZILIAN EMBRYO TECHNOLOGY SOCIETY, 27., 2013, Praia do Forte, BA. Resumos... Praia do Forte: SBTE, 2013. Publicado em: Animal Reproduction, v. 10, n. 3, July/September, 2013. Biblioteca(s): Embrapa Pantanal. |
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13. | | NOGUEIRA, E.; OLIVEIRA, L. O. F. de; ABREU, U. G. P. de; PETZOLD, H. V.; BATISTA, D. S. do N.; MENDES, E. D. M. Efeito da suplementação em "creep-feeding" sobre o desempenho de bezerros em pastagens nativas no Pantanal. In: SIMPÓSIO SOBRE RECURSOS NATURAIS E SOCIOECONÔMICOS DO PANTANAL, 6.; EVENTO DE INICIAÇÃO CIENTÍFICA DO PANTANAL, 1., 2013, Corumbá, MS. Desafios e soluções para o Pantanal: resumos. Corumbá: Embrapa Pantanal, 2013. Biblioteca(s): Embrapa Pantanal. |
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14. | | BERNDT, A.; SAKAMOTO, L. S.; FERRARI, F. B.; BORBA, H.; MENDES, E. D. M.; TULLIO, R. R.; ALENCAR, M. M. de. Performance of cross-bred cattle in confinement in Brazil. In: ANNUAL MEETING OF THE EUROPEAN FEDERATION OF ANIMAL SCIENCE, 66., 2015, Warsaw. Abstracts... Warsow: Wageningen Academic, 2015. p. 239. Biblioteca(s): Embrapa Pecuária Sudeste. |
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15. | | OLIVEIRA, L. O. F. de; ABREU, U. G. P. de; NOGUEIRA, E.; BATISTA, D. S. do N.; MENDES, E. D. M. Suplementación de vacas de corte en pre o pos-parto. Pecuária & Negócios, v. 10, n. 108, p. 80-86, julio, 2013. 6 p. Disponível também na Revista Raça e Exposição, Ano IV, n. 23, p. 57-64, 2013. Biblioteca(s): Embrapa Pantanal. |
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16. | | OLIVEIRA, L. O. F. de; ABREU, U. G. P. de; NOGUEIRA, E.; BATISTA, D. S. do N.; MENDES, E. D. M.; PUTRINO, S. M. Supplementation of calves in creep-feeding systems in native pastures in the Pantanal. In: ANNUAL MEETING BRAZILIAN SOCIETY OF ANIMAL SCIENCE, 50., 2013, Campinas. The integration of Knowledge in animal production - abstracts. Campinas: SBZ, 2013. 1CD-ROM Biblioteca(s): Embrapa Pantanal. |
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17. | | SAKAMOTO, L. S.; GUILARDI, J. H.; VILAS BOAS, D. F.; MEO FILHO, P.; MENDES, E. D. M.; ANDRADE, L. L.; TULLIO, R. R.; CECHINATTO, J. P.; LEME, P. R.; BERNDT, A. Enteric methane emissions from crossbred cattle from different breeds of bulls in confinement. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. p.429-430. (Embrapa Gado de Corte. Documentos, 216). Biblioteca(s): Embrapa Pecuária Sudeste. |
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18. | | GARCIA, A. R.; GIRO, A.; BERNARDI, A. C. de C.; PEZZOPANE, J. R. M.; PEDROSO, A. de F.; GUIMARAES, E. da S.; MENDES, E. D. M.; LEMES, A. P.; ROMANELLO, N.; BOTTA, D. Comportamento de fêmeas bovinas de corte em pastagens sem arborização, avaliado por sistema wireless de monitoramento. São Carlos, SP: Embrapa Pecuária Sudeste, 2018. 9 p. (Embrapa Pecuária Sudeste. Circular Técnica, 82). Biblioteca(s): Embrapa Pecuária Sudeste. |
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19. | | MEO FILHO, P. de; BERNDT, A.; MARCONDES, C. R.; TULLIO, R. R.; LEMES, A. P.; BOAS, D. F. V.; GUILARDI, J. H.; SAKAMOTO, L. S.; MENDES, E. D. M.; BUENO, I. C. da S. Performance of Canchim steers finished on feedlot. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 53., 2016, Gramado, RS. Anais... Gramado, RS: RASBZ, 2016. Biblioteca(s): Embrapa Pecuária Sudeste. |
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20. | | MEO FILHO, P.; BERNDT, A.; MARCONDES, C. R.; TULLIO, R. R.; LEMES, A. P.; VILAS BOAS, D. F.; GUILARDI, J. H.; SAKAMOTO, L. S.; MENDES, E. D. M.; BUENO, I. C. S. Intensities of methane emissions from Canchim steers finished in feedlots. In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. p.439-440. (Embrapa Gado de Corte. Documentos, 216). Biblioteca(s): Embrapa Pecuária Sudeste. |
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Registros recuperados : 20 | |
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Registro Completo
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
22/01/2015 |
Data da última atualização: |
24/03/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 2 |
Autoria: |
BAILEY, J. C.; TEDESCHI, L. O.; MENDES, E. D. M.; SAWYER, J. E.; CARSTENS, G. E. |
Afiliação: |
J. C. BAILEY, Department of Animal Science, Texas A&M University, College Station; L.O.TEDESCHI, Department of Animal Science, Texas A&M University, College Station; EGLEU DIOMEDES MARINHO MENDES, CPAP; J. E. SAWYER, Department of Animal Science, Texas A&M University, College Station; G. E. CARSTENS, Department of Animal Science, Texas A&M University, College Station. |
Título: |
Technical note: evaluation of bimodal distribution models to determine meal criterion in heifers fed a high-grain diet. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Journal of Animal Science, v. 90, n. 8, p. 2750-2753, aug. 2012. |
DOI: |
10.2527/jas2011-4634 |
Idioma: |
Inglês |
Conteúdo: |
Meals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defi ned as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fi tted to the log10-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fi t of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fi t for each individual. A x2 analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fi t were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater (P = 0.001) than the W-W combination (0.997 vs. 0.727). Our analysis indicated the G-W model had a statistically better fi t and is most likely the best approach to defi ne meal criterion in beef heifers fed high-grain diets. MenosMeals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defi ned as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fi tted to the log10-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fi t of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fi t for each individual. A x2 analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fi t were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater... Mostrar Tudo |
Palavras-Chave: |
Meal criterion. |
Thesagro: |
Bovino; Gado; Nutrição animal. |
Thesaurus NAL: |
beef cattle; feeding behavior. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02473naa a2200253 a 4500 001 2006379 005 2016-03-24 008 2012 bl uuuu u00u1 u #d 024 7 $a10.2527/jas2011-4634$2DOI 100 1 $aBAILEY, J. C. 245 $aTechnical note$bevaluation of bimodal distribution models to determine meal criterion in heifers fed a high-grain diet. 260 $c2012 520 $aMeals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defi ned as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fi tted to the log10-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fi t of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fi t for each individual. A x2 analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fi t were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater (P = 0.001) than the W-W combination (0.997 vs. 0.727). Our analysis indicated the G-W model had a statistically better fi t and is most likely the best approach to defi ne meal criterion in beef heifers fed high-grain diets. 650 $abeef cattle 650 $afeeding behavior 650 $aBovino 650 $aGado 650 $aNutrição animal 653 $aMeal criterion 700 1 $aTEDESCHI, L. O. 700 1 $aMENDES, E. D. M. 700 1 $aSAWYER, J. E. 700 1 $aCARSTENS, G. E. 773 $tJournal of Animal Science$gv. 90, n. 8, p. 2750-2753, aug. 2012.
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