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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
22/01/2015 |
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Data da última atualização: |
24/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BAILEY, J. C.; TEDESCHI, L. O.; MENDES, E. D. M.; SAWYER, J. E.; CARSTENS, G. E. |
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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. |
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Título: |
Technical note: evaluation of bimodal distribution models to determine meal criterion in heifers fed a high-grain diet. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Journal of Animal Science, v. 90, n. 8, p. 2750-2753, aug. 2012. |
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DOI: |
10.2527/jas2011-4634 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Meal criterion. |
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Thesagro: |
Bovino; Gado; Nutrição animal. |
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Thesaurus Nal: |
beef cattle; feeding behavior. |
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Categoria do assunto: |
-- |
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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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Embrapa Pantanal (CPAP) |
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| 4. |  | ARRUDA, R. O. M.; MORAES, R. de O.; MORAES, I. O.; CAPALBO, D. M. F. Bacillus thuringiensis biopesticide by solid state fermentation in an alternative bioreactor. In: ENCUENTRO LATINOAMERICANO Y DEL CARIBE DE BIOTECNOLOGIA AGRÍCOLA, 5, 2004, Boca Chica, República Dominicana. Resúmenes de poster. Boca Chica, República Dominicana: REDBIO/FAO, 2004.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 9. | | MORAES, I. O.; CAPALBO, D. M. F.; ARRUDA, R. O. M.; DEL BIANCHI, V. L. Bacillus thuringiensis: research and development - challenges and possibilities in Latin America, mainly in the Southern Market. Biocontrol, Lima, v.2, n.1, p.71-75, 1996.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 12. | | MORAES, R. O.; MORAES, I. O.; MELO, I. S. de; CAPALBO, D. M. F.; ARRUDA, R. O. M. Obtenção de Trichoderma stromaticum por fermentação em estado sólido, visando o controle da vassoura de bruxa. In: REUNIÃO BRASILEIRA SOBRE CONTROLE BIOLÓGICO DE DOENÇAS DE PLANTAS, 10., 2009, Recife. Resumos... Recife: UFRPE, 2009. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 13. | | DALDEGAN, D. A.; FRANÇA, J. M.; CARDOSO, A. G. T.; ARRUDA, R. O.; MAIA, T. A.; MARQUES, J. V. O.; FONTES, E. M. G.; PIRES, C. S. S. Coleção Entomológica de Abelhas da Embrapa Recursos Genéticos e Biotecnologia: situação em 2022 do acervo depositado no Banco de Dados Alelo. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 28., 2022, Fortaleza. Anais... Fortaleza: SEB, 2022. p. 253| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 14. | | CATALÁN, A. I.; MIYASHIRA, G. Y.; WAGNER, R.; BENINTENDE, G.; ARRUDA, R. O. M.; MORAES, I. O.; CAPALBO, D. M. F. Efeito da variação da composição do substrato, umidade e inóculo na produção de Bacillus thuringiensis em fermentação semi-sólida. In: SIMPÓSIO NACIONAL DE FERMENTAÇÕES, 14.; 2003, Florianópolis. [Anais...] Florianópolis: Universidade Federal de Santa Catarina, Departamento de Engenharia Química e Engenharia de Alimentos, 2003.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 15. | | ARRUDA, R. O. M.; ROBERG, R. A. P.; GONZALEZ, C.; LARENTIS, A. L.; SILVEIRA, M. M.; BENINTENDE, G.; CAPALBO, D. M. F.; MORAES, I. O. Cultivo de Bacillus thuringlensis var. israelensis em meio sólido. In: SIMPÓSIO NACIONAL DE FERMENTAÇÕES, 14., Florianópolis, 2003. Anais... Florianópolis: Universidade Federal de Santa Catarina, 2003.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 16. | | MORAES, I. de O.; CAPALBO, D. M. F.; VALICENTI, F. H.; MORAES, R. de O.; MAIA, A. de H. N.; NASCIMENTO, M. L.; ARRUDA, R. O. M.; PELIZER, L. H. Case studies of Bacillus thuringiensis production and biocontrol applications. In: THANGADURAI, D.; TRIPATHI, L.; VASANTHAIAH, H. K. N.; CANTÚ, D. J. Crop improvement and biotechnology. Tamil Nadu: Bioscience, 2008. p.229-240.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 17. | | CAPALBO, D. M. F.; MORAES, I. O.; ARANTES, O. M. N.; REGIS, L. N.; FERNANDEZ-LARREA VEGA, O.; BENINTENDE, G. B.; GUIMARÃES, S. E.; ARRUDA, R. O. M.; MORAES, R. O. Produção de bactérias entomopatogênicas na América Latina. In: ALVES, S. B.; LOPES, R. B. (Ed.). Controle microbiano de pragas na América Latina. Piracicaba; FEALQ, 2008. p.239-256.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 17 | |
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