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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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| Acesso ao texto completo restrito à biblioteca da Embrapa Uva e Vinho. Para informações adicionais entre em contato com cnpuv.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
14/01/2013 |
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Data da última atualização: |
14/01/2013 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
LEOLATO, L. S.; BARROS, C. de A.; SOUZA, R. B. de; BOGIX, A. dos S.; KOVALESKI, A. |
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Afiliação: |
Lucieli S. Leolato, UCS; Cláudio de A. Barros, UERGS; Ricardo B. de Souza, UCS; Aline dos S. Bogix, UCS; ADALECIO KOVALESKI, CNPUV. |
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Título: |
Comportamento de acasalamento de adultos selvagens de Anastrepha fraterculus (Wied.,1830) (Diptera:Tephritidae) em laboratório. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 24., 2012, Curitiba. Anais web. Curitiba: SEB: UFPR, 2012. |
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Idioma: |
Português |
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Thesagro: |
Fruticultura. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00571nam a2200157 a 4500
001 1945085
005 2013-01-14
008 2012 bl uuuu u0uu1 u #d
100 1 $aLEOLATO, L. S.
245 $aComportamento de acasalamento de adultos selvagens de Anastrepha fraterculus (Wied.,1830) (Diptera$bTephritidae) em laboratório.
260 $aIn: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 24., 2012, Curitiba. Anais web. Curitiba: SEB: UFPR$c2012
650 $aFruticultura
700 1 $aBARROS, C. de A.
700 1 $aSOUZA, R. B. de
700 1 $aBOGIX, A. dos S.
700 1 $aKOVALESKI, A.
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Embrapa Uva e Vinho (CNPUV) |
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