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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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Registro original: |
Embrapa Pantanal (CPAP) |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
13/03/2020 |
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Data da última atualização: |
13/03/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
CAPALBO, D. M. F.; MACDONALD, P.; FERNANDES, P. M. B; RUBINSTEIN, C. P.; VICIÉN, C. |
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Afiliação: |
DEISE MARIA FONTANA CAPALBO, CNPMA; PHIL MACDONALD, Canadian Food Inspection Agency; PATRICIA MACHADO BUENO FERNANDES, UFES; CLARA RUBENSTEIN, Bayer Crop Science; CARMEN VICIÉN, Universidad de Buenos Aires. |
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Título: |
Familiarity in the context of risk assessment of transgenic crops: focus on some countries in the Americas |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Frontiers in Bioengineering and Biotechnology, v. 7, article 463, Jan. 2020. |
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Páginas: |
7 p. |
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DOI: |
10.3389/fbioe.2019.00463 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Problem formulation is the formal opening stage of a risk assessment that determines its purpose and scope and hence guides the gathering of information data. The concepts of familiarity and history of safe use are an integral part of problem formulation. These concepts do not replace the case-by-case approach and are not taken as safety standards but are valuable components of the process that shape the generation of plausible, testable risk hypotheses. The International Life Sciences Institutes in Brazil and Argentina have facilitated numerous discussions on the scientific principles for risk assessment of transgenic crops in the Latin American region in the past 5?6 years. The session held at ISBR 15th elaborated on the familiarity concept and derived tools and their role in the evolution of risk evaluation criteria. Examples of how different countries in the Americas interpret and apply these conceptual tools show that familiarity is a valuable concept, although terms are very often confused and vaguely defined. Formalizing these terms with clear definitions and scope of application in guidelines and regulatory documents would reduce ambiguity, enhance predictability, and add transparency to the evaluation processes. |
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Palavras-Chave: |
Familiarity; Harmonization; History of safe use; Problem formulation; Regulatory framework. |
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Thesagro: |
Organismo Transgênico; Planta Transgênica. |
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Thesaurus NAL: |
risk assessment; Transgenic plants. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/211857/1/Capalbo-Famiiarity-Context-2019.pdf
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Marc: |
LEADER 02184naa a2200301 a 4500
001 2121244
005 2020-03-13
008 2020 bl uuuu u00u1 u #d
024 7 $a10.3389/fbioe.2019.00463$2DOI
100 1 $aCAPALBO, D. M. F.
245 $aFamiliarity in the context of risk assessment of transgenic crops$bfocus on some countries in the Americas$h[electronic resource]
260 $c2020
300 $a7 p.
520 $aAbstract: Problem formulation is the formal opening stage of a risk assessment that determines its purpose and scope and hence guides the gathering of information data. The concepts of familiarity and history of safe use are an integral part of problem formulation. These concepts do not replace the case-by-case approach and are not taken as safety standards but are valuable components of the process that shape the generation of plausible, testable risk hypotheses. The International Life Sciences Institutes in Brazil and Argentina have facilitated numerous discussions on the scientific principles for risk assessment of transgenic crops in the Latin American region in the past 5?6 years. The session held at ISBR 15th elaborated on the familiarity concept and derived tools and their role in the evolution of risk evaluation criteria. Examples of how different countries in the Americas interpret and apply these conceptual tools show that familiarity is a valuable concept, although terms are very often confused and vaguely defined. Formalizing these terms with clear definitions and scope of application in guidelines and regulatory documents would reduce ambiguity, enhance predictability, and add transparency to the evaluation processes.
650 $arisk assessment
650 $aTransgenic plants
650 $aOrganismo Transgênico
650 $aPlanta Transgênica
653 $aFamiliarity
653 $aHarmonization
653 $aHistory of safe use
653 $aProblem formulation
653 $aRegulatory framework
700 1 $aMACDONALD, P.
700 1 $aFERNANDES, P. M. B
700 1 $aRUBINSTEIN, C. P.
700 1 $aVICIÉN, C
773 $tFrontiers in Bioengineering and Biotechnology$gv. 7, article 463, Jan. 2020.
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Embrapa Meio Ambiente (CNPMA) |
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