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| Registros recuperados : 11 | |
| 2. |  | ROMERO PELÁEZ, R. D.; WISCHRAL, D.; CUNHA, J. R. B.; MENDES, T. D.; PACHECO, T. F.; SIQUEIRA, F. G. de; ALMEIDA, J. R. M. de. Production of enzymatic extract with high cellulolytic and oxidative activities by co-culture of Trichoderma reesei and Panus lecomtei. Fermentation, v. 8, n. 10, 522, 2022. 17 p.| Biblioteca(s): Embrapa Agroenergia. |
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| 3. | | SIQUEIRA, F. G. de; GOMES, T. G.; ARAÚJO, A. P. F; CUNHA, J. R. B; CAMELINI, C. M.; NAKAI, D. K.; MENDONCA, S. Aplicações biotecnológicas para biomassas do pós-cultivo de cogumelos comestíveis (Biotechnological Application for Spent Mushroom Substrate - SMS) In: SIMPÓSIO INTERNACIONAL SOBRE COGUMELOS NO BRASIL, 8.; SIMPÓSIO NACIONAL SOBRE COGUMELOS COMESTÍVEIS, 7., 2015, Sorocaba, SP. Anais ... Sorocaba: Uniso, 2015.| Biblioteca(s): Embrapa Agroenergia. |
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| 4. | | CUNHA, J. R. B.; CONCEIÇÃO, A. A.; VIEIRA, V. O.; DIAS, E. S.; ALMEIDA, E.; MENDONCA, S.; SIQUEIRA, F. G. de. Laccase production by macro-basidiomycetes using Jatropha curcas seed cake as substrate under solid state cultivation. In: SEMINÁRIO BRASILEIRO DE TECNOLOGIA ENZIOMÁTICA - ENZITEC, 13., 2018, Florianópolis, SC. [Anais ...]. Florianópolis, 2018. Não paginado.| Biblioteca(s): Embrapa Agroenergia. |
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| 5. | | ROMERO PELÁEZ, R. D.; SERRA, L. A.; WISCHRAL, D.; CUNHA, J. R. B.; MENDES, T. D.; PACHECO, T. F.; SIQUEIRA, F. G. de; ALMEIDA, J. R. M. de. Improvement of laccase activity in co-culture of Panus lecomtei and Sporidiobolus pararoseus and its application as an enzymatic additive in biomass hydrolysis and dye decolorization. Fermentation, v. 9, n. 11, 945, 2023.| Biblioteca(s): Embrapa Agroenergia. |
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| 6. | | CUNHA, J. R. B.; GOMES, T. G.; RIBEIRO, J. A. de A.; DIAS, E. S.; SALES-CAMPES, C.; JESUS, M. A. de; MENDONCA, S.; SIQUEIRA, F. G. de. Macrobasidiomicetos da biodiversidade amazônica como agentes degradadores de ésteres forbol. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 5., 2018, Brasília, DF. Anais ... Brasília, DF: Embrapa Agroenergia, 2018. p. 38.| Biblioteca(s): Embrapa Agroenergia. |
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| 7. | | CUNHA, J. R. B.; WISCHRAL, D.; PELÁEZ, R. D. R.; MAGALHÃES, P. de O.; GUIMARÃES, M. B.; JESUS, M. A. de; SALES-CAMPOS, C.; MENDES, T. D.; DIAS, E. S.; MENDONCA, S.; SIQUEIRA, F. G. de. Aqueous extracts of fermented macrofungi cultivated in oilseed cakes as a carbon source for probiotic bacteria and potential antibacterial activity. Metabolites, v. 13, n. 854, 2023.| Biblioteca(s): Embrapa Agroenergia. |
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| 8. | | CONCEIÇÃO, A. A.; CUNHA, J. R. B.; VIEIRA, V. O.; PELAÉZ, R. D. R.; MENDONCA, S.; ALMEIDA, J. R. M. de; DIAS, E. S.; ALMEIDA, E. G. de; SIQUEIRA, F. G. de. Bioconversion and biotransformation efficiencies of wild macrofungi. In: SINGH, B. P.; LALLAWMSANGA.; PASSARI, A. K. (Eds.). Biology of Macrofungi. Gewerbestrasse: Springer, 2019. Cap. 18. 361-379.| Biblioteca(s): Embrapa Agroenergia. |
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| 9. | | CUNHA, J. R. B.; WISCHRAL, D.; PELAEZ, R. D. R.; JESUS, M. A. de; SALES-CAMPOS, C.; CAMPANHA, R. B.; MENDES, T. D.; MENDONCA, S.; DIAS, E. S.; SIQUEIRA, F. G. de. Bioactives and extracellular enzymes obtained from fermented macrofungi cultivated in cotton and Jatropha seed cakes. Microorganisms , v. 10, n. 8, 1670, 2022.| Biblioteca(s): Embrapa Agroenergia. |
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| 10. | | VIEIRA, V. O.; CONCEIÇÃO, A. A.; CUNHA, J. R. B.; MACHADO, A. E. V.; ALMEIDA, E. G. de; DIAS, E. S.; ALCANTARA, L. M.; MILLER, R. N.; SIQUEIRA, F. G. de. A new circular economy approach for integrated production of tomatoes and mushrooms. Saudi Journal of Biological Sciences, v. 29, p. 2756?2765, 2022.| Biblioteca(s): Embrapa Agroenergia. |
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| 11. | | CASTRO, C. P. de; ARAÚJO, A. P. F.; CUNHA, J. R. B.; SOARES NETO, C. B.; CONCEIÇÃO, A. A.; ABREU, M. L. T. de; DIAS, E. S.; MENDONCA, S.; SIQUEIRA, F. G. de. Fistulina hepatica CC102: pré-tratamento biológico da torta do caroço de algodão em dietas para suínos. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 5., 2018, Brasília, DF. Anais ... Brasília, DF: Embrapa Agroenergia, 2018. p. 34.| Biblioteca(s): Embrapa Agroenergia. |
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| Registros recuperados : 11 | |
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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. |
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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Circulação/Nível: |
B - 2 |
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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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