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| Registros recuperados : 145 | |
| 65. |  | ZANOTTO, D. L.; LUDKE, J. V.; COLDEBELLA, A.; BERTOL, T. M.; CUNHA JUNIOR, A. Equações de predição para estimar o valor da energia metabolizável do milho para suínos. Suinocultura Industrial, Itu, ed. 274, ano 39, n. 01, p. 44-47, 2017.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 68. | | LUDKE, J. V.; SCHEUERMANN, G. N.; ZANOTTO, D. L.; BERTOL, T. M. Milho: a preocupação com a qualidade para alimentação de aves. Avicultura Industrial, Itu, ed. 1260, ano 108, n. 10, p. 16-23, 2016.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 74. | | DEL DUCA, L. de J. A.; GUARIENTI, E. M.; FONTANELI, R. S.; ZANOTTO, D. L. Influência de cortes simulando pastejo na composição química de grãos de cereais de inverno. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 34, n. 9, p. 1607-1614, set. 1999.| Biblioteca(s): Embrapa Trigo; Embrapa Unidades Centrais. |
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| 76. | | SCHMIDT, G. S.; MUNARI, D. P.; FIGUEIREDO, A. P. de; ZANOTTO, D. L.; LEDUR, M. C. Mudanças genéticas em linhas puras de frango de corte. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 34, n. 4, p. 623-27, abr. 1999 Título em inglês: Genetic evolution of pure paternal and maternal broiler lines.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 77. | | SANTOS FILHO, J. I. dos; HIGARASHI, M. M.; ABREU, P. G. de; ZANOTTO, D. L. Potencial de produção de gordura do efluente dos flotados oriundos do abate de suínos e frangos. In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA DE BIODIESEL, 4.; CONGRESSO BRASILEIRO DE PLANTAS OLEAGINOSAS, ÓLEOS, GORDURAS E BIODIESEL, 7., 2010, Belo Horizonte. Biodiesel: inovação tecnológica e qualidade: anais: trabalhos científicos. Lavras: UFLA, 2010. p. 661. v. 2. Projeto/Plano de Ação: 16.00.30.004| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 145 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
22/09/2017 |
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Data da última atualização: |
22/09/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BERTOL, T. M.; ZANOTTO, D. L.; COLDEBELLA, A.; LUDKE, J. V. |
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Afiliação: |
TERESINHA MARISA BERTOL, CNPSA; DIRCEU LUIS ZANOTTO, CNPSA; ARLEI COLDEBELLA, CNPSA; JORGE VITOR LUDKE, CNPSA. |
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Título: |
Development and validation of equations to predict the metabolizable energy value of corn for pigs. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Animal Science, v. 95, p. 291-301. 2017. |
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DOI: |
10.2527/jas2016.0832 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Three experiments were conducted with the aim of developing and validating an equation to predict the ME of corn for pigs from its chemical composition, physical characteristics and particle size. Exp. 1: Eight lots of corn were ground in a hammer mill, using 5 sieves with different screen opening sizes, generating 40 batches of ground corn. The chemical composition (DM, CP, ether extract, crude fiber, ADF, NDF, and ash) and physical characteristics (bulk density? BD and 1,000-kernel weight- TKW) were determined in the 8 lots and geometric mean diameter (GMD) and N-corrected ME (AMEn) were determined in the 40 batches of corn. The AMEn values were determined in 16 metabolism assays with pigs. Mathematical models were adjusted by regression analysis, based on the Akaike Information Criterion. Based on statistical parameters (R2 = 0.76 and prediction error = 1.05%), number of predictor variables, and easiness of measurements, an equation with 2 segments was chosen: y = 2845.41 + 0.9385 × BD ? 20.8784 × CP, if GMD ? 522.98 and y = 3105.75 ? 0.4978 × GMD + 0.9385 × BD ? 20.8784 × CP, if GMD > 522.98. Exp. 2 and 3: Sixty four gilts (Exp. 1; 29.5 ± 3.8 kg) and 64 barrows (Exp. 2; 29.3 ± 3.6 kg), 1 lot of corn, and 3 particle sizes (GMD = 483, 632, and 904 ?m) were used in a 3 × 2 factorial arrangement with 2 methods of diet formulation, differing in ME value of corn: ?FIX? (value from nutrient composition table) vs. ?ESTIMATED? (estimated for each particle size using the equation developed in Exp. 1). In Exp. 2, ADFI was greater (P < 0.05) and feed efficiency was lower (P < 0.05) in the diet with GMD of 904 ?m compared to the diets with GMD of 632 or 483 ?m, but only for diet formulation by the FIX method. In the treatments with GMD of 483 ?m, gilts fed with the diet formulated by the ESTIMATED method had greater (P < 0.10) ADFI, backfat, fat area, and fat:meat ratio than gilts fed the diet formulated by the FIX method. In Exp. 3, particle size and formulation method did not affect (P > 0.10) growth performance and carcass traits of barrows. The equation developed was effective to adjust the ME value of corn, considering particle size variation. However, improvement to the proposed equation is necessary to achieve greater precision for predicting corn ME. Validation of the equation with more lots of corn of different chemical compositions and densities appears necessary to assess the efficacy of the equation regarding the variation of the other predicting variables. MenosABSTRACT: Three experiments were conducted with the aim of developing and validating an equation to predict the ME of corn for pigs from its chemical composition, physical characteristics and particle size. Exp. 1: Eight lots of corn were ground in a hammer mill, using 5 sieves with different screen opening sizes, generating 40 batches of ground corn. The chemical composition (DM, CP, ether extract, crude fiber, ADF, NDF, and ash) and physical characteristics (bulk density? BD and 1,000-kernel weight- TKW) were determined in the 8 lots and geometric mean diameter (GMD) and N-corrected ME (AMEn) were determined in the 40 batches of corn. The AMEn values were determined in 16 metabolism assays with pigs. Mathematical models were adjusted by regression analysis, based on the Akaike Information Criterion. Based on statistical parameters (R2 = 0.76 and prediction error = 1.05%), number of predictor variables, and easiness of measurements, an equation with 2 segments was chosen: y = 2845.41 + 0.9385 × BD ? 20.8784 × CP, if GMD ? 522.98 and y = 3105.75 ? 0.4978 × GMD + 0.9385 × BD ? 20.8784 × CP, if GMD > 522.98. Exp. 2 and 3: Sixty four gilts (Exp. 1; 29.5 ± 3.8 kg) and 64 barrows (Exp. 2; 29.3 ± 3.6 kg), 1 lot of corn, and 3 particle sizes (GMD = 483, 632, and 904 ?m) were used in a 3 × 2 factorial arrangement with 2 methods of diet formulation, differing in ME value of corn: ?FIX? (value from nutrient composition table) vs. ?ESTIMATED? (estimated for each particle size using the... Mostrar Tudo |
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Palavras-Chave: |
Energia metabolizável. |
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Thesagro: |
Milho; Nutrição animal; Suíno. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03180naa a2200217 a 4500
001 2076155
005 2017-09-22
008 2017 bl uuuu u00u1 u #d
024 7 $a10.2527/jas2016.0832$2DOI
100 1 $aBERTOL, T. M.
245 $aDevelopment and validation of equations to predict the metabolizable energy value of corn for pigs.$h[electronic resource]
260 $c2017
520 $aABSTRACT: Three experiments were conducted with the aim of developing and validating an equation to predict the ME of corn for pigs from its chemical composition, physical characteristics and particle size. Exp. 1: Eight lots of corn were ground in a hammer mill, using 5 sieves with different screen opening sizes, generating 40 batches of ground corn. The chemical composition (DM, CP, ether extract, crude fiber, ADF, NDF, and ash) and physical characteristics (bulk density? BD and 1,000-kernel weight- TKW) were determined in the 8 lots and geometric mean diameter (GMD) and N-corrected ME (AMEn) were determined in the 40 batches of corn. The AMEn values were determined in 16 metabolism assays with pigs. Mathematical models were adjusted by regression analysis, based on the Akaike Information Criterion. Based on statistical parameters (R2 = 0.76 and prediction error = 1.05%), number of predictor variables, and easiness of measurements, an equation with 2 segments was chosen: y = 2845.41 + 0.9385 × BD ? 20.8784 × CP, if GMD ? 522.98 and y = 3105.75 ? 0.4978 × GMD + 0.9385 × BD ? 20.8784 × CP, if GMD > 522.98. Exp. 2 and 3: Sixty four gilts (Exp. 1; 29.5 ± 3.8 kg) and 64 barrows (Exp. 2; 29.3 ± 3.6 kg), 1 lot of corn, and 3 particle sizes (GMD = 483, 632, and 904 ?m) were used in a 3 × 2 factorial arrangement with 2 methods of diet formulation, differing in ME value of corn: ?FIX? (value from nutrient composition table) vs. ?ESTIMATED? (estimated for each particle size using the equation developed in Exp. 1). In Exp. 2, ADFI was greater (P < 0.05) and feed efficiency was lower (P < 0.05) in the diet with GMD of 904 ?m compared to the diets with GMD of 632 or 483 ?m, but only for diet formulation by the FIX method. In the treatments with GMD of 483 ?m, gilts fed with the diet formulated by the ESTIMATED method had greater (P < 0.10) ADFI, backfat, fat area, and fat:meat ratio than gilts fed the diet formulated by the FIX method. In Exp. 3, particle size and formulation method did not affect (P > 0.10) growth performance and carcass traits of barrows. The equation developed was effective to adjust the ME value of corn, considering particle size variation. However, improvement to the proposed equation is necessary to achieve greater precision for predicting corn ME. Validation of the equation with more lots of corn of different chemical compositions and densities appears necessary to assess the efficacy of the equation regarding the variation of the other predicting variables.
650 $aMilho
650 $aNutrição animal
650 $aSuíno
653 $aEnergia metabolizável
700 1 $aZANOTTO, D. L.
700 1 $aCOLDEBELLA, A.
700 1 $aLUDKE, J. V.
773 $tJournal of Animal Science$gv. 95, p. 291-301. 2017.
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