Predicting the metabolizable energy of first and second corn harvests for piglets

Esteves, Lucas Antônio Costa; Oliveira, Newton Tavares Escocard de; Huepa, Laura Marcela Díaz; Ferreira, S. L.; Castilha, Leandro Dalcin; Pozza, Paulo César

doi:10.1590/1413-70542017416015217

Cited by 1 publication

(2 citation statements)

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“…The determined DE contents varied by 1.78 MJ/kg or 3.0%, and the ME contents varied by 1.92 MJ/kg or 3.48%. Although the study was designed to ensure access to corn samples with a high degree of variability, the average chemical compositions (DM, ash, EE, and ADF) were in agreement with previous studies [17,[21][22][23][24]. The DE of corn in the present study covered the range of published values of 16.35 MJ/kg DM [9], 16.87 MJ/kg DM [25], and 16.45 to 17.49 MJ/kg DM for five Chinese provinces in which corn was produced [17].…”

Section: Available Energy Content Of Corn Sbm and Wbsupporting

confidence: 76%

“…In addition, the results of the present study clearly show that ME content of corn can be accurately predicted from the DE content, because the correlation coefficient between DE and ME was 0.91. Some equations were previously proposed for predicting the ingredients and energy of corn for pigs; however, these involve the determination of a large number of components whose analysis is expensive or time consuming, or demand materials not normally available in the industry, such as starch, calcium, phosphorus, and GE [24].…”

Section: Regression Equations For De and Mementioning

confidence: 99%

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Regression Equations of Energy Values of Corn, Soybean Meal, and Wheat Bran Developed by Chemical Composition for Growing Pigs

Yang

Zhao

et al. 2020

Animals

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The objectives of this study were to determine the chemical compositions, digestible energy (DE), and metabolizable energy (ME) in corn, soybean meal (SBM) and wheat bran (WB) fed to growing pigs, and to develop regression equations for predicting DE and ME. Three separate experiments were conducted to determine DE and ME of corn, SBM, and WB. The DE and ME in corn were determined directly using 10 barrows allotted to a replicated 5 × 5 Latin square design, and the diets were formulated with one of 10 corn samples. The DE and ME in SBM and WB were determined by difference using two corn basal diets and 10 corn-SBM or 10 corn-SBM-WB diets, which were allotted to a replicated 6 × 6 Latin square design. Ten corn samples were obtained from the main corn producing areas of China. Ten SBM samples were obtained from nine different crushing facilities in nine provinces in China. Ten WB samples were collected from different feed mills of China. Samples were analyzed for dry matter (DM), crude protein (CP), ether extract (EE), ash, neutral detergent fiber (NDF), acid detergent fiber (ADF), gross energy (GE), and soluble carbohydrates (SCHO). The best-fit equations for corn were DE (MJ/kg DM) = 20.18 − 0.76 × EE (%) and ME (MJ/kg DM) = 5.74 + 1.11 × DE (MJ/kg DM) − 0.33 × CP (%) − 0.07 × SCHO (%). The best-fit equations for SBM were DE (MJ/kg DM) = 42.91 − 3.43 × Ash (%) − 0.20 × NDF (%) + 0.09 × ADF (%) and ME (MJ/kg DM) = −21.67 + 0.89 × DE (MJ/kg DM) − 1.06 × GE (MJ/kg DM). The best-fit equations for WB were DE (MJ/kg DM) = −7.09 + 1.54 × CP (%) − 0.25 × NDF (%) − 0.32 × ADF (%) + 0.23 × Ash (%) and ME (MJ/kg DM) = 0.02 + 0.96 × DE (MJ/kg DM). The chemical composition of corn, SBM, and WB can vary substantially from zone to zone, resulting in considerable variation in its available energy value for pig. The DE and ME of corn, SBM and WB for growing pigs can be predicted based on their chemical compositions.

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