Two experiments were conducted to study the accuracy of predicting true metabolizable energy (TME) of ingredients for ducks from in vitro digestible energy (IVDE) determined with a computer-controlled simulated digestion system. Experiment 1 was to establish TME prediction models from the IVDE of 9 energy feed ingredients and 12 protein feed ingredients using regression analysis. Experiment 2 was to validate the accuracy of the predicted ME of 10 ingredients randomly selected from Exp. 1. Ten diets were formulated with 2 to 6 of 10 ingredients. Dietary in vivo TME values were compared with calculated values based on the TME predicted in Exp. 1. In Exp. 1, the correlation coefficients between TME and IVDE were 0.9339 (P < 0.05) in 9 energy feed ingredients and 0.8332 (P < 0.05) in 12 protein feed ingredients. No significant difference was observed on the slope and intercept of TME regression models between 9 energy feed ingredients and 12 protein feed ingredients. Therefore, the regression model of TME on IVDE for 21 feed ingredients was TME = 0.7169 × IVDE +1,224 (R² = 0.7542, P < 0.01). Determined and predicted TME differed by less than 100 kcal/kg of DM in 11 ingredients, and the difference ranged from 100 to 200 kcal/kg of DM in 5 ingredients. However, the difference between determined and predicted TME varied from 410 to 625 kcal/kg of DM in rice bran, rapeseed meal, corn gluten meal, and citric acid meal. In Exp. 2, the determined and calculated TME were comparable (3,631 vs. 3,639 kcal/kg of DM) and highly correlated (r = 0.9014; P < 0.05) in 10 diets. Determined and calculated TME differed by less than 100 kcal/kg of DM in 7 diets and by 106 to 133 kcal/kg of DM in 3 diets. These results have demonstrated that TME can be accurately predicted from IVDE in most feed ingredients, but it is less accurate for rice bran, rapeseed meal, corn gluten and citric acid meal.

进行了两个实验，以研究通过计算机控制的模拟消化系统确定的体外可消化能 (IVDE) 预测鸭成分的真实代谢能 (TME) 的准确性。实验一是利用回归分析，从9种能量饲料原料和12种蛋白质饲料原料的IVDE建立TME预测模型。实验 2 是为了验证从实验中随机选择的 10 种成分的预测 ME 的准确性。1. 10 种日粮由 10 种成分中的 2 至 6 种配制而成。将饮食体内 TME 值与基于实验中预测的 TME 计算值进行比较。1. 在 Exp. 1、TME与IVDE的相关系数 在9种能量饲料成分中分别为0.9339（P < 0.05）和0.8332（P < 0.05) 在 12 种蛋白质饲料成分中。9 种能量饲料成分和 12 种蛋白质饲料成分之间的 TME 回归模型的斜率和截距没有观察到显着差异。因此，21 种饲料成分的 TME 对 IVDE 的回归模型为 TME = 0.7169 × IVDE +1,224（R ²  = 0.7542，P  < 0.01）。确定和预测的 TME 在 11 种成分中的差异小于 100 kcal/kg DM，5 种成分的差异范围为 100 到 200 kcal/kg DM。然而，在米糠、菜籽粕、玉米蛋白粉和柠檬酸粉中，测定的和预测的 TME 之间的差异从 410 到 625 kcal/kg DM。在 Exp. 2，确定和计算的 TME 具有可比性（3,631 与 3,639 kcal/kg DM）并且高度相关（r  = 0.9014；P  < 0.05) 在 10 种饮食中。确定和计算的 TME 在 7 种饮食中的差异小于 100 kcal/kg DM，在 3 种饮食中差异为 106 至 133 kcal/kg DM。这些结果表明，可以从大多数饲料成分中的 IVDE 准确预测 TME，但对于米糠、菜籽粕、玉米蛋白和柠檬酸粕则不太准确。