Wang Yuming, Yin Liting, Zhang Hu, Li Ke, Li Dailin, Zhao Feng
The State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Newhope Liuhe Co. Ltd., Beijing 100102, China.
Anim Nutr. 2022 Mar;8(1):52-60. doi: 10.1016/j.aninu.2021.04.002. Epub 2021 Sep 8.
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 ( < 0.05) in 9 energy feed ingredients and 0.8332 ( < 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 ( = 0.7542, < 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 ( = 0.9014; < 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.
进行了两项试验，以研究利用计算机控制的模拟消化系统测定的体外消化能（IVDE）预测鸭饲料原料真代谢能（TME）的准确性。试验1旨在通过回归分析，根据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。试验2旨在验证从试验1中随机选择的10种原料预测代谢能的准确性。用这10种原料中的2至6种配制了10种日粮。将日粮的体内TME值与基于试验1中预测的TME计算值进行比较。在试验1中，9种能量饲料原料的TME与IVDE之间的相关系数为0.9339（P<0.05），12种蛋白质饲料原料的相关系数为0.8332（P<0.05）。9种能量饲料原料和12种蛋白质饲料原料的TME回归模型的斜率和截距未观察到显著差异。因此，21种饲料原料的TME对IVDE的回归模型为TME = 0.7169×IVDE + 1224（R² = 0.7542，P<0.01）。11种原料的实测TME与预测TME相差不到100 kcal/kg DM，5种原料的相差范围为100至200 kcal/kg DM。然而，米糠、菜籽粕、玉米蛋白粉和柠檬酸渣的实测TME与预测TME之间的差异在410至625 kcal/kg DM之间。在试验2中，10种日粮的实测TME与计算TME具有可比性（3631 vs. 3639 kcal/kg DM）且高度相关（R = 0.9014；P<0.05）。7种日粮的实测TME与计算TME相差不到100 kcal/kg DM，3种日粮相差106至133 kcal/kg DM。这些结果表明，大多数饲料原料的TME可以根据IVDE准确预测，但米糠、菜籽粕、玉米蛋白粉和柠檬酸渣的预测准确性较低。
