Ning Ran, Cheng Zichen, Liu Xingbo, Ban Zhibin, Guo Yuming, Nie Wei
State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Laboratory of Animal Nutrition Metabolism, Jilin Academy of Agricultural Sciences Gongzhuling, Jilin 136100, China.
Anim Biosci. 2022 Nov;35(11):1760-1770. doi: 10.5713/ab.21.0501. Epub 2022 Apr 29.
It is crucial to accurately determine the net energy (NE) values of feed ingredients because the NE system is expected to be applied to the formulation of broilers feed. The NE values of 5 wheat and 5 wheat brans were determined in 12-to 14-day old Arbor Acres (AA) broilers with substitution method and indirect calorimetry method.
A total of 12 diets, including 2 reference diets (REF) and 10 test diets (5 wheat diets and 5 wheat bran diets) containing 30% of test ingredients, were randomly fed to 864 male AA birds with 6 replicates of 12 birds per treatment. These birds were used to determine metabolizable energy (ME) (8 birds per replicate) in the chicken house and NE (4 birds per replicate) in the chamber respectively at the same time. After a 4-d dietary and environment adaptation period, growth performance, energy values, energy balance and energy utilization were measured during the following 3 d. Multiple linear regression analyses were further performed to generate prediction equations for NE values based on the chemical components and ME values. The NE prediction equation were also validated on another wheat diet and another wheat bran diet with high correlation (r = 0.98, r = 0.75).
The NE values of 5 wheat and 5 wheat bran samples are 9.34, 10.02, 10.27, 11.33, and 10.49 MJ/kg, and 5.37, 5.17, 4.87, 5.06, and 4.88 MJ/kg DM, respectively. The equation with the best fit were NE = 1.968AME-0.411×ADF-14.227 (for wheat) and NE = -0.382×CF-0.362×CP-0.244×ADF+20.870 (for wheat bran).
The mean NE values of wheat and wheat bran are 10.29 and 5.07 MJ/kg DM in AA broilers. The NE values of ingredients could be predicted by their chemical composition and energy value with good fitness.
准确测定饲料原料的净能(NE)值至关重要,因为净能体系有望应用于肉鸡饲料配方。采用替代法和间接测热法测定了12至14日龄的爱拔益加(AA)肉鸡对5种小麦和5种麦麸的净能值。
总共12种日粮,包括2种对照日粮(REF)和10种试验日粮(5种小麦日粮和5种麦麸日粮),每种日粮含30%的试验原料,随机饲喂864只雄性AA肉鸡,每个处理12只鸡,共6个重复。这些鸡分别用于同时测定鸡舍中的代谢能(ME)(每个重复8只鸡)和呼吸室内的净能(每个重复4只鸡)。经过4天的日粮和环境适应期后,在接下来的3天内测定生长性能、能量值、能量平衡和能量利用率。进一步进行多元线性回归分析,以基于化学成分和代谢能值生成净能值的预测方程。净能预测方程也在另外两种相关性较高的小麦日粮和麦麸日粮上进行了验证(r = 0.98,r = 0.75)。
5种小麦和5种麦麸样品的净能值分别为9.34、10.02、10.27、11.33和10.49 MJ/kg,以及5.37、5.17、4.87、5.06和4.88 MJ/kg干物质。拟合度最佳的方程为NE = 1.968AME - 0.411×酸性洗涤纤维 - 14.227(用于小麦)和NE = -0.382×粗脂肪 - 0.362×粗蛋白 - 0.244×酸性洗涤纤维 + 20.870(用于麦麸)。
在AA肉鸡中,小麦和麦麸的平均净能值分别为10.29和5.07 MJ/kg干物质。原料的净能值可以通过其化学成分和能量值进行良好拟合预测。