Department of Animal Science, Faculty of Agriculture and natural sources, University of Tehran, Karaj, Iran.
University of Georgia, Athens, GA 30602, USA; Department of Poultry Science, University of Georgia, Athens, GA 30602, USA.
Poult Sci. 2023 May;102(5):102587. doi: 10.1016/j.psj.2023.102587. Epub 2023 Feb 15.
The objectives of this experiment were to determine the AMEn content of different samples of corn gluten meal (CGM) and canola meal (CM) by a reference diet method and to develop prediction equations based on the chemical composition to estimate the AMEn value of CGM and CM in broilers. A total of 300 one-day-old male broiler chicks were randomly assigned to fifteen treatments (14 experimental diet and 1 reference diet) with 4 replicates of each with 5 birds per replicate. At first, birds were fed a starter diet from 0 to 10 d of age, and then, a grower diet from 11 to 23 d of age. To determine the AMEn content, the test diet consisted of 60% reference diet, 38% each test CGM or CM, and 2% minor ingredients. To adaptation, the broilers were fed experimental diets for 4 d, and then feces were collected on 28 d. The gross energy values and chemical compositions among the CGM and CM from different origins were significantly different. The AMEn values of the CGM samples varied from 3,123 to 3,918 kcal/kg, and for the CM, the range was from 1,578 to 2,109 kcal/kg. At the end of the experiment, data were analyzed with SPSS software, and a regression equation was obtained based on the chemical composition. The best equations were selected based on the standard of prediction and regression adjusted R. The equation, AMEn = 49.196 × CP + 80.87 × EE (SEP 180.99; adjusted R 0.97), was selected to predict the AMEn value of CGM, and the equation, AMEn = 631.55 × EE + 16.716 × CP (SEP 55.3; adjusted R 0.94), was selected to predict the AMEn value of CM.
本实验的目的是通过参考饲料法测定不同玉米蛋白粉（CGM）和菜粕（CM）样品的代谢能值（AME），并基于化学组成建立预测方程，以估计肉鸡对 CGM 和 CM 的 AMEn 值。将 300 只 1 日龄雄性肉鸡随机分配到 15 个处理组（14 个实验饲料和 1 个对照饲料），每个处理组有 4 个重复，每个重复有 5 只鸡。首先，鸡从 0 日龄到 10 日龄饲喂起始饲料，然后从 11 日龄到 23 日龄饲喂生长饲料。为了确定 AMEn 值，试验饲料由 60%的对照饲料、38%的每种试验 CGM 或 CM 和 2%的少量辅料组成。为了适应，肉鸡饲喂试验饲料 4 天，然后在 28 天收集粪便。不同来源的 CGM 和 CM 的总能值和化学成分差异显著。CGM 样品的 AMEn 值从 3123 到 3918kcal/kg 不等，而 CM 的范围从 1578 到 2109kcal/kg 不等。实验结束后，用 SPSS 软件对数据进行分析，并根据化学成分建立回归方程。根据预测标准和回归调整后的 R 值选择最佳方程。选择的方程为 AMEn=49.196×CP+80.87×EE（SE 为 180.99；调整后的 R 为 0.97），用于预测 CGM 的 AMEn 值，选择的方程为 AMEn=631.55×EE+16.716×CP（SE 为 55.3；调整后的 R 为 0.94），用于预测 CM 的 AMEn 值。
