Department of Poultry Science, Auburn University, Auburn, AL 38649, USA.
Poult Sci. 2011 Sep;90(9):1999-2007. doi: 10.3382/ps.2011-01468.
An experiment (3 trials) was conducted to determine the AME(n) of 15 corn co-products obtained from various wet and dry milling plants, and to develop prediction equations for AME(n) based on chemical composition. Co-products included distillers dried grains with solubles (DDGS, n = 6), high-protein distillers dried grains (n = 2), corn germ (n = 2), corn germ meal, corn bran with solubles, corn gluten meal, corn gluten feed, and dehulled, degermed corn. Treatments (15) consisted of 85% inclusion of the corn-soybean meal basal diet combined with a 15% inclusion of each corn co-product, as well as a control diet containing glucose•H(2)O (15%) at the expense of the co-product. In each trial, Ross × Ross 708 chicks (10 birds per pen) were randomly assigned to 16 dietary treatments (12 replicate pens; 4 replicate pens per trial). After a 7-d diet acclimation period from 15 to 22 d of age, a 48-h total excreta collection was conducted for the determination of AME(n). Co-products were analyzed for gross energy, CP, moisture, crude fat, starch, crude fiber, ash, total dietary fiber, neutral detergent fiber, and acid detergent fiber, and hemicellulose was determined by difference. Stepwise regression resulted in the following equation: AME(n), kcal/kg of DM = 3,517 + (46.02 × % crude fat, DM basis) - (82.47 × % ash, DM basis) - (33.27 × % hemicellulose, DM basis) (R(2) = 0.89; SEM = 191; P ≤ 0.01). Removing hemicellulose from the model resulted in the following equation: AME(n), kcal/kg of DM = (-30.19 × % neutral detergent fiber, DM basis) + (0.81 × gross energy, kcal/kg of DM basis) - (12.26 × % CP, DM basis) (R(2) = 0.87; SEM = 196; P ≤ 0.01). These results indicate that nutrient composition may be used to generate AME(n) prediction equations for corn co-products fed to broiler chicks.
进行了一项实验(3 次试验),以确定来自不同湿法和干法加工工厂的 15 种玉米副产品的 AME(n),并基于化学成分开发 AME(n)的预测方程。副产品包括干酒糟及其可溶物(DDGS,n=6)、高蛋白干酒糟(n=2)、玉米胚芽(n=2)、玉米胚芽粉、玉米糠和可溶物、玉米蛋白粉、玉米蛋白粉饲料和去壳、脱胚玉米。处理(15 个)由 85%的玉米-豆粕基础日粮与 15%的每种玉米副产品混合组成,以及含有葡萄糖•H(2)O(15%)的对照日粮,以消耗副产品。在每个试验中,罗斯×罗斯 708 小鸡(每个围栏 10 只鸡)随机分配到 16 种日粮处理(12 个重复围栏;每个试验 4 个重复围栏)。从 15 日龄到 22 日龄,适应 7 天日粮后,进行 48 小时总排泄物收集,以确定 AME(n)。对副产品进行粗能、CP、水分、粗脂肪、淀粉、粗纤维、灰分、总膳食纤维、中性洗涤剂纤维和酸性洗涤剂纤维分析,通过差减法测定半纤维素。逐步回归得到以下方程:AME(n),kcal/kg DM = 3517 +(46.02×%粗脂肪,DM 基础)-(82.47×%灰分,DM 基础)-(33.27×%半纤维素,DM 基础)(R(2)=0.89;SEM=191;P≤0.01)。从模型中去除半纤维素得到以下方程:AME(n),kcal/kg DM =(-30.19×%中性洗涤剂纤维,DM 基础)+(0.81×粗能,kcal/kg DM 基础)-(12.26×%CP,DM 基础)(R(2)=0.87;SEM=196;P≤0.01)。这些结果表明,养分组成可用于生成用于肉鸡雏鸡的玉米副产品的 AME(n)预测方程。