Pesti G M
Department of Poultry Sciences, University of Georgia, Athens 30602.
Poult Sci. 1991 Jan;70(1):173-6. doi: 10.3382/ps.0700173.
The data from two published experiments were used to determine whether feed consumption prediction equations could be improved by the addition of coefficients for levels of protein and energy in the diet. The two experiments were conducted from 20 to 44 wk of age with hens housed in cages. Diets contained primarily corn, dehulled soybean meal, wheat middlings, and poultry oil. When the standard form of feed consumption prediction equations was fitted to the data, only the coefficient for egg mass (b3) was different from zero (P less than .10): MEI = b0 + b1 BWn + b2 delta g + b3 EM where MEI = metabolizable energy intake; BW = average body weight (kilograms), delta g = daily body weight change (grams); n = .65, .75, 1, or 2; and EM = daily egg mass output in grams. Three published equations that have been used to predict feed intake based on body weight and egg mass output were chosen for evaluation. For two equations the residual MEI (observed-predicted) was found to be predictable from protein or energy levels fed. Inserting dietary protein and dietary energy data for the feed decreased the observed error in equations to predict MEI, but the effect was small.
利用两项已发表实验的数据来确定，通过添加日粮中蛋白质和能量水平的系数，饲料消耗预测方程是否能够得到改进。这两项实验在20至44周龄的笼养母鸡中进行。日粮主要包含玉米、去皮豆粕、小麦麸和禽油。当将饲料消耗预测方程的标准形式拟合到数据时，只有蛋重系数（b3）不为零（P小于0.10）：MEI = b0 + b1 BWn + b2 δg + b3 EM，其中MEI = 代谢能摄入量；BW = 平均体重（千克），δg = 每日体重变化（克）；n = 0.65、0.75、1或2；EM = 每日蛋重产量（克）。选择了三个已发表的基于体重和蛋重产量来预测采食量的方程进行评估。对于其中两个方程，发现残余MEI（观测值 - 预测值）可根据所饲喂的蛋白质或能量水平进行预测。将饲料的日粮蛋白质和日粮能量数据代入方程中，可降低预测MEI时的观测误差，但效果较小。
