麦麸猪消化能与能量消化率预测方程的建立

本试验旨在测定麦麸的猪消化能(DE)及麦麸各化学成分对DE与能量消化率(DCE)的影响,分析用麦麸化学成分建立其DE与DCE的预测方程。试验选用12头三元杂交(杜×大×长)去势公猪初始体重为(36.6±2.9)kg],采用2个6×6拉丁方试验设计(6期,11种饲粮),应用全收粪法测定10种不同产地和批次麦麸的DE,通过分析麦麸原料中的粗蛋白质(CP)、粗纤维(CF)、酸性洗涤纤维、中性洗涤纤维、淀粉(St)、粗脂肪、粗灰分、总能与DE及DCE之间的相关关系,筛选出最佳的预测因子并建立预测方程。结果表明:10种麦麸的平均DE为11.72 MJ/kg(干物质基础),平均DCE为61.31%,St为DE和DCE的最佳预测因子。推荐DE预测方程:DE=0.31×St+3.71(R2=0.76,RSD=0.42,P<0.01)、DE=-0.91×CF-0.71×CP+33.80(R2=0.76,RSD=0.35,P<0.01)。推荐DCE预测方程:DCE=1.70×St+22.28(R2=0.76,RSD=2.89,P<0.01),DCE=-5.02×CF-3.65×CP+182.81(R2=0.80,RSD=1.79,P<0.01)。由此可知,本试验利用麦麸原料营养成分建立的DE及DCE的预测方程相关指数较高,且由本试验结果预测的DE值比较准确。

Prediction Equations for Digestible Energy and Digestibility Coefficient of Energy of Wheat Bran for Pigs

The experiment was conducted to estimate digestible energy(DE) and digestibility coefficient of energy(DCE) in order to establish prediction equations for DE and DCE of wheat bran based on the chemical composition.Twelve growing crossbred barrows Duro×Landrace×Large White,initial BW=(36.6±2.9) kg] were used in two 6×6 Latin square designs(six periods,eleven diets).The DE and DCE of 10 wheat brans in different wheat product areas and batches were determined by total feces collection method.The optimum prediction factor was selected to establish prediction for DE and DCE based on correlation relationship between DE or DCE and chemical composition including crude protein(CP),crude fiber(CF),acid detergent fiber(ADF),neutral detergent fiber(NDF),starch(St),ether extract(EE),ash and gross energy(GE).The results showed that the average DE of 10 wheat brans was 11.72 MJ/kg for dry matter(DM) and a mean value of 61.31% for DCE.St was the best prediction factor for predicting DE and DCE.The recommended prediction equations for DE were DE=0.31×St+3.71(R2=0.76,RSD=0.42,P<0.01) and DE=-0.91×CF-0.71×CP+33.80(R2=0.76,RSD=0.35,P<0.01).The recommended prediction equations for DCE were DCE=1.70×St+22.28(R2=0.76,RSD=2.89,P<0.01) and DCE=-5.02×CF-3.65×CP+182.81(R2=0.80,RSD=1.79,P<0.01).In conclusion,the prediction equations for DE and DCE of wheat bran based on nutrients composition have relatively higher correlation indices,and the DE values predicted using the results of this study are relatively more accurate than those predicted using the other studies.