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用化学分析法预测大豆蛋白类饲料猪消化能值的模型建立 被引量:5

Estimation of the digestible energy values of soybean protein supplement with feedstuff composition in pig
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摘要 试验探讨用化学分析法预测大豆蛋白类饲料猪消化能值。选取体重(35±2)kg、遗传基础相似的健康杜×长×大三元杂交阉公猪8头,采用2个4×4拉丁方设计,运用套算法测定豆饼、豆粕、干法膨化全脂大豆等8种大豆蛋白类饲料的表观消化能(DE),分析并计算出各种饲料的常规成分。结果表明:(1)在大豆蛋白类饲料猪消化能值回归预测中,ADF是最佳预测因子。(2)最佳预测方程为①DE(MJ/kg,DM基础)=16.407-85.982ADF+0.328GE(R2=0.88,RSD=0.264%,P<0.01);②DE(MJ/kg,DM基础)=30.319-89.999ADF+9.659SCHO-184.115Ash(R2=0.95,RSD=0.189%,P<0.01);③DE(MJ/kg,DM基础)=23.882-84.418ADF-7.877NFE+19.71CF(R2=0.95,RSD=0.281%,P<0.01),上述最佳方程经检验适用于与本试验类似的饲料。 Two latin-square-designed trials were taken on 8 castrate male pigs (Duracxlandracexlarge white)to determine the Apparent Digestible Energy (DE) of protein supplement by difference method. Using same amount of these test feeds (35%), diets with certain gradient of ADF, NDF and CF contents were formulated. After analyzing all the content in the diets and test foods, the regression equations were establish between DE and these parameters by software SAS. The applying effects and limits of the regression equations were discussed as well. It was concluded that:1)All the parameters in estimating the DE of protein supplement with pigs, the ADF was the best one.2)The most effective regression equations were(1)DE (MJ/kg DM) =16.407-85.982ADF+0.328GE (R2=0.88, RSD=0.264%, P〈0.01 );(2)DE(MJ/kg DM)=30.319-89.999ADF+9.659SCHO-184.115Ash(R^2=0.95, RSD=0.189%, P〈0.01);(3)DE(MJ/kg DM)= 23.882-84.418ADF-7.877NFE+ 19.71CF(R^2=0.95, RSD=0.281%, P〈0.01 ),The regression equations listed above can also be used to estimate all the feedstuff like this experiment.
出处 《饲料工业》 2007年第9期21-25,共5页 Feed Industry
基金 国家公益性研究项目(2004DIB4J152)资助
关键词 化学分析法 大豆蛋白类饲料 消化能 chemical analysis soybean protein supplement pig digestible energy
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