应用套算法估测肉羊精饲料代谢能

本试验旨在应用套算法建立肉羊精饲料代谢能估测模型。选取66只18月龄体重为(49.6±1.3)kg的杜泊×小尾寒羊F1代去势肉羊,采用完全随机区组设计分为11组,包括1个基础饲粮组和10个试验饲粮组,每组6只羊。通过消化代谢试验(为期8 d)和气体代谢试验(为期3 d)并结合套算法计算10种精饲料的消化能和代谢能,建立精饲料代谢能和其概略养分或可消化养分之间的模型。结果表明,1)10种精饲料总能、酸性洗涤纤维含量与消化能呈显著相关(P0.05),有机物含量与消化能达到极显著相关(P0.01);精饲料概略养分与代谢能之间则无显著相关性(P0.05)。2)10种精饲料的可消化养分与代谢能存在极显著相关(P0.01),所建立的预测方程为:ME=-1.907+1.344DE+1.321DDM-5.347DOM-2.093DADF(R2=0.845,n=60,P0.01);ME=-2.105+1.349DE-6.577DOM(R2=0.842,n=60,P0.01)。[ME为代谢能(MJ/kg),DE为消化能(MJ/kg),DDM为可消化干物质(%),DOM为可消化有机物(%),DA DF为可消化酸性洗涤纤维(%)。]综上所述,本试验条件下无法利用精饲料概略养分预测其代谢能,通过精饲料的可消化养分可准确预测其代谢能。

Establishment of Prediction Model of Metabolizable Energy of Concentrate for Mutton Sheep by Substitution Method

This experiment was conducted to establish prediction model of metabolizable energy of concentrate for mutton sheep by substitution method. Sixty-six castrated Dorper × thin-tailed Han F1 rams [ ( 49. 6 ± 1.3) kg)] were randomly assigned into 11 groups (1 basal diet group and 10 experimental diet groups) with 6 rams per group. Digestion and metabolism trial ( 8 days) and respirometry trial ( 3 days) combined with sub-stitution method were conducted to measure digestible energy and metabolizable energy of 10 concentrates, and to establish the models between metabolizable energy and proximate nutrients or digestible nutrients. The results showed as follows, 1) gross energy (P<0.05), acid detergent fiber content (P<0.05), and organic matter content ( P<0.01) had significant correlations with digestible energy;the proximate nutrients had no correlation with ME ( P>0.05) . 2) Digestible nutrients had significant correlations with metabolizable energy ( P<0.01) , and the equations as follows: ME=-1. 907+1. 344DE+1. 321DDM-5. 347DOM-2. 093DADF ( R2=0. 845, n=60, P<0.01);ME=-2.105+1.349DE-6.577DOM ( R2=0.842, n=60, P<0.01) . [ ME was metaboliza-ble energy ( MJ/kg) , DE was digestible energy ( MJ/kg) , DDM was digestible dry matter (%) , DOM was digestible organic matter (%) , and DADF was digestible acid detergent fiber (%) . ] In conclusion, it is un-suitable to predict metabolizable energy using the proximate nutrients, while it is accurate to predict metaboliza-ble energy using digestible nutrients of concentrate.