花生藤、红薯藤与油菜秸秆分级指数参数的模型化研究
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摘要
本研究建立了粗饲料分级指数(Grading Index,GI)参数的预测模型。所测定的秸秆饲料花生藤、红薯藤与油菜秸秆的干物质采食量(Dry Matter Voluntary Intake,DMI)预测模型为DMI(g/d·kg W0.75)=30.03/NDF(%DM),以酸性洗涤纤维(Acid Detergent Fiber,ADF)为预测因子的代谢能(Metabolizable Energy,ME)预测模型为ME=-0.141ADF+11.468。
The modeling of grading index(GI) parameters was built in this study. The dry matter intake(DMI) predicting model of peanut vine(PV), sweet potato vine(SPV) and rape straw(RS) was: DMI(g/d·kg W0.75) = 30.03 / NDF(%DM), the metabolizable energy(ME) predicting model of these straws when the Acid Detergent Fiber(ADF) as the predictor was: ME=-0.141ADF+11.468.
引文

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