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Prediction Equations of Growth Performance and Metabolizable Energy From in Vitro Digestible Energy Determined With a
Guoyi Niu1, Yujing Zhang1, Tingrui Zhang2
1Faculty of Animal Science and Technology, Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, China.
Abstract:
Two experiments were conducted to establish the prediction equations of growth performance and apparent metabolizable energy (AME) on chemical composition and enzymatic hydrolysate gross energy (EHGE) of corn, soybean meal (SBM), corn gluten meal (CGM), and wheat bran (WB) in chickens. Experiment 1 established the prediction equations of EHGE of four ingredients on chemical composition. In experiment 2, prediction equations of growth performance and AME based on EHGE of diets in chickens was developed. The variation was high for ether extract (EE) and crude protein (CP) of corn (6.78, 9.56) and WB (15.42, 10.41). The coefficient of variation of EE was higher than those of other ingredients in SBM and CGM. Two, seven, and eight equations for predicting the EHGE of corn, CGM, and WB based on dry matter (DM), GE, CP, and EE were established, respectively. However, statistical analysis showed that prediction equations of SBM were not significant. The prediction equations of ADFI, F/G and AME on EHGE of diets were ADFI = -2.143 * EHGEd + 54.066 (R2 = 0.955), F/G = -0.256 * EHGEd + 5.935 (R2 = 0.954), AME = 0.719 * EHGEd + 3.547 (R2 = 0.937), respectively. These results indicated that chemical compositions and the EHGE of corn, CGM, and WB could predict the growth performance and AME for chickens.
