Abstract: The objectives of this experiment were to use the data of chemical composition to develop prediction equations for nutrient digestibility and energy concentrations of meat sheep feeds. Twelve crossbred rams (Dorper♂×Smalltailed Han♀) fitted with ruminal cannulas and body weight of (47.21±1.01) kg were used in a uncompleted 12×4 Latin square arrangement. Chemical composition, nutrient digestibility and energy concentrations of each ration were determined and calculated by regression method. The results showed that, digestibility of dry matter (DM), organic matter (OM), gross energy (GE) and crude protein (CP) were positively related to their contents in diet (P<0.01), whereas they were negatively related to neutral detergent fiber (NDF) (P<0.01). Digestibility of NDF was negatively related to OM, GE and CP in diet (P<0.05), and positively related to the NDF(P<0.01). There were positive relationship between concentrations of digestible energy (DE) and metabolizable energy (ME) and the content of OM, GE and CP in diet (P<0.01), whereas they were negatively related (P<0.01) to NDF. Prediction equation of energy digestibility (ED) and ME based on chemical composition were ED(%)=194.907-0.987NDF(%)-0.901OM(%)-0.603CP(%) (R2=0.966, n=12, P<0.001) and ME(MJ·kg-1DM)=50.245-0.136NDF(%)-0.394OM(%)-0.012CP(%) (R2=0.901, n=12, P<0.001), respectively. These results indicated that there were significant relationship between nutrient digestibility, energy concentrations and chemical composition, and the equations developed in the present experiment could accurately predict nutrient digestibility and energy concentrations using chemical composition in meat sheep feeds.