[Objective]The●present●study●attempted●to●investigate●the●combined●effect●of●crop●cover●and●crop●management●practices●on●preventing●soil●loss●and●improving●the●accuracy●of●C-factor estimation.[Methods]●Six●millet●plots●with●different●treatments,（i.e.,●crop●plot●(C1),●crop-roughness●plot●(C2),●crop-crust●plot●(C3),●bare●plot●(B1),●roughness●plot●(B2),●crust●plot(B3))●were●established●and●the●soil●loss●at●four●growth●stage●was●determined●by●simulated●rainfall.●The●C●factor●was●calculated●using●soil●loss●ratio●(SLR).●The●major●factors●affecting●SLR●were●also●analyzed●and●their●correlations●with●SLR●were●then●regressed●through●numerical●simulation●using●MATLAB.●Subsequently●the●SLR●estimation●models●designed●for●soil●erosion●prediction●on●the●Loess●Plateau●could●be●built.●Finally,●the●C●factor●could●be●calculated●using●the●proposed●SLR●estimation●model●combined●with●the●distribution●curve●of●rainfall●erosivity.[Results]●Surface●roughness●and●soil●crust●can●reduce●soil●loss●in●crop●plot.●Compared●with●,●the●mean●decreasing●of●●and●●was●21%,●16.5%,●respectively.●The●model●formulas●of●crop●plot,●crop-roughness●plot,●crop-crust●plot●were●obtained,●through●validating●by●field●soil●and●water●loss●data●conducted●at●Chunhua●county,●the●model●formulas●can●achieve●accurate●prediction,●the●estimated●C●values●for●the●whole●growth●stage●were●0.30,●0.25,●0.25,●respectively,●with●the●Nash●coefficients●were●0.96,●0.87,●0.75,●respectively.[Conclusion]●These●results●could●provide●some●insights●for●estimating●C●values●at●national●scales.