Based on the data of the sixth and seventh Continuous Forest Inventories (CFI),this paper used the nonlinear regression model to establish the volume growth rate model of Pinus yunnanensis of individual tree with different altitudes,origin,age classes and stand density.Compared to the optimal model in the case of each index by determination coefficient and root mean square error,the model precision was inspected by sum relative error,mean relative error,absolute mean relative error and predict precision.The result showed that the volume growth rate decreased with the increase of diameter.The fitting precision of the volume growth rate model of Pinus yunnanensis of individual tree was high with different altitudes,origin,age classes and stand density.The model parameters were stable and the determination coefficient of optimal models was more than 0.8.The overall model prediction precision was more than 80 percent except for the over-mature forest with seventy percent due to the less data.The fitting precision of optimal model was high and the applicability was strong.The optimal volume growth rate models can be used to estimate the volume growth,compile the volume growth rate table and forecast the dynamic changes of Pinus yunnanensis forest resources,and provide reference value for the forest resources inventory.