Abstract: A mathematic model that can reliably simulate the growth of wheat would facilitate the management, production forecast and economic analysis for the farming operation. Thus, field experiments were conducted to generate data for establishing such a model. After winter dormancy and spring reviving, the growth (plant height) of 3 varieties of wheat, i.e., Hengguan 35 (Hg35), Jimai 22 (Jm22) and Heng 4399 (H4399), under varied nitrogen levels in relation to the effective accumulated atmosphere temperature during 2015-2016 was monitored. Subsequently, the logistic equations obtained were validated with data collected from separate experiments to show the plant height prediction by the models to be 0.01-2.72 cm on the absolute error, 0.4-1.26 cm on RMSE, 0.36-1.11cm on d_a, and 1.32%-3.46% on d_ap. It appeared that the models were accurate in simulating the growth of the 3 varieties of winter wheat. Based on the models, as well as relevant information gathered previously, virtual visualization of the morphology and dynamic growth process of the winter wheat was now realized.