Abstract: According to the data sources, two main research directions are found in crop virtual research. One is crop geometry simulation and visualization based on external morphological parameters. Without regarding the impact of external morphology and the management measures on the crop, this type of models are focusing on the authenticity of visual effects, generally having no biological significant. Another is the primary structure-function simulation model of crop morphological structure based on simple statistics. This type of primary functional-structure model considers environmental parameters, crop developing processes and a series of important growth characteristic parameters. But most of them are empirical models, in which considering the effects of certain environmental factors on plant growth, and assuming that other environmental factors are appropriate. Thus the modeling method is not closely integrated with wheat physiological processes. The model cannot reflect the impact of changes such as instant photosynthesis, water and fertilizer dynamics on the growth of crops, and thus cannot reflect the instantaneous changes of the virtual forms of crops. The crop growth mechanism model takes data related with soil, meteorological and species as parameters to simulate the dry matter, leaf area and water-fertilizer dynamics in soil-crop system day by day, which can quantitatively describe the dynamic relationship between crop growth and environmental factors. And it is versatile, dynamic and predictive. Researchers have paid more and more attention to the integration and fusion of crop growth mechanism model with morphological structure model. Aiming at the problem that the winter wheat (Triticum aestivum L.) functional model and the three-dimensional structural model can't be well connected, the distribution of the dry matter in different organs after the wintering period and the relationship between dry matter and morphological parameters are studied for 3 wheat varieties by setting the field experiment in this paper. Based on the effective accumulated temperature and dry matter, the dry matter distribution index model and the geometrical parameters simulation model of various organs such as wheat leaf, sheath, stem and ear were constructed, and then were verified by independent data. The results showed that the ear dry matter distribution index had the best simulation effect, with the RRMSE value and EF value of 6.58% and 0.98, respectively. The distribution index of leaf, leaf sheath and stem were well simulated with he RRMSE values of 13.86%, 10.83% and 14.87% respectively, and the EF values of 0.98, 0.97 and 0.91, respectively. The ear morphological parameter model and the sheath length model performed pretty good with the RRMSE values of 7.39%, 9.61% and 6.22% for ear length, width and thickness , and the EF values of 0.83, 0.94 and 0.92, respectively. The RRMSE and EF values of leaf sheath length were 8.62% and 0.81. The simulation for sheath expansion width of leaf sheath morphology parameter model had a general simulation effect, and need to be further corrected. This series of models might take dry matter simulated from the wheat growth model as input to generate daily geometrical parameters of each organ required for three-dimensional morphological simulation of wheat main stem.