作物生长模拟模型对作物生长管理调控、产量预测和经济效益分析等有重要指导作用,形态结构模型为作物理想株型筛选、高产、高效、抗倒伏等提供了有力技术支撑。针对小麦形态结构复杂,生长可视化不易实现的问题,以冬小麦品种济麦22、衡观35和衡4399为材料,在天津市武清区开展了不同小麦品种和施氮水平的田间试验,采集小麦叶片高度形态数据,分析各品种冬小麦返青后叶片高度和有效积温的定量关系,用Logistic方程构建冬小麦返青后不同叶位叶片高度模拟模型。经数据检验,叶片高度模型绝对误差在0.01~2.82 cm之间,根均方差(RMSE)在0.32~1.52 cm之间,表明所建模拟模型精度较高,该模型对不同品种冬小麦生长具有较好的预测性。借助该模拟模型和已有研究成果,构造了不同品种、不同施氮水平下的冬小麦植株形态,实现了小麦生长模拟模型和形态结构模型的有机结合,逼真模拟冬小麦返青后动态生长过程,实现了不同品种冬小麦不同施氮水平下的生长可视化。 The crop growth simulation model plays an important guiding role in the regulation of crop growth management, yield forecasting and economic benefit analysis. The morphological structural model provides a powerful technical support for the crop type selection, high yield, high efficiency and lodging resistance. In view of the complex morphological structure of wheat and difficult visualization of growth, the field trials of different wheat varieties and nitrogen application rates were conducted in winter wheat varieties Jimai 22, Henguan 35 and Heng 4399, The leaf height profile data were used to analyze the quantitative relationship between leaf height and effective accumulated temperature of winter wheat after regreening. Logistic equation was used to construct the leaf height simulation model of different leaf positions after returning to green in winter wheat. The data showed that the absolute error of the leaf height model was between 0.01 and 2.82 cm and the root mean square error (RMSE) was between 0.32 and 1.52 cm, indicating that the accuracy of the model was higher. The model had better growth for different varieties of winter wheat Predictability. With the help of the simulation model and the existing research results, the plant morphology of winter wheat under different nitrogen and nitrogen levels was constructed. The organic combination of wheat growth simulation model and morphological structure model was realized. The dynamic growth process of winter wheat after greening was realized. Visualization of Growth of Different Varieties of Winter Wheat under Different Nitrogen Levels.