Abstract: Crop growth simulation model has important guiding roles in managing crop growth, forecasting crop yield and analyzing economic benefit. The morphological structure model can provide powerful technical support for screening ideal crop plant type, achieving high yield, and efficiently resisting lodging, etc.. Since wheat morphological structure is complex and wheat growth visualization is difficult to realize, this study took wheat varieties Hengguan 35, Jimai 22 and Heng 4399 as experimental materials, and carried out field experiments with different varieties and nitrogen levels in Wuqing district of Tianjin. The height morphological data of wheat leaf were collected, quantitative relationship between leaf height and effective accumulated temperature of various winter wheat varieties were analyzed. Then a simulation model of winter wheat leaf height at different locations was constructed using logistic equation. Simulation model was validated by independent experiment dataset. The results showed that the absolute error was between 0.01~2.82 cm, and RMSE was between 0.32~1.52 cm. It indicated that simulation model had high precision, and this model had better predicting ability for the growth of different winter wheat varieties. With the help of simulation model and existing research findings, this study constructed the plant morphology of different winter wheat varieties under different nitrogen levels, realized the combination of wheat growth simulation model and morphological structure model, and realistically simulated the dynamic growth process of winter wheat. Thus, the growth visualization of different winter wheat varieties under different nitrogen levels was realized.

Key words: winter wheat, effective accumulated temperature, leaf height model, 3D visualization

摘要： 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。

关键词: 冬小麦, 有效积温, 叶片高度模型, 三维可视化