中文摘要：

【目的】建立小麦籽粒蛋白质组分含量的动态模拟模型，以期为预测小麦籽粒品质状况提供关键技术支持。【方法】通过定量分析不同品种和水氮处理下小麦籽粒蛋白质组分含量的变化过程，构建了小麦籽粒蛋白质组分含量随花后生长度日（GDD）的动态模拟模型。模型采用幂函数方程描述了清蛋白含量随花后GDD的动态变化，对数函数方程描述了醇溶蛋白和谷蛋白含量的变化过程；并以籽粒氮素和水分因子描述了不同水氮状况对小麦籽粒蛋白质组分含量变化的定量影响。同时利用独立的观测资料对所构建的模型进行了检验。【结果】模型对不同温度下灌浆期籽粒清蛋白、球蛋白、醇溶蛋白、谷蛋白含量预测的均方根差分别为0．44％、0．58％、0．53％和0．59％；对成熟期籽粒蛋白质组分含量预测的均方根差分别为0．41％、0．56％、0．75％和0．56％。【结论】模型对不同生长条件下小麦籽粒蛋白质组分含量的变化动态具有较好的预测性，从而为模拟小麦籽粒品质和完善小麦生长模拟系统奠定了基础。

英文摘要：

[ Objective ] Modelling grain protein composition in wheat is of significant importance for evaluating wheat grain quality. [ Method] Based on time-course observations on grain protein components under varied nitrogen rates and water regimes with different cultivars, the change patterns in contents of grain protein components with growth progress and environmental factors were characterized, and a dynamic model was developed to simulate formation processes of grain protein components in wheat grains. The dynamic content of albumin with growing degree days （GDD） after anthesis could be described with a power model, and the contents of gliadlin and glutenin could be described with a logarithmic model. The effects of nitrogen and water conditions on grain protein components were quantified with nitrogen and water factors. The model was validated with independent experiment data. [Result] The mean RMSEs of four grain protein components during filling stage under different temperatures were 0.44%, 0.58%, 0.53% and 0.59%, respectively, and the mean RMSEs at maturity were 0.41%, 0.56%, 0.75% and 0.56%, respectively. [ Conclusion] The results indicate that the present model has a good performance in predicting dynamic contents of grain protein components in wheat, which have laid a foundation for simulating wheat grain quality and improving wheat growth system.