温室番茄叶面积与干物质生产的模拟

 根据光温对作物叶面积的影响，提出了辐热积（product of thermal effectiveness and PAR，TEP）的概念。根据试验资料构建了利用辐热积模拟番茄（Lycopersicon esculentum Mill）叶面积动态的数学模型，并将其与已有的光合作用和干物质生产模拟模型相结合，构建了温室番茄干物质生产动态模型。利用不同品种、基质和地点的试验资料对模型进行了检验。结果表明，与传统的比叶面积法和有效积温法相比，辐热积法显著提高了温室番茄叶面积的预测精度，提高了光合作用和干物质生产的模拟精度。辐热积法对番茄叶面积的预测结果与1:1直线之间的决定系数R 2和统计回归标准误差RMSE分别为0.9743和0.0515 m2·株-1，对植株总干物质量的预测结果与1:1直线之间的R 2和RMSE分别为0.9360和522.7104 kg·ha-1；采用辐热积法对植株总干物质量的预测精度比有效积温法和比叶面积法分别提高56％和72％。

Simulation of Leaf Area and Dry Matter Production in Greenhouse Tomato

A simulation model for greenhouse tomato leaf area was developed based on the product of thermal effectiveness and PAR (TEP). Then a process based greenhouse tomato dry matter production simulation model was developed by integrating the greenhouse tomato leaf area simulation model. The model was validated by independent experimental data from Shanghai and Nanjing. The results showed that the model can predict leaf area and total dry weight of greenhouse tomato more accurately than traditional models, which calculates leaf area (LA) with specific leaf area (SLA) and growing degree day (GDD). When using the model based on TEP, the coefficient of determination (R2) and the root mean squared error (RMSE) between simulated and measured leaf area (LA) based on the 1:1 line are 0.9743 and 0.0515 m2·plant-1, respectively. When using the model based on TEP, the R2 and RMSE between simulated and measured total dry weight based on the 1:1 line are 0.9360 and 522.7104 kg·ha-1, respectively. For the prediction of plant total dry weight, the prediction accuracy of TEP based model is 56% and 72%, respectively, higher than that of GDD and SLA based model.