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依据温室温光条件与甜瓜单株叶面积的关系,建立了甜瓜叶面积指数(LAI)模型,结合已有的光合作用驱动的作物生长模型,建立了适合我国种植技术的甜瓜光合作用与干物质积累动态模型。利用不同基质、品种和播期的试验资料对模型进行了检验。结果表明,本模型较用比叶面积和叶干重的SLA法及用积温与叶面积的函数的GDD法更能准确地模拟温室甜瓜的LAI和植株总干重。LAI的模拟值与实测值之间的决定系数(R2)和回归估计标准误(RMSE)分别为0.867和0.404,植株总干重的模拟值与实测值之间的R2和RMSE分别为0.887和645 kg.hm-2。用本模型模拟LAI的精度分别比SLA法和GDD法提高78%和40%;模拟植株总干重的精度分别比SLA法和GDD法提高57%和36%。本模型不仅改善了甜瓜叶面积和干物质生产的模拟精度,而且提高了模型的实用性。
According to the relationship between the temperature and light conditions in the greenhouse and the leaf area of melon, the LAI model of melon was established. Combined with the existing photosynthesis-driven crop growth model, the photosynthesis and dry matter Accumulate dynamic model. The model was tested by using test data of different substrates, varieties and sowing date. The results showed that LAI and total dry weight of greenhouse muskmelon were more accurately simulated by this model than by the method of SLA with specific leaf area and leaf dry weight and GDD method using the function of accumulated temperature and leaf area. The coefficient of determination (R2) and the standard error of regression (RMSE) between simulated and measured values of LAI were 0.867 and 0.404, respectively. The R2 and RMSE between simulated and measured values of total dry weight were 0.887 and 645 kg.hm-2. The accuracy of LAI simulation with this model was improved by 78% and 40% respectively compared with SLA and GDD methods. The accuracy of total dry weight of simulated plants was 57% and 36% higher than that of SLA and GDD respectively. The model not only improves the simulation accuracy of melon leaf area and dry matter production, but also improves the practicability of the model.