用辐热积法模拟温室黄瓜果实生长

为了提高预测温室黄瓜产量的能力，该研究根据温室黄瓜（品种为：戴多星Cucumis sativus cv Deltestar）果实对温度和辐射的响应，建立了以辐热积（Product of thermal effectiveness and PAR,TEP）为尺度的温室黄瓜果实模型，并用独立的试验数据进行了检验。模型对温室黄瓜各节位果实果长、果径和鲜质量的模拟值与实测值的符合度较好，模型对温室黄瓜果长和果径的模拟值与实测值之间的决定系数（R2）分别为0.7325和0.5885；回归标准误差（RMSE）分别为1.64 cm和0.35 cm，而以有效积温（Growing degree days，GDD）为尺度构建的果实生长模型对果长和果径的预测结果与实测值之间的决定系数（R2）分别为0.5768和0.4893；回归标准误差（RMSE）分别为1.83 cm和0.40 cm；本模型对果实鲜质量的模拟结果与实测值之间的回归标准误差（RMSE）和决定系数（R2）分别为25.04 g 和0.6782。而基于有效积温的果实生长模型对果实鲜质量的模拟结果与实测值之间的回归标准误差（RMSE）和决定系数（R2）分别为28.52 g和0.6068。模拟精度提高了12.21%。本研究建立的辐热积模型能较准确地预测温室黄瓜各节位的果实生长，模型的实用性较强，可以为温室黄瓜生产提供理论依据和决策支持。

Simulation of cucumber fruit growth in greenhouse based on production of thermal effectiveness and photosynthesis active radiation

In order to improve the ability of predicting the yields of greenhouse cucumber, a model for fruit growth nf greenhouse cucumber was developed based on the effects of temperature and radiation on fruit growth using production of thermal and PAR (TEP) as prediction index. Experiment with other planting data was carried out in greenhouse to collect and validate the model. The results showed that the simulated values agreed well with the measured ones. The determined coefficient (R2) and root mean squared error (RMSE) between the simulated and measured values of fruit length on different leaf axils was 0.7325 and 1.64 cm, respectively. The determined coefficient (r2) and root mean squared error (RMSE) between the simulated and measured values fruit diameter on different leaf axils was 0.5885 and 0.40 cm, respectively. The determined coefficient (R2) and root mean squared error (RMSE) between the simulated and measured values of fruit fresh weight on different leaf axils was 25.04 g and 0.6782 respectively. And the determined coefficient (R2) and root mean squared error (RMSE) between the model based on growing degree days (GDD) simulated and measured values of fruit fresh weight on different leaf axils was 0.6068 and 28.52 g. The prediction accuracy of TEP based model is 12.21% higher than that of GDD. Based on the results it can be concluded that the model can give a satisfactory prediction of fruit fresh weight on different axils. The model developed in this study is applicable and can provide theoretical basis and decision support for the production of greenhouse cucumber.