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机构地区:[1]江苏大学现代农业装备与技术省部共建教育部重点实验室/江苏省重点实验室,镇江212013
出 处:《农业工程学报》2011年第9期122-127,共6页Transactions of the Chinese Society of Agricultural Engineering
基 金:国家自然基金项目(31071327)
摘 要:为了建立基于生理的黄瓜生长可视化生长模型,该研究根据黄瓜地上部分对温度和有效光合辐射的响应,建立了以光温因子—辐热积(product of thermal effectiveness and PAR,TEP)为尺度的黄瓜地上部分模型,并用独立的试验数据进行了检验。模型对黄瓜叶片形态特性、叶柄长度和直径以及节间高度和直径的模拟值和实测值的符合度较好,对黄瓜主茎高度的模拟值与实测值之间有一定的差异,模型对黄瓜叶片形态特性的模拟值与实测值之间的决定系数分别为0.92、0.91、0.95,回归标准误差分别为8.5,6.9,2.8 mm;模型对叶柄长度和直径的决定系数分别为为0.89,0.93,回归标准误差分别为5.6,0.3 mm;模型对节间长度和节间直径以及主径高度的决定系数分别为0.87,0.91,0.75,回归标准误差分别为4.5、0.8、120 mm;模型对果长和果径的决定系数分别为0.85和0.92,回归标准误差分别为8.2和2.4 mm。该研究建立的辐热积模型能较准确地预测黄瓜地上部分的生长情况,可为黄瓜生长可视化系统的开发提供理论参考。The objective of the study was to construct a simulation model with morphological characters on TEP (product of thermal effectiveness and PAR) and logistic equation. An experiment for model establishment was conducted using one cultivar (Qingjin #4) with three repeat. Morphological characteristic parameter of leaf, the lengths and diameters of petiole, internode, fruit and main stem were determined. The model was validated with independent experiment data. The results showed that the simulated values agreed well with the measured ones: 1) The determined coefficient (R2) and root mean squared error(RMSE) between the simulated and measured values of morphological characteristic parameters of leaf (L1, L2, L3) were 0.92、0.91、0.95 and 8.5, 6.9, 2.8 mm, respectively; 2) The determined coefficient (R2) and root mean squared error (RMSE) between the simulated and measured values of the length and diameter of petiole was 0.89, 0.93 and 5.6, 0.3 mm respectively; 3) The determined coefficient (R2) and root mean squared error (RMSE) between the simulated and measured values of the length and diameter of internode were 0.87, 0.91 and 4.5, 0.8 mm respectively; 4) The determined coefficient (R2) and root mean squared error (RMSE) between the simulated and measured values of the length and diameter of internode was 0.75 and 120 mm respectively; 5) The determined coefficient (R2) and root mean squared error (RMSE) between the simulated and measured values of the length and diameter of fruit were 0.86, 0.92 and 8.2, 2.4 mm respectively. The results indicate that the presented model has a good performance in predicting the dynamics of each organ of cucumber above-ground in growth process. Based on the model, a visual plant model can be constructed easily.
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