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Simulation of the development of leaf number for greenhouse cut chrysanthemum flower

机译:温室切花菊花叶数发育的模拟

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Based on the effects of temperature and radiation on the leaf number of chrysanthemum, experiments involving different stem numbers per plant, and planting dates were carried out under greenhouse conditions in Shanghai from 2005 to 2006. Models were developed to measure the effectiveness of mean day temperature and daily light integral for predicting the leaf unfolding of multi-stem chrysanthemum. Independent experimental data were used to validate the models. The results showed a significant increase in leaf number per plant with a decrease in stem number per ground area. The tendency to develop a sigmoid leaf unfolding pattern was also observed within days after planting. The determination coefficient (R2) and root mean squared error (RMSE) based on the 1:1 line for the leaf number per plant with treatments involving 42 stems, 84 stems, and 126 stems·m-2 were 0.99, 1.95; 0.99, 2.27; and 0.97, 2.51, respectively. The predicted precision of the logistic model based on the effectiveness of temperature and light is 67% higher than that of the model based on growth degree days (GDD). Overall, the model presented in this study can be employed to optimize the light and temperature management of multi-stem cut chrysanthemum with different stem numbers and planting densities under greenhouse conditions.
机译:根据温度和辐射对菊花叶片数的影响,在上海至2005年至2006年的温室条件下,进行了涉及每株植物不同茎数和播种日期的试验。建立了测量平均日温度有效性的模型和每日光积分来预测多茎菊花的叶片展开。独立的实验数据用于验证模型。结果表明,每株植物的叶数显着增加,而每地面面积的茎数则减少。种植后几天内也观察到了乙状叶展开模式的发展趋势。基于42根,84根和126根·m-2的处理的每株植物的叶数的基于1:1线的测定系数(R2)和均方根误差(RMSE)分别为0.99、1.95; 0.99,2.27;分别为0.97和2.51。基于温度和光的有效性的逻辑模型的预测精度比基于生长天数(GDD)的模型的预测精度高67%。总体而言,本研究中提出的模型可用于优化温室条件下不同茎数和种植密度的多茎切花菊花的光照和温度管理。

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