温室标准切花菊干物质生产和分配模型

Simulation of Dry Matter Production and Partitioning of Standard Cut Chrysanthemum in Greenhouse

【目的】干物质生产与分配是菊花(Chrysanthemum morifolium Ramat.)外观品质形成的基础。本研究建立一个预测温室标准切花菊各器官干重和植株地上部分鲜重的模型,为温室标准切花菊外观品质的调控提供决策支持。【方法】根据光温对菊花生长的影响,通过不同定植期和不同品种的试验,建立以生理辐热积(Physiological product of thermal effectiveness and PAR,PTEP)为尺度的温室标准切花菊干物质生产和分配模型,并用独立的试验数据对模型进行检验。【结果】模型对温室标准切花菊的植株总干重、叶干重、茎干重、花干重和单株地上部分鲜重的模拟值与实测值的符合度较好,模拟值与实测值间1:1线的决定系数(R2)和回归估计标准误差(RMSE)分别为:0.97、0.97、0.97、0.83、0.99;67.5g·m-2、22.4g·m-2、28.2g·m-2、15.4g·m-2、3.73g/株。本模型对菊花植株干物质生产的预测精度明显高于基于光合作用驱动的生长模型(R2和RMSE分别为0.82和274.68g·m-2)。【结论】本研究建立的模型能较准确地预测温室标准切花菊的干物质生产和各个器官的干重,模型的实用性较强,可以为温室标准切花菊生产中的光温调控提供理论依据和决策支持。

【Objective】 Dry matter production and partitioning is the base of external quality formation of cut chrysanthemum.A simulation model was developed to predict the biomass production,dry weight of organs and shoots.This model was developed to look at the optimization of crop and climate management for greenhouse production of standard cut chrysanthemum.【Method】A model of dry matter production and partitioning of standard cut chrysanthemum in greenhouse was developed based on the effects of temperature and radiation on chrysanthemum growth using physiological product of thermal effectiveness and PAR（PTEP）as prediction index.Experiments with different varieties and planting dates were carried out in greenhouses to collect data to develop and validate the model.【Result】The results show that the simulated values agreed well with the observed ones.The determination coefficient（R2）and root mean squared error（RMSE）between the simulated and the measured value based on the 1：1 line for biomass production,dry weight of leaf,stem and flower,and fresh weight of shoot per plant were,respectively,0.97,0.97,0.97,0.83,0.99;67.5 g·m^-2,22.4 g·m^-2,28.2 g·m^-2,15.4 g·m^-2 and 3.73 g/plant.For the prediction of biomass production,the prediction accuracy of the PTEP based model is significantly higher than that of the photosynthesis driven crop growth model（R2 and RMSE were 0.82 and 274.68 g·m^-2,respectively）.【Conclusion】 Based on the results obtained in this study,it can be concluded that the model developed can give a satisfactory prediction of standard cut chrysanthemum biomass production and partitioning.The model developed in this study is more applicable than the photosynthesis driven crop growth model for the optimization of climate and crop management for standard cut chrysanthemum production in greenhouses.