论文部分内容阅读
【目的】建立一个温室标准切花菊的叶面积指数预测模型。【方法】根据光温对菊花(Chrysanthemum morifolium Ramat.)出叶和展叶速率的影响,通过不同定植期和不同品种的试验,以综合考虑温度、光合有效辐射和日长的生理辐热积为预测指标,建立了温室标准切花菊叶面积预测模型,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叶面积指数的预测精度较高,预测值与实测值基于1﹕1线的决定系数(R2)和回归估计标准误差(RMSE)分别为0.94和0.75。基于生理辐热积的预测模型对叶面积指数的预测精度比积温法和比叶面积法分别提高了48.2%和84.6%。【结论】本研究的叶面积指数预测模型预测精度高,模型参数少,机理性强,可以为温室标准切花菊生长和外观品质的预测与管理提供理论依据与决策支持。
【Objective】 To establish a prediction model of leaf area index of greenhouse standard cut chrysanthemum. 【Method】 Based on the effects of light temperature on the leaf emergence and leaf spreading rate of Chrysanthemum morifolium Ramat. The effects of temperature, photosynthetically active radiation and long-term physiological radiation on the growth of Chrysanthemum morifolium Ramat. Forecasting index, established a greenhouse standard cut chrysanthemum leaf area prediction model, and used independent test data to test the model. 【Result】 The results showed that the prediction accuracy of leaf area index of cut chrysanthemum was higher than that of standard chrysanthemum. The determination coefficient (R2) and the standard error of regression estimation (RMSE) based on 1: 1 line were 0.94 and 0.75 respectively. The predictive accuracy of leaf area index based on predictive model of physiological hyperthermia products was increased by 48.2% and 84.6% respectively compared with that of the method of accumulative temperature and specific leaf area. 【Conclusion】 The prediction model of leaf area index in this study has high prediction accuracy, less model parameters and strong mechanism, which can provide theoretical basis and decision support for the prediction and management of greenhouse standard cut chrysanthemum growth and appearance quality.