温室蝴蝶兰干物质分配及产品上市期模拟研究

为对温室蝴蝶兰生育过程的基本规律和量化关系有一个清楚的理解和认识,并对其生长系统的动态行为进行预测,从而辅助进行对蝴蝶兰生长和生产系统的适时合理调控,本研究根据温室蝴蝶兰器官生长与温度和辐射的关系,建立了基于分配指数的温室蝴蝶兰干物质分配及产品上市期的模拟模型,并利用试验资料对模型进行了检验。模拟系统是采用C Builder6.0为编程语言,在Pentium(R)4 CPU、512 MB内存计算机、中文Windows XP操作平台上开发的可执行模型系统。研究结果表明,模型对地上部分干重、根干重、茎干重、叶干重、花梗和花干重的模拟结果与实测值均符合较好,模拟结果与实测值之间的拟合度值分别为0.99、0.99、0.94、0.98、0.97和0.99(均为0.01水平显著相关),预测相对误差分别为1.19%、1.79%、5.66%、1.22%、2.90%和1.53%。与已有的温室作物生长模型相比,本研究建立的模型预测精度较高、功能全面,且模型参数易获取,具有较强实用性。模型能够预测温室蝴蝶兰干物质分配及产品上市期,从而为温室蝴蝶兰生产管理和环境调控的优化提供决策支持。

Simulation of dry matter partitioning and marketing date of greenhouseSimulation of dry matter partitioning and marketing date of greenhouse Phalaenopsis aphrodita Rchb. F. flower

To understand the basic quantification principles of greenhouse Phalaenopsis aphrodita at the procreative stage and to predict the dynamics of vegetation systems so as to rationally regulate the production of P.aphrodita,a simulation model of dry matter partitioning and flower marketing date was developed and validated for greenhouse P.aphrodita according to the correlation of its vegetative development,to temperature and radiation.The model was built on C Builder6.0 and is executable on Pentium(R) 4 CPU and 512MB memory computer on Windows XP platform.Results show that the model-simulated shoot,root,stem,leaf,stalk and flower dry weight excellently match with field-measured values.Correlation coefficients between model-simulated and field-measured values are 0.99,0.99,0.94,0.98,0.97 and 0.99(all significant at 0.01);with predicted relative errors of 1.19%,1.79%,5.66%,1.22%,2.90% and 1.53% respectively.Compared with existing vegetation models for greenhouse crops,our model not only has high prediction accuracy and robust functionality but also has easily acquirable parameters and great practicality.The model accurately predicts dry matter partitioning and flower marketing date of greenhouse P.aphrodita,which provides a decision-making support for production,management and optimization of environmental controls on greenhouse P.aphrodita.