摘要
对日光温室茄子'茄杂一号'和'黑贝一号'的光合响应曲线和日变化进程进行了数学回归模拟分析。结果发现,日光温室茄子两个品种的Pn PAR和Pn CO2响应曲线的多项式回归方程相关性较高,而且高次多项式的相关性呈现增大的趋势,拟合效果更为理想。Pn日进程与PAR、Ta、CO2、Hr的回归模拟模型中,四元一次4互作加效应和四元积效应回归模拟方程的相关性较高,但以前者对Pn日进程的拟合度更高。
This paper highlights the studies of photosynthetic simulation in greenhouse eggplant F_1 hybrid 'QIEZA-1' and 'HEIBEI-1' by regression model. The results showed that correlation of polynomial regression equation was higher than other nonlinear equations on simulating response curves of both Pn/PAR and Pn/CO_2, and correlation of higher-degree polynomial equation showed increasing trend and its fitting effect was better than lower-degree ones. There was greater marked correlation on four-variate four-mutual linear regression equation between diurnal variation of photosynthesis and four environmental factors including PAR, T_a, CO_2 and H_r, r=0.937 9, than the others. There was also greater marked correlation on four-variate product regression equation, r=0.840 1. But the former imitated much better measured Pn than the later.
出处
《河北农业大学学报》
CAS
CSCD
北大核心
2005年第2期44-47,共4页
Journal of Hebei Agricultural University
基金
河北省教育厅科学基金项目
河北省农业综合开发办公室项目资助
关键词
日光温室
茄子
光合
数学模型
solar greenhouse
eggplant
photosynthesis
regression model
