非直线双曲线模型在光合光响应曲线数据分析中的应用

Primary Application on the Non-rectangular Hyperbola Model for Photosynthetic Light-Response Curve

通过对光响应曲线数据两种分析方法的比较,发现使用二项式回归来拟合光响应曲线,不能计算表观量子效率且无法解释光强超过光饱和点后,模型预测的光合速率很快下降等问题;而运用非直线双曲线模型结合SPSS软件的非线性回归,并在低光阶段辅以直线回归作补充,能较客观地计算光响应曲线相关参数并绘制出拟合图形。

Compared between two analysis methods of the photosynthetic light-response curve data, the non-rectangular hyperbola model was found to be more objective to calculate the photosynthetic parameters and simulate the photosynthetic light-response curve when the data were processed by the nonlinear statistical regression function of SPSS software and combined with linear regression in the low light period. Binomial regression curve could simulate photosynthetic light-response curve data, but it could not calculate apparent quantum yield （φ） and explain that net photosynthetic rates （Pn） predicted declines quickly when photosynthetic photo flux density（PPFD）excesses the light-saturation point.