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作 者:邓丽[1] 张旻 冯世秀[1] DENG Li;ZHANG Min;FENG Shi-xiu(Xianhu Botanical Garden of Chinese Academy of Sciences/Shenzhen Key Laboratory of South Subtropical Plant Diversity,Shenzhen,Guangdong 518004)
机构地区:[1]深圳市中国科学院仙湖植物园/深圳市南亚热带植物多样性重点实验室,广东深圳518004
出 处:《安徽农业科学》2024年第13期101-106,153,共7页Journal of Anhui Agricultural Sciences
基 金:深圳市城市管理和综合执法局科研项目(202206)。
摘 要:利用直角双曲线模型、非直角双曲线模型、直角双曲线修正模型和指数模型,对南亚热带生境下的6种紫珠属(Callicarpa)植物进行光合参数分析和光响应曲线拟合。通过对比4种模型计算光饱和点(LSP)、光补偿点(LCP)、最大净光合速率(P_(nmax))、暗呼吸速率(R_(d))和表观量子效率(AQE)以及决定系数(R^(2))、均方根误差(RMSE)、平均绝对误差(MAE)等参数,筛选出6种紫珠属植物最适光响应模型。结果表明:直角双曲线修正模型是6种紫珠属植物进行光合研究的最适用光响应模型,杜虹花对强光和弱光的利用能力均最高,朝鲜紫珠的光合潜能最大。综上,不同紫珠属植物对光的利用能力既表现出种间差异性,又表现出种间相似性,4种光响应模型在紫珠属植物的光合参数计算上存在较大差异,但在模型的拟合优度和拟合精度上存在一致性。In this study,four light models including rectangular hyperbola model,non-rectangular hyperbolic model,modified rectangular hyperbolic model and exponential model were jointly adopted to evaluate the photosynthetic parameters and light response fitting curves of six Callicarpa Linn.species in southern subtropical regions.By comparison of the light saturation point(LSP),light compensation point(LCP),maximum net photosynthetic rate(P_(nmax)),dark respiration rate(R_(d))and apparent quantum efficiency(AQE),as well as the coefficient of determination(R^(2)),root mean square error(RMSE)and mean absolute error(MAE)derived from the four models,the most suitable light response models for these six plants were obtained.The results demonstrated that the modified rectangular hyperbolic model performed the best fitting ability for the photosynthetic study of the six Callicarpa species,and the highest light utilization ability under both strong and weak light belonged to C.formosana,and the highest photosynthetic efficiency was found in C.japonica var.Luxurians.In summary,these six Callicarpa species showed both interspecific variability and interspecific similarity in light utilization capacity,and the four light response models differed greatly in the calculation of the photosynthetic potential,however,there was consistency in the model's goodness-of-fit and fitting accuracy.
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