研究论文

指数改进模型在大麦光合-CO2响应曲线中的适用性

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  • 1西华师范大学生命科学学院西南野生动植物资源保护重点实验室, 四川南充 637009
    2中国科学院成都生物研究所, 成都 610041
* E-mail: luofu_pzh@163.com|* E-mail: chen_weiy@163.com

收稿日期: 2013-01-11

  录用日期: 2013-05-20

  网络出版日期: 2013-07-05

基金资助

四川省教育厅自然科学面上项目(13ZB0007);西华师范大学校级科研项目(12A037);西华师范大学校级启动项目(04B010)

Applicability of modified exponential model in photosynthetic-CO2 response curve of barley

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  • 1Key Laboratory of Southwest China Wildlife Resources Conservation, College of Life Science, China West Normal University, Nanchong, Sichuan 637009, China
    2Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China

Received date: 2013-01-11

  Accepted date: 2013-05-20

  Online published: 2013-07-05

摘要

光合-CO2响应曲线是研究植物对CO2响应的重要工具。常用的光合-CO2响应曲线模型, 除直角双曲线修正模型外, 均无法准确地计算出CO2饱和点和光合能力。该文利用新的指数改进模型拟合大麦(Hordeum vulgare)光合-CO2响应曲线, 与直角双曲线修正模型、直角双曲线模型、指数模型、非直角双曲线模型进行比较, 并随机选取部分数据进行检验, 同时得到了各个光合-CO2响应曲线模型的主要生理参数, 对这些数据进行了比较分析, 讨论了各模型之间的优缺点和准确合理性。结果表明, 指数改进模型在5个模型中具有最好的精确度和合理性, 能准确地描述出大麦的光合-CO2响应曲线, 计算出CO2饱和点为484 μmol∙mol-1, 光合能力为25.9 μmol CO2∙m-2∙s-1

本文引用格式

罗辅燕,陈卫英,陈真勇 . 指数改进模型在大麦光合-CO2响应曲线中的适用性[J]. 植物生态学报, 2013 , 37(7) : 650 -655 . DOI: 10.3724/SP.J.1258.2013.00067

Abstract

Aims The photosynthetic-CO2 response curve is an important tool for understanding the response of plants to CO2. Common models of photosynthetic-CO2 response curve can not calculate the max net photosynthetic rate accurately. In our study, we used a new model called the modified exponential model to simulate the relationship between net photosynthetic rate and CO2 concentration of barley. We then compared the differences and accuracies with the modified rectangular hyperbola model, rectangular hyperbola model, nonrectangular hyperbola model and exponential model. Our objectives were to test the merit and precision of these models and provide reference for selecting the best models for the photosynthetic-CO2 response curves of plants.
Methods The CO2-response curves of Tibetan hulless barley were recorded with an infrared gas analyzer system (LI-6400). The measured data were used to simulate and test the precision of the models. Mean square error (MSE) and mean absolute error (MAE) were used to evaluate the precision of the models. Some predicted physiological parameters of the four models were compared with the measured values.
Important findings The photosynthetic-CO2 response curves of barley were best described by the modified exponential model. The CO2 saturation point and maximum net photosynthetic rate of barley obtained by the modified exponential model were 25.9 μmol CO2∙m-2∙s-1 and 484 μmol∙mol-1, respectively.

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