Chin J Plant Ecol ›› 2021, Vol. 45 ›› Issue (4): 420-428.DOI: 10.17521/cjpe.2020.0326

• Research Articles • Previous Articles    

Investigation on CO2-response model of stomatal conductance for plants

YE Zi-Piao1, YU Feng2,3, AN Ting1, WANG Fu-Biao1, KANG Hua-Jing2,3,4,*   

  1. 1College of Math and Physics, Jinggangshan University, Ji’an, Jiangxi 343009, China
    2Wenzhou Academy of Agricultural Sciences, Wenzhou, Zhejiang 325006, China
    3Wenzhou Key Laboratory of Adding Carbon Sinks and Reducing Carbon Emissions of Agriculture, Forestry and Fishery Ecosystem, Wenzhou, Zhejiang 325006, China
    4Southern Zhejiang Key Laboratory of Crop Breeding of Zhejiang Provence, Wenzhou, Zhejiang 325006, China
  • Received:2020-10-09 Accepted:2021-01-16 Online:2021-04-20 Published:2021-03-09
  • Contact: KANG Hua-Jing
  • Supported by:
    National Natural Science Foundation of China(31960054);National Natural Science Foundation of China(31560069)


Aims To quantify the responses of stomatal conductance (gs) to CO2 concentration (gs-Ca) under current and future climate conditions, it is necessary to build a generally applicable model suitable for simulating this process at plant leaf levels.

Methods The response curves (An-Ca) of photosynthesis of soybean (Glycine max) and wheat (Triticum aestivum) to CO2 were fitted using data collected from a portable photosynthetic apparatus (LI-6400). Based on the comparison between the traditional Michaelis-Menten model (M-M model) and the CO2 response model developed by Ye, a new gs-Ca response model was proposed. Then, the measured gs-Ca curves of soybean and wheat were fitted with the new model. The model results were compared with those of the traditional model and the corresponding observation data to judge the rationality of the model.

Important findings The An-Ca model developed by Ye could fit well the An-Ca curve of soybean and wheat, and the coefficient of determination (R2) is as high as 0.999. Although the R 2 values of M-M model fitting the An-Ca curves of soybean and wheat were also high, the fitting curves deviated from the observation at higher CO2 concentrations. Meanwhile, M-M model greatly overestimated the maximum photosynthetic rate and could not estimate the saturation CO2 concentrations. Therefore, it was more feasible to developgs-Ca model based on the An-Ca model of Ye. The new model of gs-Ca could fit well the gs-Ca curves of soybean and wheat, and the R 2 were 0.995 and 0.994, respectively. Moreover, the maximum stomatal conductance (gs-max), the minimum stomatal conductance (gs-min) and the CO2 concentration corresponding to gs-min (Cs-min) could also be generated directly. gs-max of soybean and wheat fitted by the gs-Ca model was 0.686 and 0.481 mol·m-2·s-1, respectively, and there was no significant difference between the fitted values and corresponding observation values (0.666 and 0.471 mol·m-2·s-1, respectively). The new model of gs-Ca could also obtain the minimum gs (gs-min) of soybean and wheat (0.271 and 0.297 mol·m-2·s-1, respectively), and there was also no significant difference between the fitted values and corresponding observation values (0.279 and 0.293 mol·m-2·s-1, respectively). In addition, the new model of gs-Ca generated the Cs-min values of 741.45 and 1 112.43 μmol·mol -1for soybean and wheat, respectively, and also showed no significant difference from the observed value (732.78 and 1 200.34 μmol·mol-1, respectively). Consequently, the gs-Ca model developed in this paper can be used as an effective mathematical tool to quantitatively study the effect of stomatal conductance on CO2 concentration.

Key words: stomatal conductance, CO2 response model, CO2 concentration, photosynthesis