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Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions

         

摘要

The maximum carboxylation rate of Rubisco(Vcmax)and maximum rate of electron transport(Jmax)for the biochemical photosynthetic model,and the slope(m)of the Ball-Berry stomatal conductance model influence gas exchange estimates between plants and the atmosphere.However,there is limited data on the variation of these three parameters for annual crops under different environmental conditions.Gas exchange measurements of light and CO2 response curves on leaves of winter wheat and spring wheat were conducted during the wheat growing season under different environmental conditions.There were no significant differences for Vcmax,Jmax or m between the two wheat types.The seasonal variation of Vcmax,Jmax and m for spring wheat was not pronounced,except a rapid decrease for Vcmax and Jmax at the end of growing season.Vcmax and Jmax show no significant changes during soil drying until light saturated stomatal conductance(gssat)was smaller than 0.15 mol m^–2 s^–1.Meanwhile,there was a significant difference in m during two different water supply conditions separated by gssat at 0.15 mol m^–2 s^–1.Furthermore,the misestimation of Vcmax and Jmax had great impacts on the net photosynthesis rate simulation,whereas,the underestimation of m resulted in underestimated stomatal conductance and transpiration rate and an overestimation of water use efficiency.Our work demonstrates that the impact of severe environmental conditions and specific growing stages on the variation of key model parameters should be taken into account for simulating gas exchange between plants and the atmosphere.Meanwhile,modification of m and Vcmax(and Jmax)successively based on water stress severity might be adopted to simulate gas exchange between plants and the atmosphere under drought.

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  • 来源
    《农业科学学报(英文版)》 |2020年第9期|2188-2205|共18页
  • 作者单位

    Key Laboratory of Water Cycle & Related Land Surface Processes/Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 P.R.China;

    College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 P.R.China;

    Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province/Key Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration (CMA)/Lanzhou Institute of Arid Meteorology CMA Lanzhou 730020 P.R.China;

    The New Zealand Institute for Plant and Food Research Limited Hawke's Bay 4130 New Zealand;

    Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province/Key Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration (CMA)/Lanzhou Institute of Arid Meteorology CMA Lanzhou 730020 P.R.China;

    Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province/Key Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration (CMA)/Lanzhou Institute of Arid Meteorology CMA Lanzhou 730020 P.R.China;

    Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province/Key Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration (CMA)/Lanzhou Institute of Arid Meteorology CMA Lanzhou 730020 P.R.China;

    Key Laboratory of Water Cycle & Related Land Surface Processes/Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 P.R.China;

    College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 P.R.China;

    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau/Institute of Soil and Water Conservation Northwest A&F University Yangling 712100 P.R.China;

    School of Life Sciences University of Technology Sydney Sydney 2000 Australia;

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