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

doi:10.1016/S2095-3119(19)62796-6

Journal of Integrative Agriculture ›› 2020, Vol. 19 ›› Issue (9): 2188-2205.DOI: 10.1016/S2095-3119(19)62796-6

收稿日期:2019-04-08 出版日期:2020-09-01 发布日期:2020-08-04

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

ZHAO Fu-nian^{1, 2, 3}, ZHOU Shuang-xi⁴, WANG Run-yuan³, ZHANG Kai³, WANG He-ling³, YU Qiang^{1, 2, 5, 6}

¹ 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
² College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, P.R.China
³ 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
⁴ The New Zealand Institute for Plant and Food Research Limited, Hawke’s Bay 4130, New Zealand
⁵ 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
⁶ School of Life Sciences, University of Technology Sydney, Sydney 2000, Australia

Received:2019-04-08 Online:2020-09-01 Published:2020-08-04
Contact: Correspondence YU Qiang, E-mail: yuq@igsnrr.ac.cn
About author:ZHAO Fu-nian, E-mail: zhaofn@iamcma.cn;
Supported by:
This research was jointly supported by the National Natural Science Foundation of China (41375019, 41730645, and 41275118) and the China Special Fund for Meteorological Research in the Public Interest (Major projects) (GYHY201506001-2).

摘要/Abstract

Abstract:

The maximum carboxylation rate of Rubisco (V_cmax) 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 V_cmax, J_max or m between the two wheat types. The seasonal variation of V_cmax, Jmax and m for spring wheat was not pronounced, except a rapid decrease for V_cmax and J_maxat the end of growing season. V_cmax and J_max show no significant changes during soil drying until light saturated stomatal conductance (g_ssat) 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 g_ssat at 0.15 mol m^–2 s^–1. Furthermore, the misestimation of V_cmax 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 V_cmax (and J_max) successively based on water stress severity might be adopted to simulate gas exchange between plants and the atmosphere under drought.

Key words: biochemical photosynthetic model , stomatal conductance model , maximum carboxylation rate of Rubisco , maximum rate of electron transport , drought

. [J]. Journal of Integrative Agriculture, 2020, 19(9): 2188-2205.

ZHAO Fu-nian, ZHOU Shuang-xi, WANG Run-yuan, ZHANG Kai, WANG He-ling, YU Qiang. Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions[J]. Journal of Integrative Agriculture, 2020, 19(9): 2188-2205.

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

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