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Journal of Integrative Agriculture  2020, Vol. 19 Issue (9): 2188-2205    DOI: 10.1016/S2095-3119(19)62796-6
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Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions
ZHAO Fu-nian1, 2, 3, ZHOU Shuang-xi4, WANG Run-yuan3, ZHANG Kai3, WANG He-ling3, YU Qiang1, 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
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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.
Keywords:  biochemical photosynthetic model        stomatal conductance model        maximum carboxylation rate of Rubisco        maximum rate of electron transport        drought
Received: 08 April 2019   Accepted:
Fund: 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).
Corresponding Authors:  Correspondence YU Qiang, E-mail:   
About author:  ZHAO Fu-nian, E-mail:;

Cite this article: 

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

Ahuja L R, Saseendran S A, Reddy V R, Yu Q. 2008. Synthesis, actions, and further research to improve response of crop system models to water stress. In: Ahuja L R, Reddy V R, Saseendran S A, Yu Q, eds., Response of Crops to LimitedWater: Understanding and Modeling Water Stress Effects on Plant Growth Processes. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, Madison WI. pp. 411–422.
Ali A A, Xu C, Rogers A, Fisher R A, Wullschleger S D, Massoud E C, Vrugt J A, Muss J D, McDowell N G, Fisher J B, Reich P B, Wilson C J. 2015. A global scale mechanistic model of the photosynthetic capacity. Geoscientific Model Development Discussions, 8, 6217–6266.
Baldocchi D D. 1997. Measuring and modelling carbon dioxide and water vapour exchange over a temperate broad-leaved forest during the 1995 summer drought. Plant Cell and Environment, 209, 1108–1122.
Ball J T, Woodrow I E, Berry J A. 1987. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Progress in Photosynthesis Research 7th International Congress. Martinus Nijhoff Publishers, Biggins. pp. 221–224.
Bauerle W L, Daniels A B, Barnard D M. 2014. Carbon and water flux responses to physiology by environment interactions: A sensitivity analysis of variation in climate on photosynthetic and stomatal parameters. Climate Dynamics, 42, 2539–2554.
Bauerle W L, Oren R, Way D A, Qian S S, Stoy P C, Thornton P E, Bowden J D, Hoffman F M, Reynolds R F. 2012. Photoperiodic regulation of the seasonal pattern of photosynthetic capacity and the implications for carbon cycling. Proceedings of the National Academy of Sciences of the United States of America, 109, 8612–8617.
Beeck M D, Löw M, Deckmyn G, Ceulemans R. 2010. A comparison of photosynthesis dependent stomatal models using twig cuvette field data for adult beech (Fagus sylvatica L.). Agricultural and Forest Meteorology, 150, 531–540.
Brodribb T. 1996. Dynamics of changing intercellular CO2 concentration (Ci) during drought and determination of minimum functional Ci. Journal of Plant Physiology, 111, 179–186.
Buckley T N, Mott K A. 2013. Modelling stomatal conductance in response to environmental factors. Plant Cell and Environment, 36, 1691–1699.
Bunce J A. 1998. Effects of environment during growth on the sensitivity of leaf conductance to changes in humidity. Global Change Biology, 4, 269–274.
Cifre J, Bota J, Escalona J M. 2005. Physiological tools for irrigation scheduling in grapevine (Vitis vinifera L.): An open gate to improve water-use efficiency? Agricultural Ecosystem Environment, 106, 159–170.
Colello G D, Grivet C, Sellers P J, Berry J A. 1998. Modeling of energy, water and CO2 flux in a temperate grassland ecosystem with SiB2: May to October 1987. Journal of Atmoshere Science, 55, 1141–1169.
Damour G, Simonneau T, Cochard H, Urban L. 2010. An overview of models of stomatal conductance at the leaf level. Plant, 33, 1419–1438.
Driever S M, Lawson T, Andralojc P J, Raines C M, Parry A J. 2014. Natural variation in photosynthetic capacity, growth, and yield in 64 field-grown wheat genotypes. Journal Experimental Botany, 65, 4959–4973.
Egea G, Verhoef A, Vidale P L. 2011. Towards an improved and more flexible representation of water stress in coupled photosynthesis-stomatal conductance models. Agricultural and Forest Meteorology, 151, 1370–1384.
Farquhar G D, Von C S, Berry J A. 1980. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta, 149, 78–90.
Feng Z Z, Pang J, Kobayashi K, Zhu J, Ort D R. 2015. Differential responses in two varieties of winter wheat to elevated ozone concentration under fully open-air field conditions. Global Change Biology, 17, 580–591.
Fleisher D H, Dathe A, Timlin D J, Reddy V R. 2015. Improving potato drought simulations: Assessing water stress factors using a coupled model. Agricultural and Forest Meteorology, 200, 144–155.
Grassi G, Vicinelli E, Ponti F, Cantoni L, Magnani F. 2005. Seasonal and interannual variability of photosynthetic capacity in relation to leaf nitrogen in a deciduous forest plantation in northern Italy. Tree Physiology, 25, 349–360.
Grossman C S, Kimball B A, Hunsaker D J, Long S P, Garcia R L,Kartschall T, Wall G W, Printer P J, Wechsung F, LaMorte R L. 1999. Effects of elevated atmospheric CO2 on canopy transpiration in senescent spring wheat. Agricultural and Forest Meteorology, 93, 95–109.
Hikosaka K, Ishikawa K, Borjigidai A, Muller O, Onoda Y, Atkin O K, Borland A M, Hodge A. 2006. Temperature acclimation of photosynthesis: Mechanisms involved in the changes in temperature dependence of photosynthetic rate. Journal of Experiemental Botany, 57, 291–302.
Iio A, Yokoyama A, Takano M, Nakamura T, Fukasawa H, Nose Y, Kakubari Y. 2008. Interannual variation in leaf photosynthetic capacity during summer in relation to nitrogen, leaf mass per area and climate within a Fagus crenata crown on Naeba Mountain, Japan. Tree Physiology, 28, 1421–1432.
Katarina O, Marek K, Marian B, Marek Z, Pavol S, Bo S H. 2016. Genotypically identifying wheat mesophyll conductance regulation under progressive drought stress. Frontiers in Plant Science, 7, 1–14.
De Kauwe M G, Kala J, Lin Y S, Pitman A J, Medlyn B E, Duursma R A, Abramowitz G, Wang Y P, Miralles D G. 2015. A test of an optimal stomatal conductance scheme within the CABLE land surface model. Geoscience Model Development, 8, 431–452.
De Kauwe M G, Lin Y S, Wright I J, Medlyn B E, Crous K Y, Ellsworth D S, Maire V, Prentice I C, Atkin O K, Rogers A, Niinemets U, Serbin S P, Meir P, Uddling J, Togashi H F, Tarvainen L, Weerasinghe L K, Evans B J, Ishida F Y, Domingues T F. 2016. A test of the ‘one-point method’ for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis. New Phytologist, 210, 1130–1144.
Keenan T, Sabate S, Gracia C. 2010. Soil water stress and coupled photosynthesis-conductance models: Bridging the gap between conflicting reports on the relative roles of stomatal, mesophyll conductance and biochemical limitations to photosynthesis. Agricultural and Forest Meteorology, 150, 440–453.
Kemanian A R, Stöckle C O, Huggins D R. 2005. Transpiration-use efficiency of barley. Agricultural and Forest Meteorology, 130, 1–11.
Kim S H, Lieth J H. 2003. A coupled model of photosynthesis, stomatal conductance and transpiration for a rose leaf (Rosa hybrida L.). Annal of Botany, 91, 771–781.
Kosugi Y, Matsuo N. 2006. Seasonal fluctuations and temperature dependence of leaf gas exchange parameters of co-occurring evergreen and deciduous trees in a temperate broad-leaved forest. Tree Physiology, 26, 1173–1184.
Lei H M, Yang D W, Shen Y, Liu Y, Zhang Y. 2011. Simulation of evapotranspiration and carbon dioxide flux in the wheat-maize rotation croplands of the North China Plain using the Simple Biosphere Model. Hydrology Process, 25, 3107–3120.
Limousin J M, Misson L, Lavoir A V, Martin N K, Rambal S. 2010. Do photosynthetic limitations of evergreen quercus ilex leaves change with long-term increased drought severity? Plant Cell and Environment, 33, 863–875.
Liu F L, Andersen M N, Jensen C R. 2009. Capability of the ‘Ball-Berry’ model for predicting stomatal conductance and water use efficiency of potato leaves under different irrigation regimes. Scientia Horticulturae, 122, 346–354.
Masutomi Y, Ono K, Mano M, Maruyama A, Miyata A. 2016. A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v.1) Part I: Model description. Geoscience Model Development Discussions, 9, 4133–4154.
Medlyn B E, Dreyer E, Ellsworth D, Forstreuter M, Harley P C, Kirschbaum M U F, Roux X L, Montpied P, Strassemeyer J, Walcroft A. 2002. Temperature response of parameters of a biochemically based model of photosynthesis. II. A review of experimental data. Plant Cell and Environment, 25, 1167–1179.
Medrano H, Escalona J M, Bota J, Gulías J, Flexas J. 2002. Regulation of photosynthesis of C3 plants in response to progressive drought: Stomatal conductance as a reference parameter. Annals of Botany, 89, 895–905.
Medrano H, Flexas J, Galmés J. 2009. Variability in water use efficiency at the leaf level among Mediterranean plants with different growth forms. Plant and Soil, 317, 17–29.
De Miguel M, Sanchez G D, Cervera M T, Aranda I. 2012. Functional and genetic characterization of gas exchange and intrinsic water use efficiency in a full-sib family of Pinus pinaster Ait. in response to drought. Tree Physiology, 32, 94–103.
Miner G L, Bauerle W L. 2017. Seasonal variability of the parameters of the Ball-Berry model of stomatal conductance in maize (Zea mays L.) and sunflower (Helianthus annuus L.) under well-watered and water-stressed conditions. Plant Cell and Environment, 40, 1874–1886.
Miner G L, Bauerle W L. 2019. Seasonal responses of photosynthetic parameters in maize and sunflower and their relationship with leaf functional traits. Plant Cell and Environment, 42, 1561–1574.
Miner G L, Bauerle W L, Baldocchi D D. 2016. Estimating the sensitivity of stomatal conductance to photosynthesis: A review. Plant Cell and Environment, 40, 1214–1238.
Muraoka H, Saigusa N, Nasahara K N, Noda H, Yoshino J, Saitoh T M, Nagai S, Murayama S, Koizumi H. 2010. Effects of seasonal and interannual variations in leaf photosynthesis and canopy leaf area index on gross primary production of a cool-temperate deciduous broadleaf forest in Takayama, Japan. Journal of Plant Research, 123, 563–576.
Ono K, Maruyama A, Kuwagata T, Mano M, Takimoto T, Hayashi K, Hasegawa T, Miyata A. 2013. Canopy-scale relationships between stomatal conductance and photosynthesis in irrigated rice. Global Change Biology, 19, 2209–2220.
Osuna L J, Baldocchi D D, Kobayashi H, Dawson E T. 2015. Seasonal trends in photosynthesis and electron transport during the Mediterranean summer drought in leaves of deciduous oaks. Tree Physiology, 35, 485–500.
R Development Core Team. 2014. R: A language and environment for statistical computing, Vienna, Austria.  [2015-05-06].
Raab N, Meza F J, Franck N, Bambach N. 2015. Empirical stomatal conductance models reveal that the isohydric behavior of an Acacia caven Mediterranean Savannah scales from leaf to ecosystem. Agricultural and Forest Meteorology, 213, 203–216.
Rogers A. 2014. The use and misuse of Vcmax in earth system models. Photosynthesis Research, 119, 15–29.
Sala A, Tenhunen J D. 1996. Simulations of canopy net photosynthesis and transpiration in Quercus ilex L. under the influence of seasonal drought. Agricultural and Forest Meteorology, 78, 203–222.
Seidel S J, Rachmilevitch S, Schütze N, Lazarovitch N. 2016. Modelling the impact of drought and heat stress on common bean with two different photosynthesis model approaches. Environmental Modelling Software, 81, 111–121.
Sellers P J, Dickinson R E, Randall D A, Betts A K, Hall F G, Berry J A, Collatz G J, Denning A S, Mooney H A, Nobre C A. 1997. Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science, 275, 502–509.
Sellers P J, Randall D A, Collatz G J, Berry J A, Field C B, Dazlich D A, Zhang C, Collelo G D, Bounoua L. 1996. A revisedland surface parameterization (SiB2) for atmospheric GCMs. Part I: Model formulation. Journal of Climate, 9, 676–705.
Shimono H, Masumi O, Meguru I, Hirofumi N, Kazuhiko K, Hasegawa T. 2010. Diurnal and seasonal variations in stomatal conductance of rice at elevated atmopheric CO2 under fully open-air conditions. Plant Cell and Environment, 33, 322–331.
Slafer G A, Rawson H M. 1995. Base and optimum temperatures vary with genotype and stage of development in wheat. Plant Cell and Environment, 18, 671–679.
Sun J, Sun J, Feng Z Z. 2015. Modelling photosynthesis in flag leaves of winter wheat (Triticum aestivum L.) considering the variation in photosynthesis parameters during development. Functional Plant Biology, 42, 1036–1044.
Tatsumi K, Kuwabara Y, Motorayashi T. 2019. Monthly variability in the photosynthetic capacities, leaf mass per area and leaf nitrogen contents of rice (Oryza sativa L.) plants and their correlations. Journal of Agricultural Meteorology, 75, 111–119.
Urban O, Hrstka M, Zitová M, Holiová P, Mirka P, Sprtova M, Klem K, Calfapietra C, Angelis P D, Marek M V. 2012. Effect of season, needle age and elevated CO2 concentration on photosynthesis and rubisco acclimation in Picea abies. Plant Physiology and Biochemistry, 58, 135–141.
Vote C, Hall A, Charlton P. 2015. Carbon dioxide, water and energy fluxes of irrigated broad-acre crops in an Australian semi-arid climate zone. Environmental Earth Sciences, 73, 449–465.
Wang F H, He Z H, Sayre K, Li S D, Si J S, Feng B, Kong L G. 2009. Wheat cropping systems and technologies in China. Field Crop Research, 111, 181–188.
Wang J, Yu Q, Li J, Li L H, Li X G, Yu G R, Sun X M. 2006. Simulation of diurnal variations of CO2, water and heat fluxes over winter wheat with a model coupled photosynthesis and transpiration. Agricultural and Forest Meteorology, 137, 194–219.
Way D A, Stinziano J R, Berghoff H, Oren R, Cernusak L. 2017. How well do growing season dynamics of photosynthetic capacity correlate with leaf biochemistry and climate fluctuations? Tree Physiology, 37, 1–10.
Wong S C, Cowan I R, Farquhar G D. 1979. Stomatal conductance correlates with photosynthetic capacity. Nature, 282, 424–426.
Wong S C, Cowan I R, Farquhar G D. 1985. Leaf conductance in relation to rate of CO2 assimilation. III. Influences of water stress and photoinhibition. Journal of Plant Physiology, 78, 830–834.
Xu L K, Baldocchi D D. 2003. Seasonal trends in photosynthetic parameters and stomatal conductance of blue oak (Quercus douglasii) under prolonged summer drought and high temperature. Tree Physiology, 23, 865–877.
Yu Q, Liu Y Q, Liu J D, Wang T D. 2002. Simulation of leaf photosynthesis of winter wheat on Tibetan Plateau and in North China Plain. Ecology Modelingl, 155, 205–216.
Yu Q, Zhang Y G, Liu Y F, Shi P L. 2004. Simulation of the stomatal conductance of winter wheat in response to light, temperature and CO2 changes. Annals of Botany, 93, 435–441.
Zhao F N, Lei J, Wang R Y, Zhang K, Wang H L, Yu Q. 2018. Determining agricultural drought for spring wheat with statistical models in a semi-arid climate. Journal of Agricultural Meteorology, 74, 162–172.
Zhao F N, Wang R Y. 2014. Discrimination of drought occurrence for rainfed spring wheat in semi-arid area based on pattern recognition. Transactions of the Chinese Society of Agricultural Engineering, 30, 124–132.
Zhou S X, Duursma R A, Medlyn B E, Kelly J W G, Prentice I C. 2013. How should we model plant responses to drought? An analysis of stomatal and non-stomatal responses to water stress. Agricultural and Forest Meteorology, 182, 204–214.
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