Estimation of biochemical parameters from leaf photosynthesis

Authors

  • Ken-Loong Chew University of Technology, Sydney
  • Tim Langtry University of Technology, Sydney
  • Yakov Zinder University of Technology, Sydney
  • Qiang Yu University of Technology, Sydney
  • Longhui Li University of Technology, Sydney

DOI:

https://doi.org/10.21914/anziamj.v53i0.5106

Keywords:

constrained nonlinear regression, photosynthesis rate

Abstract

The objective of measuring leaf photosynthesis using infrared gas analysis is to determine key indicators of plant eco-physiology, including light and CO2 compensation and saturation points, and critical thresholds of temperature. These and other biochemical parameters in photosynthesis models define specific response curves of photosynthetic rate to environmental variables, such as light intensity, temperature, and CO2. Since these parameters cannot regularly be measured in the field, modellers normally adopt laboratory values as universal ones even though the values of these parameters may vary across plant species. This study investigates the identification of parameter values from data sets obtained from field measurement. References
  • J. T. Ball, I. E. Woodrow, and J. A. Berry. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In M. Nijhoff, editor, Progress in photosynthesis research, pages 221--224. Kluwer Academic Publishers, 1986.
  • O. Bjorkman, M. R. Badger, and P. A. Armond. Response and adaptation of photosynthesis to high temperatures. In N. C. Turner and C. J. Kramer, editors, Adaptation of plants to water and high temperature stress, pages 233--249. Wiley-Interscience, New York, 1980.
  • S. T. Buckland. Monte Carlo confidence intervals. Biometrics, 40:811--817, 1984. doi:10.2307/2530926
  • G. J. Collatz, J. T. Ball, C. Grivet, and J. A. Berry. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agricultural and Forest Meteorology, 54(2--4):107--136, 1991. doi:10.1016/0168-1923(91)90002-8,
  • G. D. Farquhar, S. von Caemmerer, and J. A. Berry. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta, 149:78--90, 1980. doi:10.1007/BF00386231,
  • G. D. Farquhar, S. von Caemmerer, and J. A. Berry. Models of photosynthesis. Plant Physiology, 125:42--45, 2001. doi:10.1104/pp.125.1.42
  • L. Gu, S. G. Pallardy, K. Tu, B. E. Law, and S. D. Wullschleger. Reliable estimation of biochemical parameters from {C3} leaf photosynthesis---intercellular carbon dioxide response curves. Plant, Cell and Environment, 33:1852--1874, 2010. doi:10.1111/j.1365-3040.2010.02192.x
  • Wolfram Research Inc. Mathematica. Wolfram Research, Inc., Champaign, Illinois, Version 8.0, 2010.
  • R. Leuning. Modelling stomatal behaviour and and photosynthesis of eucalyptus grandis. Australian Journal of Plant Physiology, 17:159--175, 1990. doi:10.1071/PP9900159
  • R. Leuning. A critical appraisal of a combined stomatal-photosynthesis model for C3 plants. Plant, Cell and Environment, 18(4):339--355, 1995. doi:10.1111/j.1365-3040.1995.tb00370.x
  • I. E. Woodrow and J. A. Berry. Enzymatic regulation of photosynthetic CO2 fixation in C3 plants. Annual Review of Plant Physiology and Plant Molecular Biology, 39:533--594, 1988. doi:10.1146/annurev.pp.39.060188.002533
  • Q. Yu, Y. Liu, J. Liu, and T. Wang. Simulation of leaf photosynthesis of winter wheat on Tibetan Plateau and in North China Plain. Ecological Modelling, 155(2-3):205--216, 2002. doi:10.1016/S0304-3800(02)00123-0
  • Q. Yu, Y. Zhang, Y. Liu, and P. Shi. Simulation of the stomatal conductance of winter wheat in response to light, temperature and CO2 changes. Annals of Botany, 93:435--441, 2004. doi:10.1093/aob/mch023

Author Biographies

Ken-Loong Chew, University of Technology, Sydney

School of Mathematical Sciences

Tim Langtry, University of Technology, Sydney

School of Mathematical Sciences Associate Professor

Yakov Zinder, University of Technology, Sydney

School of Mathematical Sciences

Qiang Yu, University of Technology, Sydney

Plant Functional Biology and Climate Change Cluster

Longhui Li, University of Technology, Sydney

Plant Functional Biology and Climate Change Cluster

Published

2012-06-16

Issue

Section

Proceedings Engineering Mathematics and Applications Conference