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An E xcel tool for deriving key photosynthetic parameters from combined gas exchange and chlorophyll fluorescence: theory and practice
Author(s) -
Bellasio Chandra,
Beerling David J,
Griffiths Howard
Publication year - 2016
Publication title -
plant, cell and environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 200
eISSN - 1365-3040
pISSN - 0140-7791
DOI - 10.1111/pce.12560
Subject(s) - photorespiration , photosynthesis , rubisco , carboxylation , chlorophyll fluorescence , electron transport chain , photosystem ii , compensation point , carbon fixation , quantum yield , stomatal conductance , chemistry , biological system , biophysics , biology , physics , fluorescence , transpiration , biochemistry , quantum mechanics , catalysis
Combined photosynthetic gas exchange and modulated fluorometres are widely used to evaluate physiological characteristics associated with phenotypic and genotypic variation, whether in response to genetic manipulation or resource limitation in natural vegetation or crops. After describing relatively simple experimental procedures, we present the theoretical background to the derivation of photosynthetic parameters, and provide a freely available E xcel‐based fitting tool ( EFT ) that will be of use to specialists and non‐specialists alike. We use data acquired in concurrent variable fluorescence–gas exchange experiments, where A / C i and light–response curves have been measured under ambient and low oxygen. From these data, the EFT derives light respiration, initial PSII (photosystem II ) photochemical yield, initial quantum yield for CO 2 fixation, fraction of incident light harvested by PSII , initial quantum yield for electron transport, electron transport rate, rate of photorespiration, stomatal limitation, R ubisco (ribulose 1·5‐bisphosphate carboxylase/oxygenase) rate of carboxylation and oxygenation, R ubisco specificity factor, mesophyll conductance to CO 2 diffusion, light and CO 2 compensation point, R ubisco apparent Michaelis–Menten constant, and R ubisco CO 2 ‐saturated carboxylation rate. As an example, a complete analysis of gas exchange data on tobacco plants is provided. We also discuss potential measurement problems and pitfalls, and suggest how such empirical data could subsequently be used to parameterize predictive photosynthetic models.