Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 426205
Title Estimation of photosynthesis parameters for a modified Farquhar–von Caemmerer–Berry model using simultaneous estimation method and nonlinear mixed effects model
Author(s) Qian, T.; Elings, A.; Dieleman, J.A.; Gort, G.; Marcelis, L.F.M.
Source Environmental and Experimental Botany 82 (2012). - ISSN 0098-8472 - p. 66 - 73.
DOI http://dx.doi.org/10.1016/j.envexpbot.2012.03.014
Department(s) Horticultural Supply Chains
WUR GTB Gewasfysiologie Management en Model
Biometris (WU MAT)
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) ribulose bisphosphate carboxylase - biochemically based model - light-response curve - co2 partial-pressure - h2o gas-exchange - mesophyll conductance - temperature response - stomatal conductance - seasonal-changes - carbon-dioxide
Abstract The aims of this paper was to modify the photosynthesis model of Farquhar, von Caemmerer and Berry (FvCB) to be able to predict light dependency of the carboxylation capacity (Vc) and to improve the prediction of temperature dependency of the maximum carboxylation capacity (Vcmax) and the maximum electron transport rate (Jmax). The FvCB model was modified by adding a sub-model for Ribulose-1,5-bisphosphate carboxylase (Rubisco) activation and validating the parameters for temperature dependency of Vcmax and Jmax. Values of parameters for temperature dependency of Vcmax and Jmax were validated and adjusted based on data of the photosynthesis response to temperature. Parameter estimation was based on measurements under a wide range of environmental conditions, providing parameters with broad validity. The simultaneous estimation method and the nonlinear mixed effects model were applied to ensure the accuracy of the parameter estimation. The FvCB parameters, Vcmax, Jmax, a (the efficiency of light energy conversion), ¿ (the curvature of light response of electron transport), and Rd (the non-photorespiratory CO2 release) were estimated and validated on a dataset from two other years. Observations and predictions matched well (R2 = 0.94). We conclude that incorporating a sub-model of Rubisco activation improved the FvCB model through predicting light dependency of carboxylation rate; and that estimating Vcmax, Jmax, a, ¿, and Rd requires data sets of both CO2 and light response curves.
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