Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/22938
Title: Incorporating cultivar-specific stomatal traits into stomatal conductance models improves the estimation of evapotranspiration enhancing greenhouse climate management
Authors: Körner, Oliver 
Fanourakis, Dimitrios 
Chung-Rung Hwang, Michael 
Hyldgaard, Benita 
Tsaniklidis, Georgios 
Nikoloudakis, Nikolaos 
Larsen, Dorthe Horn 
Ottosen, Carl Otto 
Rosenqvist, Eva 
Major Field of Science: Natural Sciences
Field Category: Earth and Related Environmental Sciences
Keywords: Climate control;Relative air humidity;Simulation model;Stomatal conductance;Stomatal density;Transpiration
Issue Date: Aug-2021
Source: Biosystems Engineering, 2021, vol. 208, pp. 131-151
Volume: 208
Start page: 131
End page: 151
Journal: Biosystems Engineering 
Abstract: The effect of considering cultivar differences in stomatal conductance (gs) on relative air humidity (RH)-related energy demand was addressed. We conducted six experiments in order to study the variation in evapotranspiration (ETc) of six pot rose cultivars, investigate the underlying processes and parameterise a gs-based ETc model. Several levels of crop ETc were realised by adjusting the growth environment. The commonly applied Ball–Woodrow–Berry gs-sub-model (BWB-model) in ETc models was validated under greenhouse conditions, and showed a close agreement between simulated and measured ETc. The validated model was incorporated into a greenhouse simulator. A scenario simulation study showed that selecting low-gs cultivars reduces energy demand (≤5.75%), depending on the RH set point. However, the BWB-model showed poor prediction quality at RH lower than 60% and a good fit at higher RH. Therefore, an attempt was made to improve model prediction: the in situ-obtained data were employed to adapt and extend either the BWB-model, or the Liu-extension with substrate water potential (Ψ; BWB-Liu-model). Both models were extended with stomatal density (Ds) or pore area. Although the modified BWB-Liu-model (considering Ds) allowed higher accuracy (R2 = 0.59), as compared to the basic version (R2 = 0.31), the typical lack of Ψ prediction in greenhouse models may be problematic for implementation into real-time climate control. The current study lays the basis for the development of cultivar specific cultivation strategies as well as improving the gs sub-model for dynamic climate conditions under low RH using model-based control systems.
URI: https://hdl.handle.net/20.500.14279/22938
ISSN: 15375110
DOI: 10.1016/j.biosystemseng.2021.05.010
Rights: © The Author(s). This is an open access article under the CC BY license.
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Leibniz-Institute of Vegetable and Ornamental Crops 
Hellenic Mediterranean University 
University of Copenhagen 
Klasmann-Deilmann Asia Pacific Pte. Ltd 
Aarhus University 
Hellenic Agricultural Organization “Demeter” 
Cyprus University of Technology 
Wageningen University 
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