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https://hdl.handle.net/20.500.14279/22938
Τίτλος: | Incorporating cultivar-specific stomatal traits into stomatal conductance models improves the estimation of evapotranspiration enhancing greenhouse climate management | Συγγραφείς: | 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 | Λέξεις-κλειδιά: | Climate control;Relative air humidity;Simulation model;Stomatal conductance;Stomatal density;Transpiration | Ημερομηνία Έκδοσης: | Αυγ-2021 | Πηγή: | Biosystems Engineering, 2021, vol. 208, pp. 131-151 | Volume: | 208 | Start page: | 131 | End page: | 151 | Περιοδικό: | Biosystems Engineering | Περίληψη: | 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 |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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1-s2.0-S1537511021001100-main.pdf | Fulltext | 3.64 MB | Adobe PDF | Δείτε/ Ανοίξτε |
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