Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/22938
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Körner, Oliver | - |
dc.contributor.author | Fanourakis, Dimitrios | - |
dc.contributor.author | Chung-Rung Hwang, Michael | - |
dc.contributor.author | Hyldgaard, Benita | - |
dc.contributor.author | Tsaniklidis, Georgios | - |
dc.contributor.author | Nikoloudakis, Nikolaos | - |
dc.contributor.author | Larsen, Dorthe Horn | - |
dc.contributor.author | Ottosen, Carl Otto | - |
dc.contributor.author | Rosenqvist, Eva | - |
dc.date.accessioned | 2021-08-31T08:18:08Z | - |
dc.date.available | 2021-08-31T08:18:08Z | - |
dc.date.issued | 2021-08 | - |
dc.identifier.citation | Biosystems Engineering, 2021, vol. 208, pp. 131-151 | en_US |
dc.identifier.issn | 15375110 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/22938 | - |
dc.description.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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Biosystems Engineering | en_US |
dc.rights | © The Author(s). This is an open access article under the CC BY license. | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Climate control | en_US |
dc.subject | Relative air humidity | en_US |
dc.subject | Simulation model | en_US |
dc.subject | Stomatal conductance | en_US |
dc.subject | Stomatal density | en_US |
dc.subject | Transpiration | en_US |
dc.title | Incorporating cultivar-specific stomatal traits into stomatal conductance models improves the estimation of evapotranspiration enhancing greenhouse climate management | en_US |
dc.type | Article | en_US |
dc.collaboration | Leibniz-Institute of Vegetable and Ornamental Crops | en_US |
dc.collaboration | Hellenic Mediterranean University | en_US |
dc.collaboration | University of Copenhagen | en_US |
dc.collaboration | Klasmann-Deilmann Asia Pacific Pte. Ltd | en_US |
dc.collaboration | Aarhus University | en_US |
dc.collaboration | Hellenic Agricultural Organization “Demeter” | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | Wageningen University | en_US |
dc.subject.category | Earth and Related Environmental Sciences | en_US |
dc.journals | Open Access | en_US |
dc.country | Germany | en_US |
dc.country | Greece | en_US |
dc.country | Denmark | en_US |
dc.country | Singapore | en_US |
dc.country | Netherlands | en_US |
dc.subject.field | Natural Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1016/j.biosystemseng.2021.05.010 | en_US |
dc.identifier.scopus | 2-s2.0-85108120949 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85108120949 | - |
dc.relation.volume | 208 | en_US |
cut.common.academicyear | 2020-2021 | en_US |
dc.identifier.spage | 131 | en_US |
dc.identifier.epage | 151 | en_US |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
crisitem.journal.journalissn | 1537-5110 | - |
crisitem.journal.publisher | Elsevier | - |
crisitem.author.dept | Department of Agricultural Sciences, Biotechnology and Food Science | - |
crisitem.author.faculty | Faculty of Geotechnical Sciences and Environmental Management | - |
crisitem.author.orcid | 0000-0002-3935-8443 | - |
crisitem.author.parentorg | Faculty of Geotechnical Sciences and Environmental Management | - |
Appears in Collections: | Άρθρα/Articles |
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1-s2.0-S1537511021001100-main.pdf | Fulltext | 3.64 MB | Adobe PDF | View/Open |
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