Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability
As a result of climate change, climatic extremes are expected to increase. For high-value crops like vegetables, irrigation is a potentially economically viable adaptation measure in western Europe. To optimally schedule irrigation, decision support systems based on crop models like AquaCrop are inc...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-03-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1094677/full |
| _version_ | 1811157728004931584 |
|---|---|
| author | Willem Coudron Willem Coudron Pieter De Frenne Kris Verheyen Anne Gobin Anne Gobin Charlotte Boeckaert Tim De Cuypere Peter Lootens Sabien Pollet Tom De Swaef |
| author_facet | Willem Coudron Willem Coudron Pieter De Frenne Kris Verheyen Anne Gobin Anne Gobin Charlotte Boeckaert Tim De Cuypere Peter Lootens Sabien Pollet Tom De Swaef |
| author_sort | Willem Coudron |
| collection | DOAJ |
| description | As a result of climate change, climatic extremes are expected to increase. For high-value crops like vegetables, irrigation is a potentially economically viable adaptation measure in western Europe. To optimally schedule irrigation, decision support systems based on crop models like AquaCrop are increasingly used by farmers. High value vegetable crops like cauliflower or spinach are grown in two distinct growth cycles per year and, additionally, have a high turnover rate of new varieties. To successfully deploy the AquaCrop model in a decision support system, it requires a robust calibration. However, it is not known whether parameters can be conserved over both growth periods, nor whether a cultivar dependent model calibration is always required. Furthermore, when data are collected from farmers’ fields, there are constraints in data availability and uncertainty. We collected data from commercial cauliflower and spinach fields in Belgium in 2019, 2020 and 2021 during different growing periods and of different cultivars. With the use of a Bayesian calibration, we confirmed the need for a condition or cultivar specific calibration for cauliflower, while for spinach, splitting the data per cultivar or pooling the data together did not improve uncertainty on the model simulations. However, due to uncertainties arising from field specific soil and weather conditions, or measurement errors from calibration data, real time field specific adjustments are advised to simulations when using AquaCrop as decision support tool. Remotely sensed or in situ ground data may be invaluable information to reduce uncertainty on model simulations. |
| first_indexed | 2024-04-10T05:12:14Z |
| format | Article |
| id | doaj.art-02a12e958f9c4bc69d0154d21516b137 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-10T05:12:14Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-02a12e958f9c4bc69d0154d21516b1372023-03-09T07:00:54ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2023-03-011410.3389/fpls.2023.10946771094677Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availabilityWillem Coudron0Willem Coudron1Pieter De Frenne2Kris Verheyen3Anne Gobin4Anne Gobin5Charlotte Boeckaert6Tim De Cuypere7Peter Lootens8Sabien Pollet9Tom De Swaef10Plant Science Unit, Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, BelgiumForest & Nature Lab, Department of Environment, Ghent University, Gontrode, BelgiumForest & Nature Lab, Department of Environment, Ghent University, Gontrode, BelgiumForest & Nature Lab, Department of Environment, Ghent University, Gontrode, BelgiumRemote Sensing, Flemish Institute for Technological Research (VITO), Mol, BelgiumDepartment of Earth and Environmental Sciences, Faculty of Bioscience Engineering, KU Leuven, Leuven, BelgiumVlaams Kenniscentrum Water (VLAKWA), Flemish Institute for Technological Research (VITO), Kortrijk, BelgiumDepartment of Outdoor Horticulture And Precision Agriculture, Inagro, Rumbeke-Beitem, BelgiumPlant Science Unit, Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, BelgiumDepartment of Outdoor Horticulture And Precision Agriculture, Inagro, Rumbeke-Beitem, BelgiumPlant Science Unit, Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, BelgiumAs a result of climate change, climatic extremes are expected to increase. For high-value crops like vegetables, irrigation is a potentially economically viable adaptation measure in western Europe. To optimally schedule irrigation, decision support systems based on crop models like AquaCrop are increasingly used by farmers. High value vegetable crops like cauliflower or spinach are grown in two distinct growth cycles per year and, additionally, have a high turnover rate of new varieties. To successfully deploy the AquaCrop model in a decision support system, it requires a robust calibration. However, it is not known whether parameters can be conserved over both growth periods, nor whether a cultivar dependent model calibration is always required. Furthermore, when data are collected from farmers’ fields, there are constraints in data availability and uncertainty. We collected data from commercial cauliflower and spinach fields in Belgium in 2019, 2020 and 2021 during different growing periods and of different cultivars. With the use of a Bayesian calibration, we confirmed the need for a condition or cultivar specific calibration for cauliflower, while for spinach, splitting the data per cultivar or pooling the data together did not improve uncertainty on the model simulations. However, due to uncertainties arising from field specific soil and weather conditions, or measurement errors from calibration data, real time field specific adjustments are advised to simulations when using AquaCrop as decision support tool. Remotely sensed or in situ ground data may be invaluable information to reduce uncertainty on model simulations.https://www.frontiersin.org/articles/10.3389/fpls.2023.1094677/fullBayesian calibrationcrop modeldecision support toolspinachcauliflowersensitivity analyis |
| spellingShingle | Willem Coudron Willem Coudron Pieter De Frenne Kris Verheyen Anne Gobin Anne Gobin Charlotte Boeckaert Tim De Cuypere Peter Lootens Sabien Pollet Tom De Swaef Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability Frontiers in Plant Science Bayesian calibration crop model decision support tool spinach cauliflower sensitivity analyis |
| title | Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability |
| title_full | Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability |
| title_fullStr | Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability |
| title_full_unstemmed | Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability |
| title_short | Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability |
| title_sort | usefulness of cultivar level calibration of aquacrop for vegetables depends on the crop and data availability |
| topic | Bayesian calibration crop model decision support tool spinach cauliflower sensitivity analyis |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2023.1094677/full |
| work_keys_str_mv | AT willemcoudron usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT willemcoudron usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT pieterdefrenne usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT krisverheyen usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT annegobin usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT annegobin usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT charlotteboeckaert usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT timdecuypere usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT peterlootens usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT sabienpollet usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability AT tomdeswaef usefulnessofcultivarlevelcalibrationofaquacropforvegetablesdependsonthecropanddataavailability |