Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST
Soil salinization in arid and coastal areas poses a significant threat to crop production, which is further aggravated by climate change and the over-exploitation of aquifers. Cultivation of salt and drought-tolerant crops such as quinoa represents a promising adaptation pathway for agriculture in s...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425000708 |
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| author | Diana C. Estrella Delgado Tom De Swaef Jan Vanderborght Eric Laloy Gerda Cnops Maarten De Boever Abdelaziz Hirich Ayoub El Mouttaqi Sarah Garré |
| author_facet | Diana C. Estrella Delgado Tom De Swaef Jan Vanderborght Eric Laloy Gerda Cnops Maarten De Boever Abdelaziz Hirich Ayoub El Mouttaqi Sarah Garré |
| author_sort | Diana C. Estrella Delgado |
| collection | DOAJ |
| description | Soil salinization in arid and coastal areas poses a significant threat to crop production, which is further aggravated by climate change and the over-exploitation of aquifers. Cultivation of salt and drought-tolerant crops such as quinoa represents a promising adaptation pathway for agriculture in saline soils. Quinoa (Chenopodium quinoa Willd.) is a “salt-loving” plant, known for its tolerance to drought and salinity using complex stress responses. However, available models of quinoa growth are limited, particularly under salinity stress. The objective of this study was to calibrate the crop growth, and salinity and drought stress parameters of the SWAP – WOFOST model and evaluate whether this model can represent quinoa’s stress tolerance mechanisms. Field experimental data were used from two quinoa varieties: ICBA-Q5 grown under saline conditions in Laayoune, Morocco, in 2021, and Bastille grown under rainfed, non-saline conditions in Merelbeke, Belgium, from 2018 to 2023. Calibration and parameter uncertainty was performed using the DiffeRential Evolution Adaptive Metropolis (DREAMzs) algorithm on key parameters identified via sensitivity analysis using the Morris method. The resulting crop parameters provide insights into the stress tolerance mechanisms of quinoa, including reduction of transpiration and uptake of solutes. The salinity stress function of SWAP effectively represents these tolerance mechanisms and accurately predicts the impact on yield, under arid conditions. Under Northwestern European climate, the model replicates the impact of drought stress on yield. The calibrated model offers perspectives for evaluating practices to reduce soil salinization in arid conditions and for modeling crop performance under water-limited conditions or future salinization in temperate regions. |
| format | Article |
| id | doaj-art-88f0900704764022835e8e9722fa4856 |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-88f0900704764022835e8e9722fa48562025-02-09T04:59:40ZengElsevierAgricultural Water Management1873-22832025-03-01309109356Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOSTDiana C. Estrella Delgado0Tom De Swaef1Jan Vanderborght2Eric Laloy3Gerda Cnops4Maarten De Boever5Abdelaziz Hirich6Ayoub El Mouttaqi7Sarah Garré8Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Merelbeke-Melle 9090, Belgium; Corresponding author.Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Merelbeke-Melle 9090, BelgiumSoil and Water Management Unit, Department of Earth and Environmental Sciences, KU Leuven, Leuven 3001, Belgium; Agrosphere Institute (IBG-3), Forschungszentrum Jülich GmbH, Jülich, GermanyBelgian Nuclear Research Center (SCK CEN), BelgiumPlant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Merelbeke-Melle 9090, BelgiumPlant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Merelbeke-Melle 9090, BelgiumAfrican Sustainable Agriculture Research Institute (ASARI), Mohammed VI Polytechnic University (UM6P), Laayoune, MoroccoAfrican Sustainable Agriculture Research Institute (ASARI), Mohammed VI Polytechnic University (UM6P), Laayoune, MoroccoPlant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Merelbeke-Melle 9090, BelgiumSoil salinization in arid and coastal areas poses a significant threat to crop production, which is further aggravated by climate change and the over-exploitation of aquifers. Cultivation of salt and drought-tolerant crops such as quinoa represents a promising adaptation pathway for agriculture in saline soils. Quinoa (Chenopodium quinoa Willd.) is a “salt-loving” plant, known for its tolerance to drought and salinity using complex stress responses. However, available models of quinoa growth are limited, particularly under salinity stress. The objective of this study was to calibrate the crop growth, and salinity and drought stress parameters of the SWAP – WOFOST model and evaluate whether this model can represent quinoa’s stress tolerance mechanisms. Field experimental data were used from two quinoa varieties: ICBA-Q5 grown under saline conditions in Laayoune, Morocco, in 2021, and Bastille grown under rainfed, non-saline conditions in Merelbeke, Belgium, from 2018 to 2023. Calibration and parameter uncertainty was performed using the DiffeRential Evolution Adaptive Metropolis (DREAMzs) algorithm on key parameters identified via sensitivity analysis using the Morris method. The resulting crop parameters provide insights into the stress tolerance mechanisms of quinoa, including reduction of transpiration and uptake of solutes. The salinity stress function of SWAP effectively represents these tolerance mechanisms and accurately predicts the impact on yield, under arid conditions. Under Northwestern European climate, the model replicates the impact of drought stress on yield. The calibrated model offers perspectives for evaluating practices to reduce soil salinization in arid conditions and for modeling crop performance under water-limited conditions or future salinization in temperate regions.http://www.sciencedirect.com/science/article/pii/S0378377425000708Abiotic stressChenopodium quinoa Willd.Crop modelingParameter estimationSensitivity analysis |
| spellingShingle | Diana C. Estrella Delgado Tom De Swaef Jan Vanderborght Eric Laloy Gerda Cnops Maarten De Boever Abdelaziz Hirich Ayoub El Mouttaqi Sarah Garré Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST Agricultural Water Management Abiotic stress Chenopodium quinoa Willd. Crop modeling Parameter estimation Sensitivity analysis |
| title | Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST |
| title_full | Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST |
| title_fullStr | Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST |
| title_full_unstemmed | Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST |
| title_short | Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST |
| title_sort | modeling quinoa growth under saline and water limiting conditions using swap wofost |
| topic | Abiotic stress Chenopodium quinoa Willd. Crop modeling Parameter estimation Sensitivity analysis |
| url | http://www.sciencedirect.com/science/article/pii/S0378377425000708 |
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