Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models
Simulation of rice yield and its water productivity studied using AquaCrop, WOFOST and CropSyst models, in an experiment at Khuzestan Agricultural Research Station. In this study, three types of planting methods (D1: transplanting, D2: direct seeding, and D3: dry bed seeding) and three rice cultivar...
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Islamic Azad University, Tabriz Branch
2021-06-01
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Series: | Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī |
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Online Access: | http://jcep.iaut.ac.ir/article_683383_67a3d6cd2910700c2dd7a52a9a26e224.pdf |
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author | Seyed Amir Hossein Mousavi Aslan Egdernezhad Abdolali Gilani |
author_facet | Seyed Amir Hossein Mousavi Aslan Egdernezhad Abdolali Gilani |
author_sort | Seyed Amir Hossein Mousavi |
collection | DOAJ |
description | Simulation of rice yield and its water productivity studied using AquaCrop, WOFOST and CropSyst models, in an experiment at Khuzestan Agricultural Research Station. In this study, three types of planting methods (D1: transplanting, D2: direct seeding, and D3: dry bed seeding) and three rice cultivars (V1: Red-Anbori, V2: Champa, V3: Danial) were considered. Results of MBE (0.36 t.ha-1), RMSE (0.1.07 t.ha-1) and NRMSE (0.14 t.ha-1). MBE, RMSE and NRMSE values for water productivity calculated by using AquaCrop model were -0.11 kg.m-3, 0.40 kg.m-3 and 0.15, respectively. The values for yield simulation using WOFSOT model were 0.06 ton.ha-1, 1.14 t.ha-1 and -0.01, respectively, and aforementioned values for water productivity simulated by WOFOST were 0.15 kg.m-3, 0.40 kg.m-3 and -0.13, respectively. The mentioned values for CropSyst simulated as 0.11 t.ha-1, 0.80 t.ha-1 and -0.24 for yield and 0.15 kg.m-3, 0.40 kg.m-3 and -0.14 for water productivity, respectively. According to the results, accuracy for all models were accepted to simulate rice yield and water productivity. However, WOFOST accuracy was better than the other models in most treatments. Thus, it is recommended to use WOFOST for simulation of rice yield and water productivity at different rice cultivars. |
first_indexed | 2024-04-11T20:53:08Z |
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issn | 2538-1822 2476-731X |
language | fas |
last_indexed | 2024-04-11T20:53:08Z |
publishDate | 2021-06-01 |
publisher | Islamic Azad University, Tabriz Branch |
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series | Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī |
spelling | doaj.art-d21bd58e6e94444fa6f6f5dcbe1355632022-12-22T04:03:47ZfasIslamic Azad University, Tabriz BranchIkufīziyuluzhī-i Giyāhān-i Zirā̒ī2538-18222476-731X2021-06-01152 (58) تابستان22122810.30495/jcep.2021.683383683383Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST ModelsSeyed Amir Hossein Mousavi0Aslan Egdernezhad1Abdolali Gilani2M.Sc. Student of Irrigation and drainage, Department of Water Sciences and Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, IranAssistant Professor, Department of Water Sciences and Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, IranAssistant Professor, Seed and Plant Improvement Research Department, Khuzestan Agricultural and Natural Resources Research Center, AREEO, Ahvaz, IranSimulation of rice yield and its water productivity studied using AquaCrop, WOFOST and CropSyst models, in an experiment at Khuzestan Agricultural Research Station. In this study, three types of planting methods (D1: transplanting, D2: direct seeding, and D3: dry bed seeding) and three rice cultivars (V1: Red-Anbori, V2: Champa, V3: Danial) were considered. Results of MBE (0.36 t.ha-1), RMSE (0.1.07 t.ha-1) and NRMSE (0.14 t.ha-1). MBE, RMSE and NRMSE values for water productivity calculated by using AquaCrop model were -0.11 kg.m-3, 0.40 kg.m-3 and 0.15, respectively. The values for yield simulation using WOFSOT model were 0.06 ton.ha-1, 1.14 t.ha-1 and -0.01, respectively, and aforementioned values for water productivity simulated by WOFOST were 0.15 kg.m-3, 0.40 kg.m-3 and -0.13, respectively. The mentioned values for CropSyst simulated as 0.11 t.ha-1, 0.80 t.ha-1 and -0.24 for yield and 0.15 kg.m-3, 0.40 kg.m-3 and -0.14 for water productivity, respectively. According to the results, accuracy for all models were accepted to simulate rice yield and water productivity. However, WOFOST accuracy was better than the other models in most treatments. Thus, it is recommended to use WOFOST for simulation of rice yield and water productivity at different rice cultivars.http://jcep.iaut.ac.ir/article_683383_67a3d6cd2910700c2dd7a52a9a26e224.pdfcarbon- driven modelcrop modelingdry bed seedingradiation-driven modelwater-driven model |
spellingShingle | Seyed Amir Hossein Mousavi Aslan Egdernezhad Abdolali Gilani Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī carbon- driven model crop modeling dry bed seeding radiation-driven model water-driven model |
title | Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models |
title_full | Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models |
title_fullStr | Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models |
title_full_unstemmed | Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models |
title_short | Yield and Water Productivity Simulation of Different Rice Cultivars under Various Planting Methods using AquaCrop, CropSyst and WOFOST Models |
title_sort | yield and water productivity simulation of different rice cultivars under various planting methods using aquacrop cropsyst and wofost models |
topic | carbon- driven model crop modeling dry bed seeding radiation-driven model water-driven model |
url | http://jcep.iaut.ac.ir/article_683383_67a3d6cd2910700c2dd7a52a9a26e224.pdf |
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