Estimating crop model parameters for simulating soybean production in Iran conditions☆
Crop modelling has the potential to contribute to food security. In this study, to provide a simple model for estimating the soybean potential yield and phenological stages in Iran, a simulation model (SSM_iCrop2) was parameterized and tested. This model estimates the soybean phenological stages and...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | Oilseeds and fats, crops and lipids |
| Subjects: | |
| Online Access: | https://www.ocl-journal.org/articles/ocl/full_html/2020/01/ocl200037/ocl200037.html |
| _version_ | 1818611815412662272 |
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| author | Nehbandani Alireza Soltani Afshin Nourbakhsh Faranak Dadrasi Amir |
| author_facet | Nehbandani Alireza Soltani Afshin Nourbakhsh Faranak Dadrasi Amir |
| author_sort | Nehbandani Alireza |
| collection | DOAJ |
| description | Crop modelling has the potential to contribute to food security. In this study, to provide a simple model for estimating the soybean potential yield and phenological stages in Iran, a simulation model (SSM_iCrop2) was parameterized and tested. This model estimates the soybean phenological stages and potential yield based on the weather data (minimum and maximum temperature, solar radiation and rainfall) using the phenological models such as leaf area development, mass production and partitioning and soil water balance. Regarding the model parametrization, the two maturities groups of 3 and 5 with the temperature unit of 2000 and 2400 growth degrees day (GDD) were chosen. The model evaluation results indicated that the soybean yield ranged between 1.9 and 4.8 with the average of 3.5 t.ha−1, while the range of simulated yield changes between 1.8 and 4.7 with the average of 3.7 t.ha−1. Comparing the observed yield to the simulated yield, values of r, CV and RMSE were obtained 0.84, 13%, 0.5 t.ha−1 which indicates the high accuracy of the model. All of these results indicated that the estimated model parameters are high accuracy for use in the simulation of soybean yield at the country level. |
| first_indexed | 2024-12-16T15:36:19Z |
| format | Article |
| id | doaj.art-7ff4e624e0134df5bdb05fca70221437 |
| institution | Directory Open Access Journal |
| issn | 2272-6977 2257-6614 |
| language | English |
| last_indexed | 2024-12-16T15:36:19Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Oilseeds and fats, crops and lipids |
| spelling | doaj.art-7ff4e624e0134df5bdb05fca702214372022-12-21T22:26:11ZengEDP SciencesOilseeds and fats, crops and lipids2272-69772257-66142020-01-01275810.1051/ocl/2020057ocl200037Estimating crop model parameters for simulating soybean production in Iran conditions☆Nehbandani Alireza0https://orcid.org/0000-0001-5324-260XSoltani Afshin1Nourbakhsh Faranak2Dadrasi Amir3https://orcid.org/0000-0002-4809-657XDepartment of Plant Production, Gorgan University of Agricultural SciencesDepartment of Plant Production, Gorgan University of Agricultural SciencesSWEP Analytical LaboratoriesDepartment of Agronomy, Agriculture College, Vali-e-Asr University of RafsanjanCrop modelling has the potential to contribute to food security. In this study, to provide a simple model for estimating the soybean potential yield and phenological stages in Iran, a simulation model (SSM_iCrop2) was parameterized and tested. This model estimates the soybean phenological stages and potential yield based on the weather data (minimum and maximum temperature, solar radiation and rainfall) using the phenological models such as leaf area development, mass production and partitioning and soil water balance. Regarding the model parametrization, the two maturities groups of 3 and 5 with the temperature unit of 2000 and 2400 growth degrees day (GDD) were chosen. The model evaluation results indicated that the soybean yield ranged between 1.9 and 4.8 with the average of 3.5 t.ha−1, while the range of simulated yield changes between 1.8 and 4.7 with the average of 3.7 t.ha−1. Comparing the observed yield to the simulated yield, values of r, CV and RMSE were obtained 0.84, 13%, 0.5 t.ha−1 which indicates the high accuracy of the model. All of these results indicated that the estimated model parameters are high accuracy for use in the simulation of soybean yield at the country level.https://www.ocl-journal.org/articles/ocl/full_html/2020/01/ocl200037/ocl200037.htmlparameterizationevaluationfood securitycrop modelclimate change |
| spellingShingle | Nehbandani Alireza Soltani Afshin Nourbakhsh Faranak Dadrasi Amir Estimating crop model parameters for simulating soybean production in Iran conditions☆ Oilseeds and fats, crops and lipids parameterization evaluation food security crop model climate change |
| title | Estimating crop model parameters for simulating soybean production in Iran conditions☆ |
| title_full | Estimating crop model parameters for simulating soybean production in Iran conditions☆ |
| title_fullStr | Estimating crop model parameters for simulating soybean production in Iran conditions☆ |
| title_full_unstemmed | Estimating crop model parameters for simulating soybean production in Iran conditions☆ |
| title_short | Estimating crop model parameters for simulating soybean production in Iran conditions☆ |
| title_sort | estimating crop model parameters for simulating soybean production in iran conditions☆ |
| topic | parameterization evaluation food security crop model climate change |
| url | https://www.ocl-journal.org/articles/ocl/full_html/2020/01/ocl200037/ocl200037.html |
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