Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand
The cultivation of rice under irrigation provides fundamental sustenance for nearly half of the world’s population. Rice yields need to increase in order to maintain the rapidly growing population and meet growing food requirements. In this research, we applied the coupled atmospheric–crop model, wh...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/12/8/1213 |
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| author | Teerachai Amnuaylojaroen Pavinee Chanvichit |
| author_facet | Teerachai Amnuaylojaroen Pavinee Chanvichit |
| author_sort | Teerachai Amnuaylojaroen |
| collection | DOAJ |
| description | The cultivation of rice under irrigation provides fundamental sustenance for nearly half of the world’s population. Rice yields need to increase in order to maintain the rapidly growing population and meet growing food requirements. In this research, we applied the coupled atmospheric–crop model, which is based on the WRF and CERES-Rice models, to find the appropriate nitrogen fertilizer level for improving rice yield in northern Thailand. The model was conducted from June to December in 2011 and 2015. To evaluate the model’s capability, the output from the model, including meteorological data (i.e., precipitation and temperature) and rice production, was compared to actual observation data. The modeling system showed an acceptable level of output for statistical examination; for example, the R<sup>2</sup> values were 0.93, 0.76, and 0.97 for precipitation, temperature, and rice production, respectively. To assess the optimization of the nitrogen fertilizer level, we designed nine experiments: control cases and other cases that were multiplied by a factor of 2–10 times the nitrogen fertilizer levels. The model suggested that we can produce substantial rice yields by increasing nitrogen fertilizer levels by 12 kg/ha. |
| first_indexed | 2024-03-09T04:51:22Z |
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| id | doaj.art-d479e45cd2af4a85b799de33e6db16ae |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T04:51:22Z |
| publishDate | 2022-08-01 |
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| series | Agriculture |
| spelling | doaj.art-d479e45cd2af4a85b799de33e6db16ae2023-12-03T13:10:47ZengMDPI AGAgriculture2077-04722022-08-01128121310.3390/agriculture12081213Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern ThailandTeerachai Amnuaylojaroen0Pavinee Chanvichit1Department of Environmental Science, School of Energy and Environment, University of Phayao, Phayao 56000, ThailandDepartment of Agriculture, School of Agriculture and Natural Research, University of Phayao, Phayao 56000, ThailandThe cultivation of rice under irrigation provides fundamental sustenance for nearly half of the world’s population. Rice yields need to increase in order to maintain the rapidly growing population and meet growing food requirements. In this research, we applied the coupled atmospheric–crop model, which is based on the WRF and CERES-Rice models, to find the appropriate nitrogen fertilizer level for improving rice yield in northern Thailand. The model was conducted from June to December in 2011 and 2015. To evaluate the model’s capability, the output from the model, including meteorological data (i.e., precipitation and temperature) and rice production, was compared to actual observation data. The modeling system showed an acceptable level of output for statistical examination; for example, the R<sup>2</sup> values were 0.93, 0.76, and 0.97 for precipitation, temperature, and rice production, respectively. To assess the optimization of the nitrogen fertilizer level, we designed nine experiments: control cases and other cases that were multiplied by a factor of 2–10 times the nitrogen fertilizer levels. The model suggested that we can produce substantial rice yields by increasing nitrogen fertilizer levels by 12 kg/ha.https://www.mdpi.com/2077-0472/12/8/1213nitrogen fertilizerrice productioncrop yieldWRF modelDSSAT modelNorthern Thailand |
| spellingShingle | Teerachai Amnuaylojaroen Pavinee Chanvichit Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand Agriculture nitrogen fertilizer rice production crop yield WRF model DSSAT model Northern Thailand |
| title | Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand |
| title_full | Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand |
| title_fullStr | Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand |
| title_full_unstemmed | Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand |
| title_short | Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand |
| title_sort | application of the wrf dssat modeling system for assessment of the nitrogen fertilizer used for improving rice production in northern thailand |
| topic | nitrogen fertilizer rice production crop yield WRF model DSSAT model Northern Thailand |
| url | https://www.mdpi.com/2077-0472/12/8/1213 |
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