Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes
Identifying important parameters in crop models is critical for model application. This study conducted a sensitivity analysis of 23 selected parameters of the advanced rice model ORYZA-N using the Extended FAST method. The sensitivity analysis was applied for three rice types (single-season rice in...
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MDPI AG
2024-01-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/13/2/262 |
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| author | Ya Gao Chen Sun Tiago B. Ramos Junwei Tan Ana R. Oliveira Quanzhong Huang Guanhua Huang Xu Xu |
| author_facet | Ya Gao Chen Sun Tiago B. Ramos Junwei Tan Ana R. Oliveira Quanzhong Huang Guanhua Huang Xu Xu |
| author_sort | Ya Gao |
| collection | DOAJ |
| description | Identifying important parameters in crop models is critical for model application. This study conducted a sensitivity analysis of 23 selected parameters of the advanced rice model ORYZA-N using the Extended FAST method. The sensitivity analysis was applied for three rice types (single-season rice in cold regions and double-season rice (early rice and late rice) in subtropical regions) and two irrigation regimes (traditional flood irrigation (TFI) and shallow–wet irrigation (SWI)). This study analyzed the parameter sensitivity of six crop growth outputs at four developmental stages and yields. Furthermore, we compared the variation in parameter sensitivity on model outputs between TFI and SWI scenarios for single-season rice, early rice, and late rice. Results indicated that parameters RGRLMX, FRPAR, and FLV0.5 significantly affected all model outputs and varied over developmental stages. Water stress in paddy fields caused by water-saving irrigation had more pronounced effects on single-season rice than on double-season rice. |
| first_indexed | 2024-03-08T09:47:49Z |
| format | Article |
| id | doaj.art-74fb3b55f67141d5a909aac43464c32d |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-08T09:47:49Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
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| series | Plants |
| spelling | doaj.art-74fb3b55f67141d5a909aac43464c32d2024-01-29T14:11:35ZengMDPI AGPlants2223-77472024-01-0113226210.3390/plants13020262Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation RegimesYa Gao0Chen Sun1Tiago B. Ramos2Junwei Tan3Ana R. Oliveira4Quanzhong Huang5Guanhua Huang6Xu Xu7State Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaCentro de Ciência e Tecnologia do Ambiente e do Mar (MARETEC), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais nº. 1, 1049-001 Lisboa, PortugalState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaCentro de Ciência e Tecnologia do Ambiente e do Mar (MARETEC), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais nº. 1, 1049-001 Lisboa, PortugalState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaState Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, ChinaIdentifying important parameters in crop models is critical for model application. This study conducted a sensitivity analysis of 23 selected parameters of the advanced rice model ORYZA-N using the Extended FAST method. The sensitivity analysis was applied for three rice types (single-season rice in cold regions and double-season rice (early rice and late rice) in subtropical regions) and two irrigation regimes (traditional flood irrigation (TFI) and shallow–wet irrigation (SWI)). This study analyzed the parameter sensitivity of six crop growth outputs at four developmental stages and yields. Furthermore, we compared the variation in parameter sensitivity on model outputs between TFI and SWI scenarios for single-season rice, early rice, and late rice. Results indicated that parameters RGRLMX, FRPAR, and FLV0.5 significantly affected all model outputs and varied over developmental stages. Water stress in paddy fields caused by water-saving irrigation had more pronounced effects on single-season rice than on double-season rice.https://www.mdpi.com/2223-7747/13/2/262global sensitivity analysisExtended FASTORYZA-N modeldouble-season ricesingle-season |
| spellingShingle | Ya Gao Chen Sun Tiago B. Ramos Junwei Tan Ana R. Oliveira Quanzhong Huang Guanhua Huang Xu Xu Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes Plants global sensitivity analysis Extended FAST ORYZA-N model double-season rice single-season |
| title | Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes |
| title_full | Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes |
| title_fullStr | Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes |
| title_full_unstemmed | Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes |
| title_short | Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes |
| title_sort | global sensitivity analysis of the advanced oryza n model with different rice types and irrigation regimes |
| topic | global sensitivity analysis Extended FAST ORYZA-N model double-season rice single-season |
| url | https://www.mdpi.com/2223-7747/13/2/262 |
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