Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes
文献类型： 外文期刊
第一作者： Gao, Ya
作者： Gao, Ya;Tan, Junwei;Huang, Quanzhong;Huang, Guanhua;Xu, Xu;Sun, Chen;Ramos, Tiago B.;Oliveira, Ana R.
作者机构：
关键词： global sensitivity analysis; Extended FAST; ORYZA-N model; double-season rice; single-season
期刊名称：PLANTS-BASEL （ 影响因子：4.5； 五年影响因子：4.8 ）
ISSN： 2223-7747
年卷期： 2024 年 13 卷 2 期
页码：
收录情况： SCI
摘要： 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.
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