文献类型： 外文期刊

作者： Li Zhen-hai ¹ ; Jin Xiu-liang ³ ; Liu Hai-long ⁴ ; Xu Xin-gang ² ; Wang Ji-hua ⁵ ;

作者机构： 1.Minist Agr & Rural Affairs, Key Lab Agriinformat, Beijing 100097, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.INRA, NAPV, UMR EMMAN, F-84914 Avignon, France

4.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Key Lab Agriinformat Serv Technol, Agr Informat Inst, Beijing 100081, Peoples R China

5.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Agrifood Testing & Farmland Monit, Beijing 100097, Peoples R China

关键词： global sensitivity analysis; DSSAT; EFAST; wheat; yield; grain protein content

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）

ISSN： 2095-3119

年卷期： 2019 年 18 卷 7 期

页码：

收录情况： SCI

摘要： A crop growth model, integrating genotype, environment, and management factor, was developed to serve as an analytical tool to study the influence of these factors on crop growth, production, and agricultural planning. A major challenge of model application is the optimization and calibration of a considerable number of parameters. Sensitivity analysis (SA) has become an effective method to identify the importance of various parameters. In this study, the extended Fourier Amplitude Sensitivity Test (EFAST) approach was used to evaluate the sensitivity of the DSSAT-CERES model output responses of interest to 39 crop genotype parameters and six soil parameters. The outputs for the SA included grain yield and quality (take grain protein content (GPC) as an indicator) at maturity stage, as well as leaf area index, aboveground biomass, and aboveground nitrogen accumulation at the critical process variables. The key results showed that (1) the influence of parameter bounds on the sensitivity results was slight and less than the impacts from the significance of the parameters themselves; (2) the sensitivity parameters of grain yield and GPC were different, and the sensitivity of the interactions between parameters to GPC was greater than those between the parameters to grain yield; and (3) the sensitivity analyses of some process variables, including leaf area index, aboveground biomass, and aboveground nitrogen accumulation, should be performed differently. Finally, some parameters, which improve the model's structure and the accuracy of the process simulation, should not be ignored when maturity output as an objective variable is studied.