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Time series global sensitivity analysis of genetic parameters of CERES-maize model under water stresses at different growth stages by Haijiao Ma; Jianliang Wang; Tao Liu; Yahui Guo; Yang Zhou; Tianle Yang; Weijun Zhang; Chengming Sun is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Time series global sensitivity analysis of genetic parameters of CERES-maize model under water stresses at different growth stages about?
Sensitivity analysis (SA) is used to identify the effects of crop model input parameters on model results. Previous studies have indicated that the CERES-Maize model was difficult to calibrate under the different water stress conditions. A genetic parameters time-series sensitivity analysis is needed to guide parameter optimization. The objectives of this study were to: (i) comprehensively quantify the genetic parameters in CERES-Maize based on the extended Fourier amplitude sensitivity test. The sensitivity of CERES-Maize output variables was analyzed under different water stress conditions; (ii) determine the sensitivities of output variables to genetic parameters during the growth period. The results demonstrated that output variable sensitivity varied in response to different water stress conditions. The total sensitivity index (TSI) and time-dependent TSI of crop parameters were more sensitive than the first sensitivity index (FOSI) and time-dependent FOSI of crop genetic parameters. The sensitivities of two years (2013 and 2014) based on FOSI and time-series FOSI were consistent; some differences existed between simulations based on TSI and time-series TSI. Under different wa
Who reads Time series global sensitivity analysis of genetic parameters of CERES-maize model under water stresses at different growth stages?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Haijiao Ma; Jianliang Wang; Tao Liu; Yahui Guo; Yang Zhou; Tianle Yang; Weijun Zhang; Chengming Sun
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Agricultural and Biological Sciences (Physical Sciences)