Location: Plant Physiology and Genetics Research
Project Number: 2020-11000-013-02-S
Project Type: Non-Assistance Cooperative Agreement
Start Date: Sep 1, 2017
End Date: Jun 15, 2019
The collaboration seeks to strengthen specific features of the Cropping Systems Model to improve simulation accuracy and facilitate model intercomparisons. Within the overarching theme of quantitative prediction and management of G x E x M, potential applications relate to climate resilience, field phenomics, and crop management. Several objectives reflect the fact that while the CROPGRO submodel of CSM performs well for grain legumes and selected other crops where specific code changes were implemented, a more generalizable approach is possible that allows most annual crop species to be simulated without changing the CROPGRO code. Building on successful work in previous NACAs, we propose to: 1. Complete ongoing modifications of the CROPGRO subroutines that calculate an energy balance and hence allow more detailed accounting of temperature effects within a crop canopy. 2. Implement the American Society of Civil Engineers (ASCE) method of estimating reference evapotranspiration (ET0). 3. Complete the implementation of generic code for adapting the CROPGRO sub-model to crops that are not currently simulated by CROPGRO, including finalizing changes in the DSSAT shell. 4. Explore options for specifying growth stages, so the stages match internal, hard codes (e.g., in CERES-type models) and the data identify the applicable model(s) (e.g., for three wheat models). 5. Explore options for a generic approach to describe reproductive partitioning that deals with major differences in growth strategies, most notably timing of onset of rapid growth of reproductive structures relative to seed growth (e.g., as contrasting in wheat or sorghum vs. grain legumes). 6. Develop and implement a generic approach for incorporating vernalization in CROPGRO. 7. Develop a generic approach for representing temperature effects on daylength sensitivity. 8. Assess and possibly implement an improved approach for simulating the interaction of multiple stress factors as they affect specific growth and development processes. 9. Develop an R-script to permit rapid testing of CROPGRO phenology routines. 10. Explore use of CSM to simulate rotations and fallows under climate uncertainty.
In consultation with ARS scientists and others, specific software code modifications will be made to CSM. The modifications will be tested at the Arid Land Agricultural Research Center (ALARC) of ARS and made freely available via the DSSAT and the GitHub web sites.