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- GC23B-08: Implementing Waterlogging Stress Response in the CERES-Maize Crop Model
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NOLA CC
Author(s):Generic 'disconnected' Message
Jyoti Singh, Columbia University of New York (First Author, Presenting Author)
Jonas Jägermeyr, Columbia University of New York
Flooding or excess soil moisture, also known as waterlogging, is an important yield limiting stress on crops, especially with increasing frequency of extreme rainfall events under climate change. Waterlogging reduces oxygen in the soil, damaging plant roots and disrupting essential processes like water uptake, photosynthesis, and leaf growth. These effects can significantly reduce crop yields, yet most crop models do not represent waterlogging stress. In this study, we implement the impact of waterlogging on maize in CERES-Maize crop model. We collected data from past experiments that measured how maize responds to waterlogging of different durations, depths, and growth stages. Using this data, we added a waterlogging stress routine into the model, based on how much drainable water is in the soil. The new function reduces crop growth when soil oxygen becomes limited. We calibrated the waterloggign function with experimental data and compared model results with and without this waterlogging function.
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