Abstract
Simulation models may be a powerful tool for agricultural development in developing countries, when they are able to reasonably forecast crop performance under a wide set of environmental constraints. CERES is a dynamic daily-step simulation model that predicts growth and development of five user-selected cereals: wheat, maize, sorghum, pearl millet and barley. The model predicts the effects of limited soil water and nitrogen on crop growth. The maize model in CERES was modified to include the effects of limited soil aeration on crop growth and development. The modified model includes the newest routines available to simulate soil temperature and the water and nitrogen balances. The model can run on three different modes: (i) without watertable simulation, (ii) simulating a fluctuating watertable and (iii) simulating a controlled watertable. A new input file is required only if a controlled watertable option is selected. The new input file provides input on the depth of the controlled watertable for each day of simulation. The modified model produced logical and reasonable results when flooding was simulated. Under well-aerated conditions, growth and yield was somewhat underestimated, although estimates were always closer to field measured values than estimates of the original CERES-Maize model. Predictions of crop phenology required adjustment. The new model provides an alternative for predicting maize crop performance when the crop is affected by waterlogging.
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© 1997 Springer Science+Business Media Dordrecht
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Lizaso, J.I., Ritchie, J.T. (1997). A modified version of CERES to predict the impact of soil water excess on maize crop growth and development. In: Kropff, M.J., et al. Applications of Systems Approaches at the Field Level. Systems Approaches for Sustainable Agricultural Development, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0754-1_10
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DOI: https://doi.org/10.1007/978-94-017-0754-1_10
Publisher Name: Springer, Dordrecht
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