Abstract
A model for the design of subsurface irrigation and drainage systems has been developed to simulate soil physical, environmental and physiological processes involved in the growth of corn. It has been devised to predict seasonal variation of water table on daily basis and yield of grain corn as a function of water stress (both excessive and deficient soil water conditions). The model has been found simple, inexpensive to run on computer with considerable predictive power as evidenced through comparison of measured and predicted water table depths and yields of corn during two years of experiments. The model has been designed in such a way that it can handle the environmental data for many years and produce optimum designs for subsurface irrigation and drainage systems in terms of yield and net benefits.
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