Abstract
This study has been designed to evaluate the performance of DSSAT model for yield estimation of maize under different irrigation levels and methods. Experiment has been conducted during rabi 2015-16 in water Technology Centre, Rajendranagar. Observed yields were compared with the models simulated yields. From the results it has been revealed that drip irrigation scheduled at 1.0 Epan produced higher growth, yield, and yield attributes than the other surface and drip irrigation treatments, while surface irrigation scheduled at 0.6 IW/CPE produced lower growth, yield, and yield attributes than the other treatments. Model results were also in quite agreement with the observed results where the maximum and minimum prediction errors in grain yields with DSSAT was 0.40 % and 14.86 %. Correlation coefficient of 0.98 and 0.97 was observed for water productivity and grain yield. From this study it can be concluded that DSSAT can be used for yield estimation in maize under different irrigation regimes with minimal error. Model should be used after proper calibration for better results.
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