Abstract
Climatic variations, continuously increasing population pressure and market infrastructures are driven forces to reduce agricultural productivity. New management options and appropriate genotypes are need of the day to be considered for sustainable production. Crop simulation models are complementary tools in field experiments to develop innovative crop management systems. In this perspective, two crop growth models viz., APSIM (Agricultural Production System Simulator) and DSSAT (Decision Support System for Agro Technology Transfer) were calibrated and validated to predict growth and yield of wheat under rainfed conditions for Pothwar region of Pakistan. Five wheat cultivars; Tatara, NARC-2009, Sehar-2006, SKD-1 and F-Sarhad were planted in plot size of 5 m x 3 m with row spacing of 25 cm arranged in Randomized Complete Block Design (RCBD) replicated thrice during 2008-09 and 2009-10 at Islamabad. Both the models were parameterized using different agronomic parameters (phenological development, drymatter accumulation, leaf area index, physiological indices and grain yield) and climatic data. Efficiency of both models was tested using model validation skill scores including d-stat, RMSE and R 2 . RMSE between observed and predicted value by APSIM for drymatter for Tatara
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