Author(s):

NV Chaudhari, N Kumar, PK Parmar, SN Chaudhari and S Chandrawanshi

Abstract: The DSSAT model was calibrated and validated for kharif rice for cv. NAUR-1 and GNR-3 using past experimental data (2011 to 2015) and experiment was conducted on college farm, Navsari Agricultural University, Navsari. The genetic coefficients were developed through interactive process for rice genotypes are presented in (Table 1). The different test criteria viz., mean of observed and simulated values, root mean square error (RMSE), mean bias error (MBE) and mean percent error (PE) were used to evaluate the performance of model for simulation of yield and yield attributes characters of two rice cultivars for grain yield, above ground biomass, physiological maturity as simulated by model were compare with the observed data. The result revealed that model underestimated the above biomass production and physiological maturity for the both the cultivar and overestimated for grain yield. The lowest percent error (PE) of grain yield and physiological maturity are showed -6.48 and -2.26 at 75 kg/ha nitrogen level and 2.46 for above ground biomass at 100 kg nitrogen level.

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