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ABSTRACT
A field experiment was conducted at Thrissur during kharif seasons of 2013 and 2014 using two rice varieties (Jyothi and Kanchana) and five dates of planting (June 5th, June 20th, July 5th, July 20th and August 5th). CERES-Rice model of DSSAT v 4.6 was used to simulate the phenology and grain yield of rice. Calibration of genetic coefficients was done with 6000 iteratio ns and then the model was va lidated. The model could simulate the phenology of both the rice varieties with RMSE ranging between 0.89 to 1.92 for physiological maturity. The model overestimated the grain yield of rice cultivars which need further refinement.
Keywords: Rice, CERES model, calibration,genetic coefficients, simulation,validation.
Rice is intimately involved in the culture as well as in the food ways and economy of Indians especially Keralites. Climate plays an important role in rice production. Rice is vulnerable to change in weather and its cultivation continues to be a risky ent erprise under un favourable environment, despite a dva nce s made in rice production technologie s. Crop simulation models can be used as a tool for agricultural risk analysis. The CERES-Rice model is used to analyse the suitability of the rice cultivars and to determine the optimum planting dat e for rice in the central zone of Ke ral a. (Saseendran et al. 1998).Once a crop model has been validate d, i t c an be used to match variety and site rather than carry out e xte nd fiel d e xperiments (Mankeb, 1993). According to Kumar et al. (2007) CERES-Rice model was able to predict phenological developments accurately. The CERES-Rice model can be used for decision making for crop manageme nt a nd improving the resource use effic iency (Singh e t al ., 2015). The prese nt study was carried out to validate the CERES-Rice model of DSSAT...