Deriving Genetic Coefficients for Cotton using the DSSAT CROPGRO-Cotton Model

Author: G. Srinivasan*, S. Pazhanivelan, S. Murali Krishnasamy, N.S. Sudarmanian, S. Rajeswari and Balaji Kannan

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Abstract

The Decision Support System for Agricultural Technology Transfer (DSSAT) was calibrated and evaluated using experimental data in different dates of sowing for simulation. Genetic coefficient for DSSAT CROPGRO-Cotton model such as CSDL, PPSEN, EM-FL, FL-SH, FL-SD, SD-PM, FL-LF, LEFAX, SLAVR, SIZLF, XFRT, WTPSD, SFDUR, SDPDV, PODUR, THRSH, SDPRO, SDLIP were evaluated. The model was calibrated and evaluated with the days to flowering, days to physiological maturity, biomass at maturity and seed cotton yield during 2019 in all different dates of sowing. The Suvin cotton variety was used in the experiments which are grown under ideal conditions with no water or nutrient limitations in monitoring site of farmer’s field. The model simulated values for days to flowering and days to physiological maturity were similar to the observed data, with an RMSE of less than 4 days. The highest simulated biomass yield at harvest maturity was found to be 3211 kg ha-1 followed by 3183 kg ha-1 when crop

Keywords

DSSAT, CROPGRO- Cotton model, calibration and validation.