MAMTA, SARITA RANI, ANIL KUMAR, MANISHA, ANURAG AND RAM NIWAS
Krishi Vigyan Kendra, Kurukshetra-136118, CCS Haryana Agricultural University, Hisar (Haryana), India Department of Agricultural Meteorology, CCS Haryana Agricultural University, Hisar-125004 (Haryana), India Department of Entomology, CCS Haryana Agricultural University, Hisar-125004 (Haryana), India
*(e-mail: sarita.hau6@gmail.com)
(Received : 1 March 2026; Accepted : 31 March 2026)
SUMMARY
The DSSAT (Decision Support Systems for Agrotechnology Transfer) crop growth model, specifically the CERES-Wheat model (v4.7.5), was used to simulate impacts of weather parameters on crop growth and yield. The study was conducted during Rabi seasons of 2017-18 and 2018-19 on Wheat crop at research farm, Department of Agricultural Meteorology, CCSHAU, Hisar. The main objective of this study was to evaluate wheat phenological stages and yield. The model was calibrated by using 2017-18 data and tunned their genetic coefficient and further validated with consecutive year 2018-19 data. Field experiment were layed out under three sowing dates viz. 1st week of November (D1), 3rd week of November (D2) and 1st week of December (D3) of four varieties WH-1105 (V1), HD- 3086 (V2), HD-2967 (V3) and WH-1080 (V4) and tested on split plot design with three replications. The crop grain yield, biological yield, Harvest Index (HI), Leaf Area Index (LAI), days of anthesis and physiological maturity had been used for calibration and validation purpose. To evaluate CERES- Wheat model performance, different statistical metrics were used viz., Mean, Standerd Deviation (SD), Correlation (r), Mean Absolute Error (MAE), Mean Bias Error (MBE), Root Mean Square Error (RMSE), Percent Error (PE) and Index of Agreement (D). RMSE for the days of anthesis, days of physiological maturity, LAI, grain yield, biological yield and HI shown 9.44, 5.57, 0.32, 709.89, 1328.09 and 0.05, respectively. Index of agreement (D) for the days of anthesis, days of physiological maturity, LAI, grain yield, biological yield and HI shows 0.998, 0.999, 0.996, 0.996, 0.998 and 0.996, respectively. The results obtained from the DSSAT model may be helpful to simulate the effect of climate change on wheat crop. The model has capability for optimum wheat crop management, phenology prediction and future yield estimation. The model may also be used to improve and evaluate the current practices of wheat growth management to enhance wheat production.
Key words: Wheat, DSSAT, validation, calibration, genetic coffiecent and straw yield