Vol. 12, Issue 5 (2023)

Author(s):
Gaurav Chaturvedi, Moumita Chakraborty, AS Nain and RK Singh

Abstract:
A field experiment was conducted at G. B. Pant University of Agriculture and Technology, Pantnagar in 2016 for optimizing date of transplanting, timing and rate of application of split doses of nitrogen fertilizer for rice under climate change scenario in the terai region of Uttarakhand. Crop Environment Resource Synthesis (CERES)-Rice model of Decision Support System for Agrotechnology Transfer (DSSAT) v4.6 software was used after calibration and validation for optimization of resources for rice varieties HKR-47 and Pant Basmati-1, against a rise of 1.7 °C in the mean temperature during the year 2050. The model performance in simulating LAI, biomass and grain yield was found satisfactory with values of R², nRMSE and d-index between 0.75-0.86, 5.90-13.37% and 0.85-0.95, respectively. Our results showed that early transplanting by 5 to 6 days along with optimising nitrogen fertilizer application date and rate of split doses of nitrogen application gives better yield of rice as compared to the existing practices. The recommendations after optimizing the resources increased the yield of HKR-47 and Pant Basmati-1 by 4.52% and 5.06%, respectively against the temperature rise in 2050. We conclude that the optimized practices suggested using the model output is more profitable as compared to existing standard practices and can be used for improving rice production in terai region of Uttarakhand under climate change scenario.