The Changing climatic scenario has become a global concern in the present context. Climate change will have a significant impact on agriculture. Risks associated with the climate change depend highly on near-term mitigation and adaptation strategies in securing a sustainable agricultural livelihood. Several studies have proven that crop simulation models have being effectively adopted to assess the impact of projected changing climate in agricultural production system. In the present study, CERES Rice model under Decision Support System for Agro-technology Transfer (DSSAT) is used to simulate the most popular rice cultivar Swarna (MTU 7029) under East and South Eastern Coastal Plain agro-climatic zone of Odisha and to predict potential crop yield on the basis of weather variables viz. daily rainfall, solar radiation, and maximum and minimum temperatures. This model aids in identifying the differences between expected possible crop yields and actual yields in a given environment. If the gap is identified between possible and actual crop yields, optimization of crop yields can be operated through this transfer of technology to minimize the gap through timely interventions. The findings revealed that the CERES-Rice model evaluation denotes a good agreement between observed and simulated growth and development characteristics for the Kharif rice variety.

Crop simulation model, Swarna (MTU 7029), Crop Yields, DSSAT - CERES Rice

In the present investigation, it was concluded that the CERES-Rice model evaluation showed a good agreement between observed and simulated growth and development characteristics for the Kharif rice variety. Among the four transplanting dates July 7, July 22, August 6 and September 1, Swarna variety of rice produced higher grain yield under mid-season planting on August 6. This is mostly due to the fact that the highest rainfall received is shifted from the month of July to the month of August. The duration from transplanting to panicle initiation, anthesis and physiological maturity is found to be increased in case of delayed transplanting condition.

B. Srilaxmi, B.S. Rath and A. Baliarsingh (2023). Evaluation of DSSAT-CERES-Rice Model through different Dates of Planting in East and South Eastern Coastal Plain Zone of Odisha. Biological Forum – An International Journal, 15(8): 577-581.