Vol. 6, Issue 3 (2018)
Forecasting of rice yield of South Dinajpur district of West Bengal using CERES-rice (DSSAT 4.5) model
Author(s): SB Satpute, A Rai, S Bandyopadhyay, D Mahata, D Halder, DS Gupta, and S Bandyopadhyay
Abstract: The CERES-Rice (DSSAT 4.5) crop simulation model was used to forecast the yield of monsoon rice of South Dinajpur District of west Bengal for the year 2013 by simulating the growth, development and yield of two predominant rice cultivars (Swarna and Satabdi) in relation to the predominant transplanting dates (10 July, 20 July and 30 July). The CERES-Rice model is a simulation model for rice that describes phonological development and growth in response to environmental factors (soils, weather and management). Daily weather data on maximum temperature, minimum temperature, rainfall, and bright sunshine hours for 29 years (1983-2011) was analyzed to study the variability in terms of rainfall and temperature. The model was able to forecast the yield quite accurately for the South Dinajpur district. The predicted yields for 2013 at F3 stage was 2.60 t ha-1 with RMSE values of observed to predicted, observed to trend and trend to predict were 847.31, 93.85 and 846.93 respectively.
Pages: 2542-2546 | 471 Views 77 Downloads
download (5259KB)
How to cite this article:
SB Satpute, A Rai, S Bandyopadhyay, D Mahata, D Halder, DS Gupta,, S Bandyopadhyay. Forecasting of rice yield of South Dinajpur district of West Bengal using CERES-rice (DSSAT 4.5) model. Int J Chem Stud 2018;6(3):2542-2546.
