1Section of Statistics, Department of Farm Engineering, Institute of Agricultural Sciences, BHU, Varanasi, India
2DST-Mahamana Centre of Excellence for Climate Change Research, Institute of Environment and Sustainable Development, BHU, Varanasi, India
*Corresponding author: manvendrastat66@gmail.com (ORCID ID: 0000-0003-1018-9815)
Online published on 8 April, 2020.
The crop growth model DSSAT (Decision Support Systems for Agrotechnology Transfer) used to simulate the weather parameters impacts on crop growth and yield. The experiment was conducted on Wheat crop in North Eastern Plain Zone of India. The main objective of the study was to evaluate wheat phenological stages and yield in major wheat growing zone of India. Among the parameters of the crop Yield and Days of flowering has been used for calibration and validation purpose. For the study CERES-Wheat model was used for the calibration and validation. Different data sets were used for the calibration and validation of the model. Methods of deviation statistics like Index of Agreement (d), RMSE and NRMSE are used to measure the efficiency of the model. For Yield it shows (d), RMSE and NRMSE values 0.961, 199.25 and 5.17 respectively and for Days of flowering it shows (d), (RMSE) and NRMSE values are 0.970, 4.37 and 4.35 respectively. Study results shows that model is adequate to simulate the effects of climate change on wheat yield in North Eastern Plain Zone of India that are free from all pests. The model may also be used to improve and evaluate the current practices of wheat growth management to enhance wheat production.
Present study thus carried out for the calibration and validation of DSSAT-CERES Model in North Eastern Plain Zone of India for wheat crop.
Wheat, Climate Change, DSSAT, CERES-model, calibration and validation
