Asian Journal of Microbiology, Biotechnology & Environmental Sciences Paper

Vol 24, Issue 2, 2022; Page No.(308-313)

CALIBRATION AND VALIDATION OF CERES-SORGHUM CROPSIMULATION MODEL IN DSSATV 4.7

G. SUBRAMANYAM, S.B. KHARBADE, J.D. JADHAV, A.A.SHAIKH,R. BALASUBRAMANIAN, V.A. STHOOL AND B.B. FAND

Abstract

A study was conducted during rabi, 2016-17 and 2017-18 to calibrate and validate the CERESSorghummodel in DSSATv 4.7. The NRMSE (Normal Root Mean Square Error) values for simulations forphysiological maturity are 16.06 per cent, 19.7 per cent, 12.08 per cent and 14.3 per cent for Maldandi (V1),Phule Vasudha (V2), Phule Maulee (V3) and Phule Chitra (V4), respectively. The mean simulated grain yieldwas 37.4 (q/ha) against observed grain yield of 37.6 (q/ha) in case of V1. The mean observed grain yieldswere 44.7 and 44.3, 37 and 35.6, 45.2 and 41.8 (q/ha) in case of V2, V3 and V4, respectively. The NRMSE valuesfor simulations were 19.6%, 19.6%, 15.71% and 17.2% for V1, V2, V3 and V4, respectively. The mean simulatedstraw yield was 77.51 (q/ha) against observed yield of 91.0 (q/ha) case of V1. According to Loague and Green(1991) if NRMSE is between 10–20%, simulations are good and CERES- Sorghum model is good inpredicting the growth and yield of Sorghum. As the model is predicting the phenology and yield well,CERES-Sorghum model can be used for climate change impact studies.