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Calibration and validation of DSSAT model (v. 4.7) for rice in Prayagraj

Journal of Pharmacognosy and Phytochemistry · 2019 · Vol. 8(4) · pp. 2916–2919

Abstract

The DSSAT model (v 4.7) was calibrated and validated for rice (var. NDR – 359, NDR – 97 and SARJU – 52) using experimental data of 6 years (2012 – 2018) of Research Farm, College of Forestry, SHUATS for Rice. The yield attributes as simulated by models were compared with the observed data. The result revealed that average error percentage of rice yield as simulated by DSSAT model for var. NDR – 359, NDR – 97 and SARJU – 52 were 2.36, 4.84 and 3.23 respectively. Based on these results it can be concluded that the model was very robust in predicting the yield of rice in Prayagraj condition.

Rice Cultivation and Yield ImprovementAgricultural Economics and PracticesSpectroscopy and Chemometric AnalysesDSSATYield (engineering)CalibrationStatisticsAgronomyEnvironmental scienceMathematicsBiological systemBiologyCrop yield
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
13%
vs. same field & year
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Calibration and validation of DSSAT model (v. 4.7) for rice in Prayagraj · Scinovex