Abstract

 A field experiment was conducted during Rabi season of two consecutive years 2016-17 and 2017-18 at research farm, Department of Agricultural Meteorology, CCSHAU, Hisar under sub-tropical environment of Haryana. DSSAT (v4.7) family of SUBSTOR module was employed to simulate the comparison of observed values with simulated values under field conditions with a view to a view to assess the performance of model. The model was calibrated for (2016-17) and derived their genetic coefficient and further outputs were validated for second year (2017-18) experiments. Calibration and validation were done on crop grown under four planting dates viz. 8th Oct. (D1), 22th Oct. (D2), 5th Nov. (D3) and 23rd Nov (D4) in main plot treatment and sub-plots treatments consisted of three varieties Kufri Bahar (V1), Kufri Pushkar (V2) and Kufri Surya (V3) were tested in split plot design with four replications. The results affirms that model overestimated the phenology (days to tuber initiation and physiological maturity) and growth and yield parameters like accumulation of maximum LAI, tuber and biological yield. The model’s simulation performance was found satisfactory, and the model overestimated with fair agreement (±10). Performance of model tested with help of Mean absolute error (MAE), Mean bias error (MBE), Root mean square error (RMSE), r (correlation) and PE (Percent error). The model had capability for optimum potato crop management, phenology prediction and future yield estimation.
Highlights
A field experiment was conducted during Rabi season of two consecutive years 2016-17 and 2017-18 at research farm, Department of Agricultural Meteorology, CCSHAU, Hisar under sub-tropical environment of Haryana
The SUBSTOR model satisfactorily performed in simulating the occurrences of phenological events, maximum LAI accumulation, tuber and haulm yield as indicated by high correlation coefficients and low Mean absolute error (MAE), Mean bias error (MBE), Root mean square error (RMSE) and PE during 2017-18
This paper evaluated the performance of SUBSTOR model on growth and yield of potato varieties under planting dates in a sub-tropical environment of Hisar, Haryana during winter (Rabi) season of 2016-17 and 2017-18
Summary
Standardization of the best planting date is important not just for yield and to ensure better tuber quality These model tools can reduce the cost and time consuming in field experimentation as they can be used to extrapolate the results of research conducted in one season or location to other season and management practices (Arora et al, 2013). Before crop model can be explored to help and understand the effect of environment on crop response, field data is required for calibration and validation of SUBSTOR model In view of these facts the present investigation was designed to find out a suitable potato variety and the optimum planting date to maximize crop productivity in the Subtropical zone
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