Department of Agricultural Meteorology, Anand Agricultural University, P.O. 388 110 Anand, Gujarat
*Corresponding author's present address: Department of Agronomy, College of Agriculture, ANGR Agricultural University, P.O. 500 030, Hyderabad, AP
Sensitivity of InfoCrop simulated grain yield under potential and stressed conditions to change in temperature indicated that with incremental unit increase in mean temperature, the simulated yields decreased and vice versa. But, the magnitude of change from the respective base yields was more to temperature under stressed conditions. This behaviour of the models was mainly ascribed to the logical function that high temperatures reduced the thermal time requirement for pre anthesis and grain filling and this fact resulted into low yields. The InfoCrop model showed linear response to inputs of TTVG (Thermal time for vegetation), potential grain weight (POTGWT), grain number (GNOCF), initial nitrogen (NSOILI) and water content at sowing (WCLI). Besides the above, InfoCrop exhibited linear response to potential growth rate (RGRPOT) and specific leaf area of variety (SLAVAR) as these governed the leaf area index (LAI), respectively in the initial and later stages.
InfoCrop, non-weather parameters, potential yield, sensitivity analysis, stressed condition
