Crop Modeling of Field Trial Data to Estimate Crop Coefficient (Kc) for Weather Station Network-based Irrigation Scheduling System in Aral Sea Basin Site


Views
0% 0
Downloads
0 0%
CC-BY-NC-4.0

Citation

Yulduzoy Djumaniyazova, Vinay Nangia, Oybek Egamberdiev, Prasanna Gowda, Murodjon Sultanov, Liliana Sin, Akmal Akramkhanov, Ayman Suleiman. (31/12/2015). Crop Modeling of Field Trial Data to Estimate Crop Coefficient (Kc) for Weather Station Network-based Irrigation Scheduling System in Aral Sea Basin Site.
This report covers the period 1 October 2013- 31 December 2015, and documents the cotton and winter wheat modeling results to complete the this task implemented: (1) compilation of agronomic and irrigation management data from the past experiments for crop modeling with DSSAT decision support tool, (2) calibration of DSSAT tool to winter wheat and cotton crops, and (3) development of crop coefficients for winter wheat and cotton using crop growth simulation with long-term weather data.

Author(s) ORCID(s)