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

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Title Crop Modeling of Field Trial Data to Estimate Crop Coefficient (Kc) for Weather Station Network-based Irrigation Scheduling System in Aral Sea Basin Site
 
Creator Djumaniyazova, Yulduzoy
 
Contributor Nangia, Vinay
Egamberdiev, Oybek
Gowda, Prasanna
Sultanov, Murodjon
Sin, Liliana
Akramkhanov, Akmal
Suleiman, Ayman
 
Subject dssat tool
 
Description 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.
 
Date 2016-02-01T21:28:17Z
2016-02-01T21:28:17Z
 
Type Internal Report
 
Identifier https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/EQUB0B
https://mel.cgiar.org/reporting/downloadmelspace/hash/4YWCFZZZ/v/e2a6ec9f34b1113e9b08f7648f6a2ed8
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.
https://hdl.handle.net/20.500.11766/3387
Open access
 
Language en
 
Rights CC-BY-NC-4.0
 
Format PDF