Physical Sciences and Mathematics Commons^™

Use Of Multiple Environment Variety Trials Data To Simulate Maize Yields In The Ogallala Aquifer Region: A Two Model Approach, Vaishali Sharda, Mesfin Mekonnen, Chittaranjan Ray, Prasanna H. Gowda

Daugherty Water for Food Global Institute: Faculty Publications

With a long-term goal to optimize use of groundwater in the Ogallala Aquifer Region (OAR) to sustain food production systems, this study was conducted to calibrate Decision Support System for Agrotechnology Transfer (DSSAT) and AquaCrop crop modeling platforms to simulate maize production at a regional scale using historic datasets. Calibration of the models with local crop growth data and crop management practices is important, but usually this in-season crop growth information is not available. This study determined the possibility of using maize variety trial data for the evaluation of the CSM-Crop Estimation through Resources and Environmental Synthesis-Maize and AquaCrop models …