Spatial Interpolation of Daily Evapotranspiration (ET) Data in the Texas High Plains Commonly used interpolation (inverse weighted, spline, and kriging) methods and one new method (machine learning with optimization algorithm(s)) were evaluated for mapping reference ET in the Texas High Plains. Thin-plate spline models increased accuracy of the daily ET maps.
Evaluation of SDI Designs Based on four years of field evaluations, total yields from cotton irrigated at 60% of the ET rate were not adversely affected by below standard irrigation distribution uniformity. During these years, weather related factors affected spatial yield variability more than irrigation system design.
the Ogallala Aquifer
Ogallala Initiative is a project funded by the United States
Department of Agriculture-Agricultural Research Service
(USDA-ARS). The Initiative provides permanent funding for
several research projects on water conservation for the
Ogallala Aquifer through a consortium between USDA-ARS,
Kansas State University, Texas A&M University, Texas Tech
University, and West Texas A&M University.”
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