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ARS Home » Plains Area » El Reno, Oklahoma » Oklahoma and Central Plains Agricultural Research Center » Research » Publications at this Location » Publications at this Location

Publications at this Location

ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location.

Clicking on a publication title will take you to more information on the publication. Clicking on the reprint icon Repository URL will take you to the publication reprint.

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2025 Publications
(listed by order of acceptance date)

Current View: All Publications

Show All Publications || Peer Reviewed Journal Publications Only

Displaying 1 to 11 of 11 Records

Refining drought assessment: A multi-dimensional analysis of condition monitoring observer reports in Missouri (2018–2024) Reprint Icon
(Peer Reviewed Journal)
(25-Mar-25)
Introduction to computational fluid dynamics (CFD) modeling for dam and levee safety
(Other)
(14-Mar-25)
Accelerating dam safety innovation through federal, state, and university collaborations
(Abstract Only)
(24-Feb-25)
Evaluating adoption of intensified forage systems effects on water, soil, and nutrient retention under variable precipitation cycles of the Southern Plains
(Abstract Only)
(24-Feb-25)
Sclerotinia blight on peanut: A short review
(Review Article)
(20-Feb-25)
Engineering Monograph No. 45: The fluid mechanics of hydraulic jacking
(Government Publication)
(13-Feb-25)
Evaluating intensified forage systems for water, soil, and nutrient retention in the Southern Great Plains
(Abstract Only)
(28-Jan-25)
Characterization of a greenbug resistance gene in a wheat breeding line BW 49921
(Peer Reviewed Journal)
(28-Jan-25)
Impacts of irrigated and non-irrigated land use on convective environments and related diagnostic variables during GRAINEX in Nebraska, USA
(Peer Reviewed Journal)
(21-Jan-25)
A stochastic weather generator-based framework for generating ensemble sub-monthly precipitation for streamflow prediction Reprint Icon
(Peer Reviewed Journal)
(7-Jan-25)
Machine learning the abiotic stressor impacts on nitrogen availability and photo energy use in dryland forage systems under different tillage and green manuring practices Reprint Icon
(Peer Reviewed Journal)
(2-Jan-25)