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UGA Variety Testing Soybean Evaluations 2016-2019

    This data was collected and published by University of Georgia's Statewide Variety Testing program from 2016-2019. It consists of experimental (non-regulated) and commercially-released soybean germplasm entered by seed companies and public institutions.

    Feedstock Readiness Level (FSRL) evaluation: Pennisetum purpureum (napiergrass), Alcohol-to-Jet, Southeast, June 2018

      Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in June 2018, assesses the maturity of *Pennisetum purpureum* (napiergrass) as a feedstock for the Alcohol-to-Jet conversion process in the United States Southeast region.

      Feedstock Readiness Level (FSRL) evaluation: Panicum virgatum (switchgrass), Alcohol-to-Jet, Southeast, June 2018

        Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in June 2018, assesses the maturity of *Panicum virgatum* (switchgrass) as a feedstock for the Alcohol-to-Jet conversion process in the United States Southeast region.

        Complete Data and Analysis for: Fungicide Effectiveness on Soybean Rust in the Southeastern United States 2004-2014: A Meta-Analysis

          Soybean rust is a concern to soybean growers and management of soybean rust primarily depends on disease scouting and the timely use of fungicides. The goal of this study was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014. The data included in this repository includes the complete dataset as a comma-separated-value file and all Program R code necessary to replicate the data processing, analysis, and graphing.