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RZWQM2

    Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.

    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was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014.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.

          Bugwood Images

            Bugwood Images provides an easily accessible archive of high quality images for use in educational applications. It is made up of five major website interfaces. These are ForestryImages, IPMImages, InsectImages, WeedImages, and Invasive.org. The focus of Bugwood Images is on species of economic concern. Images cover invasive species, forestry, agriculture, integrated pest management, plants, insects, diseases, fungi, wildlife, fire and other natural resource issues.