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was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014.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.
The QDMA spatial map depicting deer density (deer per square mile) was digitized across the eastern United States. Estimates of deer density were: White = rare, absent, or urban area with unknown population, Green = less than 15 deer per square mile, Yellow = 15 to 30 deer per square mile, Orange = 30 to 40 deer per square mile, or Red = greater than 45 deer per square mile. These categories represent coarse deer density levels as identified in the QDMA report in 2009 and should not be used to represent current or future deer densities across the study region.
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.
For this study, 737 sweetpotato accessions were obtained from the USDA, ARS, PGRCU, Griffin, GA. Each PI was grown in the field in replicated plots at the U. S. Vegetable Laboratory, Charleston, SC. The mature leaves of each PI was collected and measured using a Konica Minolta Chroma Meter (CR 400). Data were recorded using CIE 1976 L*a*b* and CIE L*C*h* color spaces. Data from this study is contained in a manuscript that will be submitted to Genetic Resources and Crop Evolution under the title "Color Analysis of Sweetpotato Leaves from the USDA, ARS Germplasm Collection." Data parameters collected were lightness (L*), red-green coordinate (a*), yellow-blue coordinate (b*), color intensity or chroma (C*), and hue angle (h*).
The ARS Water Data Base is a collection of precipitation and streamflow data from small agricultural watersheds in the United States. This national archive of variable time-series readings for precipitation and runoff contains sufficient detail to reconstruct storm hydrographs and hyetographs. There are currently about 14,000 station years of data stored in the data base. Watersheds used as study areas range from 0.2 hectare (0.5 acres) to 12,400 square kilometers (4,786 square miles). Raingage networks range from one station per watershed to over 200 stations. The period of record for individual watersheds vary from 1 to 50 years. Some watersheds have been in continuous operation since the mid 1930's.