UGA Variety Testing Soybean Evaluations 2016-2019: ARDN products

Principal Investigator(s):  View help for Principal Investigator(s) US Department of Agriculture; National Agricultural Library

Version:  View help for Version V1

Name File Type Size Last Modified
GVT_soybean_2016-2019-sc2.json application/json 19.7 KB 06/26/2026 12:12:PM
adc_metadata.json application/json 25.5 KB 06/27/2026 09:28:AM
catalog_detail.html text/html 13.1 KB 06/26/2026 12:12:PM

Project Citation: 

US Department of Agriculture, and National Agricultural Library. UGA Variety Testing Soybean Evaluations 2016-2019: ARDN products. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-27. https://doi.org/10.3886/E250484V1

Project Description

Project Title:  View help for Project Title UGA Variety Testing Soybean Evaluations 2016-2019: ARDN products
Summary:  View help for Summary ARDN provides dataset annotations which facilitate interoperability. For information on how to use ARDN annotations and other data products, see https://agmip.github.io/ARDN/ARDN_how.html. 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. Tests were conducted at 7 university-owned farms throughout Georgia, and include environments from the lower Coastal Plain to the southern Appalachians. Locations include Blairsville, Rome, Griffin, Athens (Watkinsville), Midville, Plains and Tifton. Four locations hosted dryland tests in addition to irrigated tests from 2016-2018. In 2019, dryland testing was discontinued in favor of another irrigated environment including all varieties. The number of years a variety was tested varies since their inclusion is determined by the respective test participant. Soil types differed between locations. Initial soil fertility for P and K is categorized, and actual rates of applied fertilizer are listed. Applied fertilizer rates were chosen to support a yield goal slightly above the maximum observed at the site in previous years. Ultra-late soybean plantings following corn harvest are part of this data set. Their economic viability is limited to the Coastal Plain region of Georgia, South Carolina, and perhaps Alabama. Varieties of maturity groups 5-8 all flower and mature similarly in that environment (planting window), and observed yields do not correlate to typical main-season plantings of those same varieties.


Resources in this dataset:

Resource Title: SC2 for UGA Variety Testing Soybean Evaluations 2016-2019. File Name: GVT_soybean_2016-2019-sc2.jsonResource Software Recommended: AgMIP QuadUI,url: https://github.com/agmip/quadui/releases

Resource Title: SC2 for UGA Variety Testing Soybean Evaluations 2016-2019.

File Name: GVT_soybean_2016-2019-sc2.json

Resource Software Recommended: AgMIP QuadUI,url: https://github.com/agmip/quadui/releases
Original Distribution URL:  View help for Original Distribution URL https://agdatacommons.nal.usda.gov/articles/dataset/UGA_Variety_Testing_Soybean_Evaluations_2016-2019_ARDN_products/24667353

Scope of Project

Subject Terms:  View help for Subject Terms ARDN-dev; Georgia; soybean yield
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 1/1/2016 – 12/31/2019
Data Type(s):  View help for Data Type(s) observational data
Collection Notes:  View help for Collection Notes DOI: 10.15482/USDA.ADC/1529182 Citation: Mailhot, Daniel J.; Thomas, Jean Gruters (2021). UGA Variety Testing Soybean Evaluations 2016-2019: ARDN products. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1529182 (Downloaded 2026-06-26)


Related Publications

Download this project

Published Versions

V1 [2026-06-27]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as received from the data depositor. ICPSR has not reviewed, checked, or processed this material. For additional information about the study, please contact the investigator(s) directly. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR's Accessibility Center.