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

soybean rust chart

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was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014.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

Replaces Version 1:
http://hdl.handle.net/11299/181538.1

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Authors
ArchMiller, Althea A.
(ORCID)
Delaney, Mary A.
(ORCID)
Delaney, Dennis P.
Wilson, Alan E.
Sikora, Edward J.
(ORCID)
Product Type
Software tool
Spatial / Geographical Coverage Location
Southeastern United States (Alabama, Florida, Georgia, Louisiana, and Mississippi)
Temporal Coverage
2008/2014
Publisher
University of Minnesota
Contact Name
ArchMiller, Althea A.
Contact Email
Public Access Level
Public
Preferred Dataset Citation
ArchMiller, Althea A; Delaney, Mary A; Delaney, Dennis P; Wilson, Alan E; Sikora, Edward J. (2017). Complete Data and Analysis for: Fungicide Effectiveness on Soybean Rust in the Southeastern United States 2004-2014: A Meta-Analysis. Retrieved from the Data Repository for the University of Minnesota, http://doi.org/10.13020/D62P4F.
Primary Article

Delaney, M., ArchMiller, A., Delaney, D., Wilson, A., & Sikora, E. (2018). Effectiveness of Fungicide on Soybean Rust in the Southeastern United States: A Meta-Analysis. Sustainability, 10(6), 1784.

License
Funding Source(s)
University of Minnesota
Dataset DOI (digital object identifier)
10.13020/D62P4F
Modified Date
2018-06-12
Release Date
2018-06-11
Ag Data Commons Keywords: 
  • Plants & Crops
  • Plant health
  • Plants & Crops
ISO Topic(s):