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

ArchMiller, Althea A
Delaney, Mary A
Delaney, Dennis P
Wilson, Alan E
Sikora, Edward J
2016-08-02
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http://hdl.handle.net/11299/181538.1
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Collection period

2014
2015

Date completed

2016-07-26

Date updated

Time period coverage

2008-2014

Geographic coverage

Southeastern United States (Alabama, Florida, Georgia, Louisiana, and Mississippi)

Source information

Data was derived from published and unpublished fungicide evaluation studies. See full reference list in the README file.

Journal Title

Journal ISSN

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Title

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

Published Date

2016-08-02

Authors

Group

Author Contact

ArchMiller, Althea A
althea.archmiller@gmail.com

Type

Dataset
Software Code

Abstract

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was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014.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

Description

Referenced by

Delaney, ArchMiller, Delaney, Wilson and Sikora. Fungicide Effectiveness on Soybean Rust in the Southeastern United States 2004-2014: A Meta-Analysis. In preparation for Journal of Plant Disease

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Version 2:
http://hdl.handle.net/11299/181538

License

Attribution-NonCommercial-ShareAlike 3.0 United States
 http://creativecommons.org/licenses/by-nc-sa/3.0/us/

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Data Repository for U of M (DRUM)

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Description
Size
workspace.csv
Dataset used for meta-analysis
(124.9 KB)

publication_summary.csv
Summary of studies used in the meta-analysis
(3.32 KB)

data_processing.html
Code to process raw data for analysis
(60.9 KB)

data_analysis.html
Code to conduct meta-analysis
(45.67 KB)

result_graphing.html
Code to produce figures for manuscript
(155.51 KB)

publication_bias.html
Code to test for publication bias
(16.7 KB)

sensitivity_analysis.html
Code to conduct sensitivity analysis
(530.22 KB)

Rscripts.zip
Archive of the code in original .r format
(10.75 KB)

README.txt
Description of the data
(30.59 KB)

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