Full TGIF Record # 296657
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Web URL(s):http://archive.lib.msu.edu/tic/golfd/article/2018apr.pdf#page=34
    Last checked: 11/08/2018
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    Notes: Item is within a single large file
http://www.golfdom.com/predicting-dollar-spot-just-got-easier/
    Last checked: 04/13/2018
http://digital.golfdom.com/apr2018#&pageSet=17
    Last checked: 04/13/2018
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Publication Type:
i
Trade
Author(s):Anthony, Allison; Kerns, Jim; Koch, Paul; Smith, Damon
Author Affiliation:Anthony: Graduate Student, North Carolina State University; Kerns: Ph.D. and Turfgrass Pathologist, North Carolina State University; Koch: Ph.D. and Turfgrass Pathologist, University of Wisconsin-Madison; Smith: Ph.D. and Field Crop Pathologist, University of Wisconsin-Madison
Title:Predicting dollar spot just got easier
Column Name:Every dollar spot counts
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Section:Super science
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Source:Golfdom. Vol. 74, No. 4, April 2018, p. 32-35.
# of Pages:4
Publishing Information:Cleveland, Ohio: North Coast Media LLC
Keywords:TIC Keywords: Application frequency; Application timing; Climatic factors; Disease control; Disease forecasting; Disease identification; Disease profile; Dollar spot; Epidemiology; Fungicide application; Models; Research priorities; Sclerotinia homoeocarpa
Language:English
References:1
Note:"Hosted by Clark Throssell, Ph.D."
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Anthony, A., J. Kerns, P. Koch, and D. Smith. 2018. Predicting dollar spot just got easier. Golfdom. 74(4):p. 32-35.
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Web URL(s):
http://archive.lib.msu.edu/tic/golfd/article/2018apr.pdf#page=34
    Last checked: 11/08/2018
    Requires: PDF Reader
    Notes: Item is within a single large file
http://www.golfdom.com/predicting-dollar-spot-just-got-easier/
    Last checked: 04/13/2018
http://digital.golfdom.com/apr2018#&pageSet=17
    Last checked: 04/13/2018
    Requires: JavaScript
    Access conditions: Item is within a limited-access website
    Notes: Item is within a single large file
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MSU catalog number: b3668843a
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