Replication data for: Efficacy of fungicide products for control of dollar spot on a USGA putting green

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Description:
This project evaluated the effect of a Nufarm selective fungicide mixture as compared with common industry standards to control dollar spot (Clarireedia jacksonii, formerly Sclerotinia homeocarpa), and anthracnose (Colletotrichum cereale), if observed. Turfgrass quality parameters on a mature bentgrass/annual bluegrass greens height stand of turf were evaluated, as well as efficacy of the products on disease control.
Author(s):
Lyons, Eric M.

Lyons, Eric M.

Department of Plant Agriculture. Ontario Agricultural College. University of Guelph and Guelph Turfgrass Institute.
, Jordan, Katerina S.

Jordan, Katerina S.

Department of Plant Agriculture. Ontario Agricultural College. University of Guelph and Guelph Turfgrass Institute.
, Watson, John R.

Watson, John R.

Department of Plant Agriculture. Ontario Agricultural College. University of Guelph and Guelph Turfgrass Institute.
, and Howard, Emily

Howard, Emily

Department of Plant Agriculture. Ontario Agricultural College. University of Guelph and Guelph Turfgrass Institute.
Contributor(s):
Lyons, Eric M. and Edwards, Michelle; Husiny, Jaber; Brock, Erica; Schrader, Alicia
Source Repository:
University of Guelph Dataverse
Series:
Agri-environmental Research Data // Ontario Agricultural College // OAC Historical Research Data and Reproducibility Project
Publisher(s):
Borealis
Access:
Public
License:
CC-BY 4.0
URL:
https://doi.org/10.5683/SP3/KZICVO
Publication date:
2024-10-28
Subjects:
Agricultural Sciences
Keywords:
NDVI, Normalized Difference Vegetation Index, point quadrat, Dollar spot, Clarireedia jacksonii, inoculum, Traction, Secure, Mirage, Maxtima, Dedicate, and USGA putting green
Identifier:
https://doi.org/10.5683/SP3/KZICVO

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Citation

APA Citation:
Lyons, E. M., Jordan, K. S., Watson, J. R., & Howard, E. (2024). Replication data for: Efficacy of fungicide products for control of dollar spot on a USGA putting green [Data set]. University of Guelph Dataverse. https://doi.org/10.5683/SP3/KZICVO
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