Full TGIF Record # 317172
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Web URL(s):https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/133539
    Last checked: 04/01/2022
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Publication Type:
Content Type:Abstract or Summary only
Author(s):Kowalewski, Alexander R.; McDonald, Brian W.; Mattox, Clint; Braithwaite, Emily; Cain, Alyssa; Tao, Steven
Author Affiliation:Kowalewski and Cain: Horticulture, Oregon State University - Horticulture, Corvallis, OR; McDonald and Mattox: Horticulture, Oregon State University, Corvallis, OR; Braithwaite and Tao: Oregon State University, Corvallis, OR;
Title:An evaluation of methods to quantify the effects produced by golf shoes on a putting surface
Section:Turfgrass science poster
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C05 turfgrass science
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Meeting Info.:Salt Lake City, Utah: November 7-10, 2021
Source:ASA, CSSA and SSSA International Annual Meetings. 2021, p. 133539.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"While golf shoes are often blamed for affecting surface performance and appearance, few methods are available to quantify differences. The objective of this experiment was to identify quantitative tools capable of documenting differences in surface performance and appearance produced by golf shoes. This research was conducted on an annual bluegrass practice putting green at the Royal Oaks Country Club in Vancouver, OR. Experimental design was a randomized complete block design with 4 replications. Factors include foot traffic applied using 4 different shoes (numbered 1, 2, 3, and 4) and a non-treated control, which did not receive foot traffic. Ball roll distance was determined using the Stimpmeter, while vertical and lateral deviation were determined using the ParryMeter after 60, 120, and 240 rounds of simulated foot traffic. Normalized difference vegetative index (NDVI) was collected using the CM1000 NDVI meter, and digital images were collected using a photo box to determine percent green cover (0 to 100%) and dark green color index (DGCI) after the completion of 240 rounds of simulated foot traffic. The Stimpmeter was able to quantify significant differences between plots that received foot traffic and plots that did not receive foot traffic after 120 and 240 rounds. The PerryMeter was able to identify differences in lateral and vertical deviation between treatments receiving foot traffic and non-treated control treatments, and differences between shoes after 60, 120, and 240 rounds of simulated foot traffic. Foot traffic had no effect on NDVI, percent green cover, or DGCI collected after 240 rounds of simulated foot traffic. Findings from this project suggest that the ParryMeter is able to detect foot traffic surface disruption after fewer rounds of simulated foot traffic than the Stimpmeter."
Note:This item is an abstract only!
"Poster # 1164"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kowalewski, A. R., B. W. McDonald, C. Mattox, E. Braithwaite, A. Cain, and S. Tao. 2021. An evaluation of methods to quantify the effects produced by golf shoes on a putting surface. Agron. Abr. p. 133539.
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    Last checked: 04/01/2022
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