Full TGIF Record # 309558
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Web URL(s):https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/120800
    Last checked: 12/03/2019
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Lee, Sang Kook; Zhang, Pingyuan; Clarke, Bruce B.; Murphy, James A.
Author Affiliation:Lee: Department of Biotechnology, Hoseo University, Asan, Korea, Republic of (South); Zhang, Clarke, and Murphy: Department of Plant Biology, Rutgers University, New Brunswick, NJ
Title:Quantifying dollar spot severity using digital image analysis
Section:C05 turfgrass science
Other records with the "C05 turfgrass science" Section

Turfgrass pest management poster: Diseases, insects, weeds (includes student competition)
Other records with the "Turfgrass pest management poster: Diseases, insects, weeds (includes student competition)" Section
Meeting Info.:San Antonio, Texas: November 10-13, 2019
Source:ASA, CSSA and SSSA International Annual Meetings. 2019, p. 120800.
# of Pages:1
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
Keywords:TIC Keywords: Agrostis; Cultivar evaluation; Disease incidence; Disease severity; Dollar spot; Image analysis
Abstract/Contents:"Symptoms of dollar spot, caused by Clarireedia jacksonii Salgado, Beirn, Clarke and Crouch sp. nov. - formerly known as Sclerotinia homoeocarpa F.T. Bennett - manifest as straw-colored, circular infection centers. The incidence of dollar spot is often quantified by counting the number of infection centers per unit area; however, the diameter of infection centers is typically smaller on low-susceptibility cultivars of bentgrass (Agrostis spp.). This study sought to determine whether an assessment of the area of disease damage (severity) differed from counting infection centers (incidence) when comparing bentgrass cultivars. Dollar spot was assessed during 2017 on six bentgrass cultivars by counting infection centers (0.74 m2 plot area) and collecting digital images (0.22 m2 area) of the same plots. A PowerShot G12 (Canon USA, Inc., Lake Success, NY) digital camera set at a shutter speed of 1/40 s, aperture of F2.8, ISO of 100, and a focal length of 8 mm captured images (1600 x 1200 pixels) of plots within an enclosed box equipped with artificial lighting. Color threshold settings of hue (0 to 44), saturation (0-255) and brightness (130 to 255) were used in ImageJ software to identify pixels of symptomatic tissue. Groupings of 100 or more adjacent, symptomatic pixels were counted and divided by the total number of pixels to determine the percentage of turf area diseased. The slopes of regression lines - representing the increase in percentage of diseased area as the count of infection centers increased - for cultivars ranged from 0.02 to 0.11. Less susceptible cultivars had lower slopes and, therefore a lower percentage of damaged area at a given count of infection centers than cultivars considered more susceptible to dollar spot. Thus, quantifying disease damaged area may be more effective than counts of infection centers at distinguishing differences in susceptibility to dollar spot among bentgrass cultivars."
Language:English
References:0
Note:This item is an abstract only!
"181"
"Poster #1624"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Lee, S. K., P. Zhang, B. B. Clarke, and J. A. Murphy. 2019. Quantifying dollar spot severity using digital image analysis. Agron. Abr. p. 120800.
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    Last checked: 12/03/2019
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