Full TGIF Record # 324988
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Web URL(s):https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/142645
    Last checked: 01/30/2023
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Zhang, Pingyuan; Clarke, Bruce B.; Ward, Daniel; Murphy, James A.
Author Affiliation:Zhang: Presenting Author and Rutgers University; Clarke, Ward and Murphy: Rutgers University
Title:Evaluating action thresholds of a logistic regression model for fungicide control of dollar spot on creeping bentgrass
Section:Turfgrass pest management oral II (includes student competition)
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C05 turfgrass science
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Meeting Info.:Baltimore, Maryland: November 6-9, 2022
Source:ASA, CSSA, SSSA International Annual Meeting. 2022, p. 142645.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"The risk index (RI) of a logistic regression model (Smith-Kerns) based on 5-d moving averages of air temperature and relative humidity has been used to guide fungicide applications to control dollar spot on disease susceptible but not tolerant cultivars. A field trial was initiated in May 2019 to assess multiple interpretations (action thresholds) of the RI output for the control of dollar spot on two creeping bentgrass (A. stolonifera) cultivars in North Brunswick, NJ. Each cultivar ('Declaration', disease tolerant and 'Independence', susceptible) was subjected to 17 fungicide programs that included a calendar-based preventive schedule, disease-threshold curative schedule, or 15 (3 x 5 factorial) action thresholds of the RI output. The 15 action thresholds included three levels of the RI (20, 30, and 40%) and five levels evaluating the change in the RI over the previous and/or forecasted 5-day period (RI-slope). Fungicide was applied when the RI thresholds were reached and the RI-slope was 1) positive over the previous 5-day (PS); 2) positive over the forecasted 5-day (FS); 3) positive over both the previous and forecasted 5-day (PS-and-FS); 4) positive over the previous or forecasted 5-day (PS-or-FS), or 5) where RI-slope was not considered as a component of the action threshold (RI-only). All action thresholds were highly effective in controlling dollar spot on Declaration during three years of the trial, except in 2021 when the PS-and-FS level of RI-slope combined with any of the RI levels. Adding the RI-slope to RI threshold (except for PS-and-FS level in 2021) further reduced fungicide applications without reducing disease control on Declaration. Disease response on Independence differed among RI-only action thresholds; only the 20% RI was highly effective at controlling dollar spot similar to the calendar-based program over the three-year study. Combining RI-slope in an action threshold generally intensified dollar spot on Independence."
Language:English
References:0
Note:"308-2"
This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Zhang, P., B. B. Clarke, D. Ward, and J. A. Murphy. 2022. Evaluating action thresholds of a logistic regression model for fungicide control of dollar spot on creeping bentgrass. Agron. Abr. p. 142645.
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https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/142645
    Last checked: 01/30/2023
    Requires: JavaScript; HTML5
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