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| Web URL(s): | https://scisoc.confex.com/scisoc/2018am/meetingapp.cgi/Paper/112560
Last checked: 11/14/2018
Requires: JavaScript |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Booth, Jordan;
McCall, David S.;
Sullivan, Dana |
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| Author Affiliation: | Booth: Plant Pathology, Physiology, and Weed Science, Virginia Tech, Moseley, VA; McCall: School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA; Sullivan: TurfScout, LLC., Greensboro, NC |
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| Title: | Automation of site-specific spring dead spot management |
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| Section: | C05 turfgrass science
Other records with the "C05 turfgrass science" Section
Applied pest management: Diseases and weeds (Includes student competition)
Other records with the "Applied pest management: Diseases and weeds (Includes student competition)" Section
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| Meeting Info.: | Baltimore, Maryland: November 4-7, 2018 |
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| Source: | ASA, CSSA and SSSA International Annual Meetings. 2018, p. 112560. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Canadian Society of Agronomy] |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Cynodon; Disease control; Fungicide application; GPS; Spring dead spot; Technology
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| Abstract/Contents: | "Spring dead spot (SDS) is a chronic, perennial disease of bermudagrass (Cynodon spp.) in regions where bermudagrass enters winter dormancy. Suppression with fungicides is either inconsistent with suboptimal chemistries or cost-prohibitive with more effective products. Technological advances including GPS-guided application equipment, improved GPS accuracy, individual nozzle control, unmanned aerial vehicles (UAVs), and GIS software offer opportunities to reduce fungicide inputs. We have successfully developed UAV-based SDS maps using digital image analysis (DIA) used to guide targeted fall fungicide applications to geo-referenced, pre-existing SDS patches. However, practical application will be negligible if SDS is not suppressed. Therefore, our research objective was to determine whether targeted applications with penthiopyrad, a traditionally effective SDS fungicide, suppresses disease without compromising overall efficacy. Four treatments were completely randomized across twenty replicated 33m2 plots on four 'Vamont' bermudagrass fairways in Richmond VA. Treatments of 1) non-treated control, 2) full-coverage applications of tebuconazole [1.2 kg ai ha-1] (FT), 3) full-coverage applications of penthiopyrad [1.07 kg ai ha-1] (FP), and 4) site-specific penthiopyrad [1.07 kg ai ha-1] (SSP) were initiated in September when soil temperatures reached 18°C. Treatment efficacy was measured using computer-automated DIA and manual patch counts from aerial imagery. Aerial DIA of SDS was significantly lower in both penthiopyrad treatments than the untreated control and tebuconazole (P<0.0001). Furthermore, SSP applications compared favorably to FP. SDS patches were reduced by all fungicides (P<0.0001). SSP compared favorably to FT but had more patches per plot than FP. These conflicting results suggest that overall SSP is as effective as full-coverage applications at suppressing SDS but does not account for new patches that develop. For continued success, incidence maps will likely need to be generated annually to account for new SDS epidemics. Our research demonstrates the efficacy of computer-automated, site-specific management of SDS from aerial mapping and GPS-guided fungicide applications." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
"140-5" |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Booth, J., D. S. McCall, and D. Sullivan. 2018. Automation of site-specific spring dead spot management. Agron. Abr. p. 112560. |
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Last checked: 11/14/2018
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