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| Web URL(s): | https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/143509
Last checked: 03/01/2023
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https://issuu.com/leadingedgepubs/docs/va-turfgrass-2023-jan-feb/22
Last checked: 03/01/2023
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Notes: Virginia Turfgrass Journal reprint; Item is within a single large file |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Henderson, Caleb A.;
McCall, David S. |
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| Author Affiliation: | Henderson: Presenting Author and Virginia Tech; McCall: Virginia Tech |
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| Title: | Strategies for precision management of spring dead spot across whole golf course fairways |
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| Section: | Turfgrass pest management oral II (includes student competition)
Other records with the "Turfgrass pest management oral II (includes student competition)" Section
C05 turfgrass science
Other records with the "C05 turfgrass science" Section
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| Meeting Info.: | Baltimore, Maryland: November 6-9, 2022 |
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| Source: | ASA, CSSA, SSSA International Annual Meeting. 2022, p. 143509. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
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| # of Pages: | 1 |
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| Abstract/Contents: | "Spring dead spot (Ophiosphaerella spp.) is the most economically important disease in hybrid bermudagrasses (Cynodon dactylon (L.) Pers. x transvaalensis Burtt Davy). Conventional treatment for spring dead spot (SDS) includes full-coverage fungicide applications over entire areas, such as golf course fairways. Many turfgrass professionals chose less expensive, and often less effective, products to combat SDS because of associated costs of spraying large acreages, leading to unsatisfactory results. Previous research indicates that precision SDS management can reduce the fungicides by 65% while still maintaining control similar to full coverage applications. However, this utilized hand drawn maps which take time and expertise to generate. Previously, we developed a Python script to automate the SDS identification process for prescriptive fungicide applications across uniform turfgrass systems. In this study, we created SDS incidence maps using the aforementioned Python script from drone imagery over four golf course fairways across four replicated locations across Virginia in the spring of 2021. Fairways within replicated location were classified as either full-coverage, spot, or zonal applications and compared against a nontreated control. Spot treatments were created by creating a 1m radius buffer around script-generated points and zonal treatments were selected based on a kernel density function of points. Treated areas received 4.03 kg ai/ha of isofetamid applied in the fall of 2021 applied using a Toro Multipro 5800 with GeoLink GPS sprayer. Follow-up imagery was collected in the spring of 2022, with the change in SDS patch count analyzed to assess performance. Our data suggest that both spot and zonal treatment methods were equivalent to full-coverage fungicide applications while reducing the area sprayed between 10 and 85%. These results highlight the possibility for precision treatment of turfgrass pests without sacrificing control, while reducing environmental inputs and associated costs for turfgrass managers." |
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| Language: | English |
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| References: | 0 |
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| Note: | Reprint appears in Virginia Turfgrass Journal, January/February, 2023, p. 23
"308-4"
This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Henderson, C. A., and D. S. McCall. 2022. Strategies for precision management of spring dead spot across whole golf course fairways. Agron. Abr. p. 143509. |
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| Web URL(s):
https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/143509
Last checked: 03/01/2023
Requires: JavaScript
https://issuu.com/leadingedgepubs/docs/va-turfgrass-2023-jan-feb/22
Last checked: 03/01/2023
Requires: JavaScript
Notes: Virginia Turfgrass Journal reprint; Item is within a single large file |
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