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| Web URL(s): | http://www.newss.org/proceedings/Proceedings_NEPPSC16_Vol1.pdf#page=183
Last checked: 03/15/2018
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Proceedings |
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| Content Type: | Abstract or Summary Only |
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| Author(s): | McCall, D. S.;
Sullivan, D.;
Shelton, C. D. |
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| Author Affiliation: | Virginia Tech, Blacksburg, VA |
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| Title: | Mapping spring dead spot for precision turf management |
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| Section: | Turf and ornamentals
Other records with the "Turf and ornamentals" Section
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| Meeting Info.: | Philadelphia, Pennsylvania: January 3-7, 2016 |
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| Source: | Proceedings of the First Annual Meeting of the Northeastern Plant, Pest, and Soils Conference. 2016, p. 157. |
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| Publishing Information: | s.l.: Northeastern Weed Science Society; the Eastern Branch of the Entomological Society of America; the Northeastern Division of the American Phytopathological Society; the Northeast Branch of the American Society of Agronomy; the Crop Science Society of America; the Soil Science Society of America; and the American Society of Horticultural Science-Northeast Region |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Cold resistance; Cynodon; Disease control; Fungicide application; Golf course maintenance; Mapping; Sampling; Spring dead spot; Tebuconazole
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| Abstract/Contents: | "Prevalence of bermudagrass in the upper mid-Atlantic and Northeast is increasing because of improved cold-hardiness in newer varieties. Successful management of bermudagrass in marginal regions of adaptation is limited by the development and persistence of spring dead spot (SDS). Patches frequently appear in the same locations from year to year, but are difficult to control. Fall applications of tebuconazole are common on golf courses because it is economical and typically effective at suppressing SDS over time. The use of tebuconazole is not an option on athletic field turf because of label restrictions. Alternative active ingredients may have greater efficacy but are used less often because of cost. Maps to monitor SDS epidemics may be useful for precision turf management. Fungicide applications based on geographic severity can allow turf mangers to limit total treatable acreage and reduce expenditures. Additionally, such maps may help turf managers identify underlying problems that contribute to SDS, therefore increasing the probability of successful management with cultural practices. The objective of this research is generate a reliable estimation of SDS using equipmentmounted sensors that can be used in precision turf management. Geo-referenced SDS patches were collected from ten fairway locations in Virginia (VA) and North Carolina (NC) in 2014 and 2015 to create a base map of known SDS locations. Reflectance data were continuously collected from the same fairways using a cart-mounted Holland Scientific ACS470 in the red (670nm) red-edge (730nm) and near-infrared NIR (760nm) and transformed using the ratio vegetation index (RVI: NIR/Red). These data were paired with known SDS coordinates, with a random subset of ground truth samples retained for accuracy assessments. RVI averages of known locations were used to estimate SDS across all sampled and un-sampled areas. Accuracy of predicting SDS with RVI ranged from 36-75 percent in NC and 72-94 percent in VA across all fairways over two years. Observed SDS patches appeared smaller in NC than VA, though patch diameter was not measured. A possible explanation for lower accuracy in NC could be attributed to outside interference of green bermudagrass in the sensor field of view (45cm X 8cm), resulting in an RVI average that more closely resembles healthy turf. This may by reduced using higher spatial resolution, which is possible using aerial imagery collected from an unmanned aerial vehicle (UAV). One test fairway of SDS estimation in VA was divided into 66 5m X 1m grids. Approximately 30 percent of the area had no disease, with an additional 10-20 percent having low disease incidence (ā¤2 patches per grid). This research demonstrates that equipment-mounted reflectance mapping provides a rapid and accurate estimation of SDS epidemics, based on a small sampling of known patches. Future research will explore the practicality and reliability of fungicide reductions based on these maps." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
McCall, D. S., D. Sullivan, and C. D. Shelton. 2016. Mapping spring dead spot for precision turf management. p. 157. In Proceedings of the First Annual Meeting of the Northeastern Plant, Pest, and Soils Conference. Philadelphia, Pennsylvania: January 3-7, 2016. s.l.: Northeastern Weed Science Society; the Eastern Branch of the Entomological Society of America; the Northeastern Division of the American Phytopathological Society; the Northeast Branch of the American Society of Agronomy; the Crop Science Society of America; the Soil Science Society of America; and the American Society of Horticultural Science-Northeast Region. |
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| Web URL(s):
http://www.newss.org/proceedings/Proceedings_NEPPSC16_Vol1.pdf#page=183
Last checked: 03/15/2018
Requires: PDF Reader
Notes: Item is within a single large file |
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