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| Web URL(s): | https://scisoc.confex.com/scisoc/2018am/meetingapp.cgi/Paper/113012 Last checked: 11/14/2018 Requires: JavaScript |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Straw, Chase M.; Horgan, Brian |
| Author Affiliation: | Department of Horticultural Science, University of Minnesota, St. Paul, MN |
| Title: | Golf course superintendents' knowledge of variability within fairways |
| Section: | C05 turfgrass science Other records with the "C05 turfgrass science" Section Turfgrass science - I poster Other records with the "Turfgrass science - I poster" Section |
| Meeting Info.: | Baltimore, Maryland: November 4-7, 2018 |
| Source: | ASA, CSSA and SSSA International Annual Meetings. 2018, p. 113012. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Canadian Society of Agronomy] |
| # of Pages: | 1 |
| Keywords: | TIC Keywords: GPS; Golf course superintendents; Golf fairway maintenance; Mapping; Normalized Difference Vegetation Index; Precision Turf Management; Soil moisture |
| Abstract/Contents: | "Precision turfgrass management (PTM) currently relies heavily on mapping technologies to identify variability for site-specific applications of management inputs. Despite recent advancements of mapping technologies for turfgrass, a number of potential factors have inhibited widespread adoption of PTM. While focus continues towards mapping technologies, the turfgrass manager's knowledge of variability may be overlooked and underutilized for PTM implementation. Demonstrating the extent of knowledge that turfgrass managers encompass regarding variability, and how they may already be applying this knowledge to their management practices, could 1) facilitate low-tech mapping strategies, 2) assist in improving current mapping technologies, 3) justify the value of current mapping technologies, and 4) warrant the need for additional mapping technologies beyond what is presently available. A case study was conducted with assistant and head golf course superintendents in Minnesota (12 total) using a qualitative GIS approach (interviews, spatial maps, and photo elicitation) aimed at understanding their knowledge of variability within fairways. One fairway from each participants' golf course was randomly selected for use in the study. Initial and follow-up interviews were conducted utilizing a semi-structured interview guide and audio recorded to ensure accuracy of responses. Initial interviews with each participant took place at the predetermined fairway on their course to gain an in-depth understanding of their perception of variability within the fairway. Two paper copies of the fairway's digitized boundary were provided for participants to draw turfgrass quality (i.e. visual color, density, etc.) and soil moisture zones (e.g. areas of high, moderate, and low) based on their knowledge and experience. Immediately after initial interviews, turfgrass quality [normalized difference vegetation index; (NDVI)] and soil moisture (volumetric water content; VWC) were measured across the fairways that resulted in ~100-120 georeferenced data points (utilizing a GPS on the soil moisture measuring device). Georeferenced NDVI and VWC data were imported in ArcMap and interpolated via ordinary kriging to create continuous surface maps of each variable. Standard deviation-based legend classifications were used to highlight areas of high, moderate, and low values within the fairways. Follow-up interviews with each participant were conducted 1-3 weeks later in their office to gain an in-depth understanding of how they compared their hand-drawn maps with interpolated maps, as well as their perceptions about the value of mapping technology after comparing maps, limitations to mapping technology at their course, and how to increase adoption of PTM in the golf course management industry. Audio recordings of all interviews were transcribed verbatim and imported into ATLAS.ti for coding and thematic analysis. Hand-drawn maps were digitized into ArcMap for statistical comparison between hand-drawn and interpolated maps. Interview responses, hand-drawn maps, and interpolated maps were triangulated to further explore and validate findings." |
| Language: | English |
| References: | 0 |
| See Also: | Updated version appears in Turfgrass Science News, December 2018, p. [1-2], R=342977.R=342977 |
| Note: | This item is an abstract only! "232" "Poster Number: 1277" |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Straw, C. M., and B. Horgan. 2018. Golf course superintendents' knowledge of variability within fairways. Agron. Abr. p. 113012. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/302123 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2018am/meetingapp.cgi/Paper/113012 Last checked: 11/14/2018 Requires: JavaScript |
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