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| Full TGIF Record # 250111 Item 1 of 1 |
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| Web URL(s): | https://scisoc.confex.com/crops/2014am/webprogram/Paper88290.html Last checked: 10/24/2014 |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Sullivan, Dana; McCall, David S. |
| Author Affiliation: | Sullivan: TurfScout, LLC., Greensboro, NC; McCall: Virginia Tech, Blacksburg, VA |
| Title: | Predicting turfgrass root zone temperatures and root length using the ratio vegetation index |
| Section: | C05 Turfgrass Science Other records with the "C05 Turfgrass Science" Section Stress tolerance, diseases, cultural practices, and environment Other records with the "Stress tolerance, diseases, cultural practices, and environment" Section |
| Meeting Info.: | Long Beach, California: November 2-5, 2014 |
| Source: | ASA, CSSA and SSSA Annual Meetings [2014]. 2014, p. 88290. |
| Publishing Information: | [Milwaukee, Wisconsin]: [American Society of Agronomy] |
| # of Pages: | 1 |
| Keywords: | TIC Keywords: Agrostis stolonifera; Golf greens; Ratio Vegetation Index; Root length; Root zone temperature; Spectral reflectance |
| Abstract/Contents: | "Researchers have adopted spectral reflectance indices as viable options for objective turfgrass quality measurements. One challenge that limits the adoption of turfgrass reflectance as a management tool is an inability to relate reflectance patterns to measureable turfgrass attributes. The objective of the current study was to demonstrate the utility of using the near-infrared index to predict relative root zone temperatures and root length at unsampled locations on in-play golf course greens. The study was located at Willow Oaks Country Club in Richmond, Va on 'Penn A1/A4' creeping bentgrass putting greens. Ground truth samples of root zone temperatures and root length were collected on three greens along three 21 m arcs in 3 m increments and marked using an OmniStar corrected GPS. Reflectance data were collected using a Holland Scientific ACS470 in the red (670nm) red-edge (730nm) and near-infrared NIR (760nm). Reflectance data were transformed using the ratio vegetation index (RVI: NIR/Red), and then individual bands as well as the RVI were correlated with root zone temperatures and root length. For each green a random subset of ground truth samples were retained for accuracy assessments. Preliminary results indicate a strong negative correlation exists between RVI and root zone temperatures (r = -0.91- -0.93) and moderate relationship exists between RVI and root length (r = 0.58 - 0.62). Regression results explained from 59-86% of the variability in root zone temperatures and approximately 34% of the variability in rooting depth. Results were used to create surface maps of root length and root zone temperatures for entire greens with a minimum of 15 ground truth samples collected per green." |
| Language: | English |
| References: | 0 |
| Note: | This item is an abstract only! "Poster Number 623" "399-26" |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Sullivan, D., and D. S. McCall. 2014. Predicting turfgrass root zone temperatures and root length using the ratio vegetation index. Agron. Abr. p. 88290. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/250111 |
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| Web URL(s) : | https://scisoc.confex.com/crops/2014am/webprogram/Paper88290.html Last checked: 10/24/2014 |
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