Full TGIF Record # 250111
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Web URL(s):https://scisoc.confex.com/crops/2014am/webprogram/Paper88290.html
    Last checked: 10/24/2014
Publication Type:
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
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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."
Note:This item is an abstract only!
"Poster Number 623"
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.
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    Last checked: 10/24/2014
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