Full TGIF Record # 250111
Item 1 of 1
Web URL(s):https://scisoc.confex.com/crops/2014am/webprogram/Paper88290.html
    Last checked: 10/24/2014
Publication Type:
i
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.
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    Last checked: 10/24/2014
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