Full TGIF Record # 317177
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Web URL(s):https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Paper/135264
    Last checked: 04/01/2022
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Publication Type:
Content Type:Abstract or Summary only
Author(s):Roberson, Travis L.; McCall, David S.; Henderson, Caleb A.; Baldwin, Christian M.
Author Affiliation:Roberson: Plant Pathology, Physiology, and Weed Science, Virginia Tech, Richmond, VA; McCall and Henderson: School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA; Baldwin: Scotts Co., The, Marysville, OH
Title:Detecting moisture stress of Kentucky bluegrass subjected to deficit irrigation using aerial imagery
Section:Turfgrass science poster
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C05 turfgrass science
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Meeting Info.:Salt Lake City, Utah: November 7-10, 2021
Source:ASA, CSSA and SSSA International Annual Meetings. 2021, p. 135264.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"Efficient water use across turfgrass systems is a global industry priority, as evidenced by the increased focus for improved methods by the United States Golf Association, the Golf Course Superintendents Association of America, and other influential organizations. Previous researchers have demonstrated the use of canopy spectral reflectance as a viable option for estimating soil moisture stress of various turfgrasses. The water band index (WBI) and green to red ratio index (GRI) have consistently estimated soil moisture stress of creeping bentgrass, hybrid bermudagrass, and tall fescue. The GRI is calculated with visible light spectra, making it a potentially cost-effective option for rapid estimation using aerial imagery. However, previous reports have been limited to ground-based measurements with a handheld radiometer. The objective of this study was to examine the relationship between aerial image analysis with ground-based reflectance measurements for scalability across larger turfgrass canopies. A dry-down study was conducted on mature Kentucky bluegrass in Marysville OH, with seven evapotranspiration-based deficit irrigation treatments organized in a randomized complete block design. Aerial images were compared against ground-based measurements of canopy reflectance, soil volumetric water content, and visual estimates of wilt symptoms, using Pearson's correlation. Aerial GRI was highly correlated with all ground-validation measurements (r=0.76, P<0.0001) and was most closely related to soil volumetric water content (r=0.92) and visual wilt symptoms (r=-0.90), providing evidence that aerial imagery may be a better estimator of soil moisture stress than previously reported ground-based canopy reflectance. These data provide evidence that aerial image analysis of visible light can be a viable option for rapid drought stress assessments across turfgrass systems."
Note:This item is an abstract only!
"Poster # 1169"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Roberson, T. L., D. S. McCall, C. A. Henderson, and C. M. Baldwin. 2021. Detecting moisture stress of Kentucky bluegrass subjected to deficit irrigation using aerial imagery. Agron. Abr. p. 135264.
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    Last checked: 04/01/2022
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