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| Web URL(s): | https://scisoc.confex.com/scisoc/2018am/meetingapp.cgi/Paper/112103
Last checked: 11/15/2018
Requires: JavaScript |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Roberson, Travis L.;
Zhang, Chenxi;
McCall, David S.;
Stewart, Ryan;
Lester, Brandon;
Askew, Shawn D. |
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| Author Affiliation: | Roberson and Askew: Plant Pathology, Physiology, and Weed Science, Virginia Tech, Blacksburg, VA; Zhang: Bayer CropScience, Clayton, NC; McCall: School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA; Stewart and Lester: Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA |
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| Title: | Spectral properties of soils that influence turf canopy reflectance |
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| Section: | C05 turfgrass science
Other records with the "C05 turfgrass science" Section
Turfgrass management and ecology poster (Includes student competition)
Other records with the "Turfgrass management and ecology poster (Includes student competition)" Section
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| Meeting Info.: | Baltimore, Maryland: November 4-7, 2018 |
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| Source: | ASA, CSSA and SSSA International Annual Meetings. 2018, p. 112103. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Canadian Society of Agronomy] |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Canopy reflectance; Physical soil analysis; Soil types; Spectral analysis; Spectral reflectance
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| Abstract/Contents: | "Spectral reflectance measurement of turfgrass systems has become increasingly common to assess canopy health and detect various stresses. The water band index (WBI=R900/R970) is a unique tool for estimating drought stress rapidly and objectively. However, underlying soil spectral properties may influence turf canopy reflectance and limit WBI practicality. The underlying soil structure is often inconsistent across large-acreage turfgrass systems. Therefore, our research objective was to explore the spectral characteristics of three soils (USGA 90:10 sand, sandy loam, and clay) commonly associated with turfgrass systems and how they interact with creeping bentgrass and hybrid bermudagrass. We compared WBI of oven-dried soils to saturated soils in the absence of turfgrass canopies under laboratory settings. Soils were loosely packed into 100 x 15mm petri dishes and arranged into a 3 x 2 factorial design with four replications. The WBI was derived using data collected in darkness with a field radiometer equipped with a 2.5 cm contact probe and internal light source. Analysis of variance indicated significant differences in WBI for soil type, soil moisture, and their interaction (P≤0.014). The highest WBI values were observed in both saturated and clay soils. In a separate study, continuous measurement of soil moisture and canopy reflectance were collected under greenhouse conditions examining the relationship of WBI to soil type over time. We explained these data using the non-linear four-parameter regression model (r≥0.79). WBI values for the upper and lower asymptotes were used as representatives of well-watered and drought-stressed turfgrass canopies, respectively. There was a significant species interaction (P≤0.004) for each asymptote, but soil type and soil type x species were insignificant (P≥0.15). Turf canopy coverage is more influential to WBI than underlying soil texture when assessing drought stress. However, soil textures may impact reflectance measurements when sub-optimal canopy density is present." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
"Poster Number: 1269" |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Roberson, T. L., C. Zhang, D. S. McCall, R. Stewart, B. Lester, and S. D. Askew. 2018. Spectral properties of soils that influence turf canopy reflectance. Agron. Abr. p. 112103. |
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| Web URL(s):
https://scisoc.confex.com/scisoc/2018am/meetingapp.cgi/Paper/112103
Last checked: 11/15/2018
Requires: JavaScript |
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