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| Web URL(s): | https://conference.ifas.ufl.edu/iftbc2019/documents/IFTBC-2019-Online-Abstract-Book.pdf#page=83
Last checked: 04/04/2024
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | McCall, D. S.;
Roberson, T. L. |
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| Author Affiliation: | McCall: Assistant Professor, Turfgrass Pathology and School of Plant & Environmental Sciences, Virginia Ttech, Blacksburg, VA; Roberson: School of Plant & Environmental Sciences, Virginia Tech, Blacksburg, VA |
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| Title: | Rapid detection of drought stress using field radiometry for high throughput screening |
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| Meeting Info.: | Lake Buena Vista, Florida: March 24-27, 2019 |
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| Source: | International Forage & Turf Breeding Conference. 2019, p. 83. |
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| Publishing Information: | Gainesville, Florida: UF/IFAS Office of Conferences & Institutes |
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| # of Pages: | 1 |
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| Abstract/Contents: | "The time associated with assessing breeding lines through traditional methods serve as a bottleneck in the selection process. Improved objective measurement of spectral properties can accelerate the screening process and lead to faster selection of improved varieties. Our research objective was to compare vegetation indices (VI) associated with drought stress across soil types and turfgrass species. Treatments were arranged in a 3 x 2 factorial design across six replications under greenhouse conditions. '007' creeping bentgrass (CBG) and 'Latitude 36' hybrid bermudagrass (HB) were grown on 90:10 USGA-specified sand, sandy loam, and clay. All treatments were watered beyond field capacity and allowed to drain for four hours. Volumetric water content, spectral reflectance with a field radiometer, visual assessment of turf quality, and visual estimation of wilt were collected hourly between 0700 and 1900 from initiation until two days after the last plot reached complete wilt. Data were modeled using non-linear regression with parameters compared across soil type and grass species. Effects tests indicated differences in both grass species and soil type. Parameter shifts indicative of drought stress in CBG occurred earlier than HB, regardless of VI or soil type. Turf grown in sand maintained vigor longer than in sandy loam or clay soils. However, all VI examined were negatively correlated (r ā„ -0.67) with visual wilt regardless of soil type or grass species, with the Water Band Index (WBI=R900/R970) being most closely related (r = -0.85). Index values were plotted over time and fitted using the 4-parameter logistic model. Inverse prediction of VI inflection points indicates that the WBI and the green/red ratio (GRI) were more sensitive to drought stress than the commonly used NDVI. However, the practical application of screening for drought stress using GRI is limited because of phenotypic variability across breeding lines. Unlike GRI and NDVI, WBI is unrelated to visual characteristics. Our data suggest that the WBI could be a useful tool to fast-track turf and forage breeding across grass species and soil variability." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
McCall, D. S., and T. L. Roberson. 2019. Rapid detection of drought stress using field radiometry for high throughput screening. International Forage & Turf Breeding Conference. p. 83. |
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| Web URL(s):
https://conference.ifas.ufl.edu/iftbc2019/documents/IFTBC-2019-Online-Abstract-Book.pdf#page=83
Last checked: 04/04/2024
Requires: PDF Reader
Notes: Item is within a single large file |
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