Full TGIF Record # 315275
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Web URL(s):https://scisoc.confex.com/scisoc/2020am/meetingapp.cgi/Paper/125046
    Last checked: 03/25/2021
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Publication Type:
Content Type:Abstract or Summary only
Author(s):Rockstad, Greta; Austin, Robert; Yu, Xingwang; Carbajal, Esdras M.; Dunne, Jeffrey C.; Miller, Grady L.; Jespersen, David; Milla-Lewis, Susana R.
Author Affiliation:Rockstad, Austin, Yu, Carbajal, Dunne, Miller, and Milla-Lewis: Crop and Soil Sciences, North Carolina State University, Raleigh, NC; Jespersen: Crop and Soil Sciences, University of Georgia-Griffin, Griffin, GA
Title:Evaluation of UAV-based imagery for drought stress traits in St. Augustinegrass
Section:Turf physiology, molecular biology, and genetics poster (includes student presentation)
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C05 Turfgrass Science
Other records with the "C05 Turfgrass Science" Section
Meeting Info.:San Antonio, Texas: November 10-13, 2019
Source:ASA, CSSA and SSSA International Annual Meetings. November 9-13 2020, p. [1].
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"Most turfgrass traits are rated using a visual scale; however, traits like percent green cover can be collected more quantitatively using imagery analysis, typically by moving a box with a camera and uniform lighting from plot to plot, offering standardization but at the cost of significant effort. Unmanned aerial vehicle (UAV) imagery at low altitudes may offer a quicker, higher-temporal resolution alternative, in addition to being able to simultaneously measure other traits that are commonly collected on the ground like normalized difference vegetation index (NDVI). There have been efforts to incorporate UAV imagery into turfgrass ratings, but none have focused on wider-bladed turfgrasses like St. Augustinegrass, a warm-season turfgrass commonly grown in the southeastern US known for its weed suppression and shade tolerance. In this study, UAV imagery was used alongside ground data to measure percent green cover and NDVI on a plot-level basis in a segregating "pseudo" F2 population of Raleigh x Seville St. Augustinegrass at two field sites in North Carolina. Traits were measured prior to withholding irrigation, every three days during the dry period, and once a week during recovery. Correlation analysis showed strong agreement between measurements collected on the ground and in the air. These findings will be followed up with a second year of data collection and analysis in 2021, and the traits will be used to map quantitative trait loci to ultimately guide marker-assisted selection for drought resistance in St. Augustinegrass."
Note:This item is an abstract only!
Drone images
Pictures, color
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Rockstad, G., R. Austin, X. Yu, E. M. Carbajal, J. C. Dunne, G. L. Miller, et al. 2020. Evaluation of UAV-based imagery for drought stress traits in St. Augustinegrass. Agron. Abr. p. [1].
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    Last checked: 03/25/2021
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