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| Web URL(s): | https://scisoc.confex.com/scisoc/2018am/meetingapp.cgi/Paper/113767
Last checked: 11/20/2018
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): | Reiter, Maggie;
Pourreza, Alireza;
Zuniga-Ramirez, German;
Haghverdi, Amir |
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| Author Affiliation: | Reiter: University of California Cooperative Extension, Fresno, CA; Pourreza: University of California-Davis, Davis, CA; Zuniga-Ramirez: University of California Davis, Parlier, CA; Haghverdi: University of California Riverside, Riverside, CA |
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| Title: | Multispectral and thermal remote sensing of turfgrass response to deficit irrigation in central California |
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| Section: | C05 turfgrass science
Other records with the "C05 turfgrass science" Section
Turfgrass science - II poster
Other records with the "Turfgrass science - II poster" 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. 113767. |
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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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| Abstract/Contents: | "Bermudagrass (Cynodon dactylon) and tall fescue (Lolium arundinacea) turfgrass lawns are a large component of California urban landscapes. Recent advancements in imaging using ground-based devices may provide the opportunity for widespread adoption of remote-sensing techniques for urban irrigation management. The objectives of this experiment were to quantify the impact of different deficit irrigation regimes on turf health and quality, and monitor turf response to multiple levels of drought conditions using handheld sensors. Field plots were established July 2017 in Fresno, California. Turf species (tall fescue or bermudagrass) were the whole-plot treatment factor and irrigation rate and time were arranged in a two-way factorial in sub plots. Deficit irrigation treatments began on 1 May 2018 and continued to 1 September 2018. Tall fescue was irrigated at 50, 65, or 80% reference evapotranspiration (ET0) on 2 or 3 days/week. Bermudagrass was irrigated at 40, 50, or 60% reference ET on 2 or 3 days/week. Remote sensing data were collected regularly throughout the growing season to derive Normalized difference vegetation index (NDVI), percent green cover with digital image analysis (DIA), canopy temperature, air temperature, and humidity. Visual turf quality ratings were also collected. Data were analyzed to examine treatment effects on turfgrass health and correlation strengths among remote sensing strategies. Bermudagrass irrigated at 60% ET0 provided acceptable turfgrass quality with the lowest reference ET0. Handheld NDVI and percent green were strongly correlated with visual turf quality ratings and could be used as a quantitative method for measuring turf health in response to drought stress. Handheld air temperature data did not correlate to NDVI, percent green, or visual ratings, and was not a useful metric for measuring turfgrass health in this experiment." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
"332"
"Poster Number: 1243" |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Reiter, M., A. Pourreza, G. Zuniga-Ramirez, and A. Haghverdi. 2018. Multispectral and thermal remote sensing of turfgrass response to deficit irrigation in central California. Agron. Abr. p. 113767. |
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Last checked: 11/20/2018
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