Web URL(s): http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=256 Last checked: 05/02/2019 Requires: PDF Reader Notes: Item is within a single large file
Publication Type:
i
Report
Author(s): Haghverdi, Amir
Author Affiliation: Department of Environmental Sciences, University of California Riverside
Title: Enhancing site-specific turf irrigation management and developing turf deficit irrigation strategies using soil moisture sensors, smart ET-based irrigation controllers, and remote sensing
Section: Integrated turfgrass managementOther records with the "Integrated turfgrass management" Section Ecophysiology: WaterOther records with the "Ecophysiology: Water" Section
Source: Turfgrass and Environmental Research Program: 2018 Research Summaries . 2018, p. 248-2536.
# of Pages: 6
Publishing Information: [New York, New York]: The United States Golf Association Green Section
Keywords: TIC Keywords: Deficit irrigation ; Evapotranspiration-based irrigation ; Irrigation controllers ; Remote sensing ; Site-specific management ; Soil moisture sensors
Language: English
References: 0
See Also: Other Reports from this USGA research project: 2018-06-656
Note: Pictures, color Tables Graphs
USGA Summary Points: Two warm season and cool season turfgrass species including tall fescue (Festuca arundinacea ), and bermudagrass (Cynodon dactylon ) were studied from May 1 to September 24 at UCR Agricultural Experiment Station in inland Southern California. Only 2% difference was observed on average between autonomous irrigation applicators by Weathermatic smart irrigation controller and optimum irrigation applications calculated based on ETref data collected from a nearby CIMIS weather station. The preliminary results suggest 10% water saving potential for both species compared to currently considered full irrigation applications (i.e. 80% and 60% for cool season and warm season turf).
ASA/CSSA/SSSA Citation (Crop Science -Like - may be incomplete ): Haghverdi, A. 2018. Enhancing site-specific turf irrigation management and developing turf deficit irrigation strategies using soil moisture sensors, smart ET-based irrigation controllers, and remote sensing. USGA Turfgrass Environ. Res. Summ. p. 248-2536.
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Web URL(s): http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=256 Last checked: 05/02/2019 Requires: PDF Reader Notes: Item is within a single large file
MSU catalog number: b3609415
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