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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 |
Publication Type:
| 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 management Other records with the "Integrated turfgrass management" Section
Ecophysiology: Water Other records with the "Ecophysiology: Water" Section
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Source: | Turfgrass and Environmental Research Program: 2018 Research Summaries. 2018, p. 248-2536. |
Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
# of Pages: | 6 |
Keywords: | TIC Keywords: Deficit irrigation; Evapotranspiration-based irrigation; Irrigation controllers; Remote sensing; Site-specific management; Soil moisture sensors
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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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