Web URL(s): http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=251 Last checked: 05/02/2019 Requires: PDF Reader Notes: Item is within a single large file
Publication Type:
i
Report
Author(s): Wherley, Benjamin ;
Mclnnes, Kevin ;
Hejl, Reagan
Author Affiliation: Texas A&M University, College Station, TX
Title: Data-driven irrigation scheduling techniques for managing sand-capped fairways
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. 243-247.
# of Pages: 5
Publishing Information: [New York, New York]: The United States Golf Association Green Section
Keywords: TIC Keywords: Best management practices ; Golf fairways ; Irrigation practices ; Irrigation scheduling ; Sand capping
Language: English
References: 0
See Also: Other Reports from this USGA research project: 2018-05-655
Note: Pictures, color Graphs
USGA Summary Points: A 10,000 sq. ft. replicated sand-capping irrigation research facility has been constructed at Texas A&M University, College Station, TX. In August 2018, Latitude 36 bermudagrass was sprig-established onto a 5" sand-cap across the facility. Full coverage was achieved by mid-October. Various approaches to irrigation will be implemented in May 2019 and evaluated over two seasons, including wireless soil moisture sensor-based, reference ETo-based, NOAA FRET-based, and visual wilt-based irrigation.
ASA/CSSA/SSSA Citation (Crop Science -Like - may be incomplete ): Wherley, B., K. Mclnnes, and R. Hejl. 2018. Data-driven irrigation scheduling techniques for managing sand-capped fairways. USGA Turfgrass Environ. Res. Summ. p. 243-247.
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Web URL(s): http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=251 Last checked: 05/02/2019 Requires: PDF Reader Notes: Item is within a single large file
MSU catalog number: b3609415
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