Full TGIF Record # 305007
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Web URL(s):http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=251
    Last checked: 05/02/2019
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Publication Type:
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 management
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Ecophysiology: Water
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Source:Turfgrass and Environmental Research Program: 2018 Research Summaries. 2018, p. 243-247.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:5
Keywords:TIC Keywords: Best management practices; Golf fairways; Irrigation practices; Irrigation scheduling; Sand capping
See Also:Other Reports from this USGA research project: 2018-05-655
Note:Pictures, color
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.
Fastlink to access this record outside TGIF: https://tic.lib.msu.edu/tgif/flink?recno=305007
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    Last checked: 05/02/2019
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    Notes: Item is within a single large file
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MSU catalog number: b3609415
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