Full TGIF Record # 310858
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=248
    Last checked: 04/23/2020
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Author(s):Wherley, Benjamin; Hejl, Reagan; McInnes, Kevin; Grubbs, B.
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: 2019 Research Summaries. 2019, p. 240-246.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:7
Keywords:TIC Keywords: Best management practices; Golf fairways; Irrigation scheduling; Sand capping; Soil moisture sensors; Wilt-based irrigation
See Also:Other Reports from this USGA research project: 2018-05-655
Note:Pictures, color
USGA Summary Points:Year 1 results indicate National Oceanic and Atmospheric Administration forecasted reference evapotranspiration (NOAA FRET) is a reliable predictor of actual reference evapotranspiration (ETo). There was a trend towards greater water use with SMS and wilt-based irrigation scheduling in comparison to the ET based scheduling approaches, which could be a function of the approach taken to determine irrigation amount. Wilt-based soil moisture thresholds appear to be higher during mid-summer and lower during early-summer and fall, suggesting that different thresholds might need to be used at different times of the year when using SMS-based irrigation scheduling.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Wherley, B., R. Hejl, K. McInnes, and B. Grubbs. 2019. Data-driven irrigation scheduling techniques for managing sand-capped fairways. USGA Turfgrass Environ. Res. Summ. p. 240-246.
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    Last checked: 04/23/2020
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