Full TGIF Record # 313738
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=232
    Last checked: 08/05/2021
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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: 2020 Research Summaries. 2020, p. 224-230.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:7
See Also:Other Reports from this USGA research project: 2018-05-655
Note:Pictures, color
USGA Summary Points:Results from 2020 support those of 2019 in that National Oceanic and Atmospheric Administration forecasted reference evapotranspiration (NOAA FRET) was a reliable predictor of onsite weather station Penman-Monteith reference evapotranspiration (ETo). Similar to 2019, all irrigation scheduling treatments were able to maintain turf quality above acceptable thresholds throughout the 2020 season. No significant differences between irrigation scheduling treatments were observed for seasonal water use in 2020. No significant differences were detected for root development within the sand-cap or subsoil due to irrigation scheduling technique.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
2020. Data-driven irrigation scheduling techniques for managing sand-capped fairways. USGA Turfgrass Environ. Res. Summ. p. 224-230.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=313738
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    Last checked: 08/05/2021
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MSU catalog number: b3609415
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