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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Publication Type:
i
Report
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
Language:English
References:0
See Also:Other Reports from this USGA research project: 2018-05-655
Note:Pictures, color
Graphs
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.
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Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=232
    Last checked: 08/05/2021
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: b3609415
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