Full TGIF Record # 313718
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=226
    Last checked: 09/02/2021
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Publication Type:
i
Report
Author(s):Dyer, W.; Bremer, D.; Patrignani, A.; Fry, J.; Lavis, C.; Friell, J.
Author Affiliation:Dyer, Bremer, Fry, and Lavis: Dept. of Horticulture and Natural Resources, Kansas State University; Patrignani: Dept. of Agronomy, Kansas State University; Friell: Toro Company
Title:Integrating canopy dynamics, soil moisture, and soil physical properties to improve irrigation scheduling in turfgrass
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. 218-223.
# of Pages:6
Publishing Information:[New York, New York]: The United States Golf Association Green Section
Language:English
References:0
See Also:Other Reports from this USGA research project: 2017-38-648
Note:Figures
Graphs
USGA Summary Points:Utilizing a decision tree for our decision-making process was an effective way to regulate irrigation scheduling. Soil moisture sensor-based irrigation yielded 84% water savings compared to traditional frequency-based irrigation and 72% savings compared to deficit irrigation (60% ET) approaches.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Dyer, W., D. Bremer, A. Patrignani, J. Fry, C. Lavis, and J. Friell. 2020. Integrating canopy dynamics, soil moisture, and soil physical properties to improve irrigation scheduling in turfgrass. USGA Turfgrass Environ. Res. Summ. p. 218-223.
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Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=226
    Last checked: 09/02/2021
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: b3609415
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