Full TGIF Record # 328699
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2022/2022.pdf#page=150
    Last checked: 06/08/2023
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    Notes: Item is within a single large file
Publication Type:
i
Report
Author(s):Watkins, Eric; Runck, Bryan
Author Affiliation:University of Minnesota
Title:Environmental sensors for golf course greens to improve knowledge and management of winter stresses in cold climates
Section:Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section

Ecophysiology: Light and temperature
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Source:Mike Davis Program for Advancing Golf Course Management: 2022 Progress Reports. 2022, p. 143-146.
Publishing Information:Liberty Corner, New Jersey: The United States Golf Association Green Section
# of Pages:4
Language:English
References:0
See Also:Other Reports from this USGA research project: 2021-14-738
Note:Pictures, color
USGA Summary Points:Winter stresses are complex and more knowledge is needed to inform management recommendations and plant improvement efforts. On-site environmental sensors can provide streams of useful data that can be used to develop winter injury prediction models. Golf course superintendents are collecting weekly data that will be used in concert with weather data and satellite imagery to learn more about winter stress injury risk Funding from the USGA, combined with other sources, resulted in over 70 sensor nodes deployed on golf courses worldwide in fall 2022.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Watkins, E., and B. Runck. 2022. Environmental sensors for golf course greens to improve knowledge and management of winter stresses in cold climates. USGA Turfgrass Environ. Res. Summ. p. 143-146.
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Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2022/2022.pdf#page=150
    Last checked: 06/08/2023
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: b3609415
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