Full TGIF Record # 310845
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=158
    Last checked: 04/17/2020
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Publication Type:
i
Report
Author(s):Kreuser, Bill
Author Affiliation:Ph.D. and University of Nebraska-Lincoln
Title:Mining GreenKeeper app data to quantify the impact of turf research
Section:Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section

Ecophysiology: Light and temperature
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Source:Turfgrass and Environmental Research Program: 2019 Research Summaries. 2019, p. 150-152.
# of Pages:3
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: 2019-30-700
Note:Pictures, color
Graphs
USGA Summary Points:Collected data from a creeping bentgrass green treated with various combinations of PGRs validate PGR degradation models generated in USGA grant 2018-09-659. Clipping yield results are still be analyzed and the non-linear regression models are being optimized with a streamlined user interface to increase adoption of new models. Contracting with a web-developer to create the front and back-end changes required to integrate these models into GreenKeeper and assess impact of this USGA funded research project.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kreuser, B. 2019. Mining GreenKeeper app data to quantify the impact of turf research. USGA Turfgrass Environ. Res. Summ. p. 150-152.
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Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=158
    Last checked: 04/17/2020
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: b3609415
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