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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 |
Publication Type:
| 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 Other records with the "Ecophysiology: Light and temperature" Section
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Source: | Turfgrass and Environmental Research Program: 2019 Research Summaries. 2019, p. 150-152. |
Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
# of Pages: | 3 |
Keywords: | TIC Keywords: Agrostis stolonifera; Cellular phone applications; Databases; Golf greens; Models; Plant growth regulators
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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 |
|  MSU catalog number: b3609415 |
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