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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=156
Last checked: 08/05/2021
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | Kreuser, Bill |
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| Author Affiliation: | Ph.D. and University of Nebraska-Lincoln |
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| Title: | Mining GreenKeeper app data to quantify the impact of turf research |
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| 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: 2020 Research Summaries. 2020, p. 148-149. |
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| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
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| # of Pages: | 2 |
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| Language: | English |
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| References: | 0 |
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| See Also: | Other Reports from this USGA research project: 2019-30-700 |
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| Note: | Pictures, color |
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| 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. |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
2020. Mining GreenKeeper app data to quantify the impact of turf research. USGA Turfgrass Environ. Res. Summ. p. 148-149. |
| Fastlink to access this record outside TGIF: https://tic.lib.msu.edu/tgif/flink?recno=313734 |
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| Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=156
Last checked: 08/05/2021
Requires: PDF Reader
Notes: Item is within a single large file |
| 
MSU catalog number: b3609415 |
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