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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=149
Last checked: 04/17/2020
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | Soldat, Doug |
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| Author Affiliation: | University of Wisconsin-Madison |
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| Title: | Building a better growth model to optimize nitrogen applications to bentgrass putting greens |
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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: 2019 Research Summaries. 2019, p. 141-144. |
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| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
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| # of Pages: | 4 |
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| Keywords: | TIC Keywords: Agrostis; Decision-making; Golf greens; Models; Nitrogen application; Soil moisture; Traffic damage; Weather patterns
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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: 2019-10-680 |
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| Note: | Figures
Tables
Graphs |
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| USGA Summary Points: | Bentgrass growth rate is negatively correlated to soil moisture on sand root zones. Bentgrass growth rate is negatively correlated to traffic level, but across the range of typical traffic levels, this factor is not as significant as others. Annual bentgrass growth on sand greens with different soil organic matter levels varies substantially. Management practices and weather both play highly significant roles in controlling bentgrass growth. A machine learning approach to accurately predict bentgrass growth appears feasible. |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Soldat, D. 2019. Building a better growth model to optimize nitrogen applications to bentgrass putting greens. USGA Turfgrass Environ. Res. Summ. p. 141-144. |
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| Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=149
Last checked: 04/17/2020
Requires: PDF Reader
Notes: Item is within a single large file |
| 
MSU catalog number: b3609415 |
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