Fastlink to record 313727
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| Full TGIF Record # 313727 Item 1 of 1 |
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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=111 Last checked: 08/05/2021 Requires: PDF Reader Notes: Item is within a single large file |
| Publication Type: | Report |
| Author(s): | Soldat, Doug |
| Author Affiliation: | University of Wisconsin - Madison |
| Title: | Building a better growth model to optimize nitrogen applications to bentgrass putting greens |
| 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 |
| Source: | Turfgrass and Environmental Research Program: 2020 Research Summaries. 2020, p. 103-106. |
| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
| # of Pages: | 4 |
| Keywords: | TIC Keywords: Agrostis stolonifera; Chemical properties of soil; Clipping weight; Correlation; Golf green maintenance; Growth rate; Models; Nitrogen fertilization; Nitrogen mineralization; Soil moisture; Turfgrass quality |
| Language: | English |
| References: | 0 |
| See Also: | Other Reports from this USGA research project: 2019-10-680 |
| Note: | Graphs |
| USGA Summary Points: | Temperature, relative humidity and evapotranspiration are key weather factors determining bentgrass growth Foot traffic, nitrogen rate and soil moisture are weakly correlated with bentgrass growth. However, model accuracy substantially increased when these variables were included. Potentially mineralizable nitrogen in the top 5 cm of soil was positively correlated with bentgrass clipping production. A data-driven statistical model using the random forest machine learning algorithm can accurately predict bentgrass yield. However, the model was only effective for the location where the model was built, suggesting that individual golf courses should build a customized growth prediction models to manage nitrogen adaptively. |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Soldat, D. 2020. Building a better growth model to optimize nitrogen applications to bentgrass putting greens. USGA Turfgrass Environ. Res. Summ. p. 103-106. |
| Fastlink to access this record outside TGIF: | http://tic.lib.msu.edu/tgif/flink/RECNO/313727 |
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| Web URL(s) : | https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=111 Last checked: 08/05/2021 Requires: PDF Reader Notes: Item is within a single large file |
| MSU catalog number: | b3609415 |
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