| |
| 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 |
|---|
| 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):
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: https://tic.lib.msu.edu/tgif/flink?recno=313727 |
| If there are problems with this record, send us feedback about record 313727. |
| Choices for finding the above item: |
|---|
| 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 |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
