Full TGIF Record # 317396
Item 1 of 1
Web URL(s):https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=174
    Last checked: 04/12/2022
    Requires: PDF Reader
    Notes: Item is within a single large file
Publication Type:
i
Report
Author(s):Gaussoin, Roch; Carlson, Michael
Author Affiliation:University of Nebraska-Lincoln
Title:Advancing precision turfgrass management
Section:Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section

Ecophysiology: Soil problems
Other records with the "Ecophysiology: Soil problems" Section
Source:Mike Davis Program for Advancing Golf Course Management: 2021 Progress Reports. 2021, p. 167-172.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:6
Language:English
References:0
See Also:Other Reports from this USGA research project: 2019-30-700
Note:Previously titled: "Mining GreenKeeper app data to quantify the impact of turf research"
Pictures, color
Graphs
USGA Summary Points:The relationship among visual quality, growth rate, and NDRE of creeping bentgrass is linear and varies throughout the year. Guided machine learning will be used to create a decision support system tool to determine the rate of nitrogen fertilizer needed to meet visual quality and growth rate goals. Spatial variability of creeping bentgrass fairways were quantified throughout the summer from reflectance measurements to create site-specific management units for precision nutrient management. Variable rate nitrogen fertilizer application based on reflectance thresholds were demonstrated on a working golf course in Lincoln, NE. The NDVI variable rate application reduced variability and nitrogen applied by 30% compared to a constant and NDRE variable rate application methods. Further research is needed to validate the nitrogen fertilizer decision support system and to integrate the models into a user-friendly software for use by golf course superintendents.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Gaussoin, R., and M. Carlson. 2021. Advancing precision turfgrass management. USGA Turfgrass Environ. Res. Summ. p. 167-172.
Fastlink to access this record outside TGIF: https://tic.lib.msu.edu/tgif/flink?recno=317396
If there are problems with this record, send us feedback about record 317396.
Choices for finding the above item:
Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=174
    Last checked: 04/12/2022
    Requires: PDF Reader
    Notes: Item is within a single large file
Find Item @ MSU
MSU catalog number: b3609415
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)