Full TGIF Record # 310844
Item 1 of 1
Web URL(s):https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=155
    Last checked: 04/17/2020
    Requires: PDF Reader
    Notes: Item is within a single large file
Publication Type:
i
Report
Author(s):Kreuser, William C.
Author Affiliation:University of Nebraska-Lincoln
Title:Growing degree day models to guide PGR application rates
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: 2019 Research Summaries. 2019, p. 147-149.
# of Pages:3
Publishing Information:[New York, New York]: The United States Golf Association Green Section
Language:English
References:0
See Also:Other Reports from this USGA research project: 2018-09-659
Note:Pictures, color
Graphs
USGA Summary Points:Developed PGR GDD models for three cultivars of ultradwarf bermudagrass putting greens in NC, MS and TN with our collaborators. Peak suppression for prohexadione-calcium ranged from 50-45% with ideal re-application intervals of 120-160 GDD (base 10C). Peak suppression ranged from 49-62% with re-application intervals ranging from 216-300 GDD (base 10C) for trinexapac-ethyl. Warm-season results were published in Crop Science. Results have been added to GreenKeeper App. Developed PGR GDD models for paclobutrazol applications on creeping bentgrass putting greens. Clipping yield suppression ranged from 29-62% of the non-treated control depending on application rate. The ideal re-application interval ranged from 269-302 (base 0C) and model R2 values ranged from 0.41 to 0.86. Results have been added to GreenKeeper App. "Flipped" PGR models were tested to estimate the amount of PGR remaining in the plant when the PGRs were applied prior to their ideal re-application interval. A half-life approach model was used to schedule PGR application rate. The models tested resulted in an intensification of clipping yield suppression and increase phytotoxicity overtime. This indicates the models were too aggressive. A different PGR degradation model will be evaluated in 2020.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kreuser, W. C. 2019. Growing degree day models to guide PGR application rates. USGA Turfgrass Environ. Res. Summ. p. 147-149.
Fastlink to access this record outside TGIF: https://tic.lib.msu.edu/tgif/flink?recno=310844
If there are problems with this record, send us feedback about record 310844.
Choices for finding the above item:
Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=155
    Last checked: 04/17/2020
    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)