Full TGIF Record # 304986
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Web URL(s):http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=149
    Last checked: 05/02/2019
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Publication Type:
Author(s):Kreuser, William C.
Author Affiliation:University of Nebraska-Lincoln
Title:Growing degree day models to guide PGR appication rates
Section:Integrated turfgrass management
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Ecophysiology: Temperature
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Source:Turfgrass and Environmental Research Program: 2018 Research Summaries. 2018, p. 141-143.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:3
Keywords:TIC Keywords: Application rates; Clipping weight; Dwarf bermudagrasses; Growing degree days; Growth regulator evaluation; Plant growth regulators
See Also:Other Reports from this USGA research project: 2018-09-659
Note:Pictures, color
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 50-54% with ideal re-application intervals of 120-126 GDD (base 10C). Peak suppression ranged from 49-62% with re-application intervals ranging from 216-230 GDD (base 10C) for trinexapacethyl. 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 to 62% of the non-treated control depending on application rate. The ideal re-application interval ranged from 269 to 302 GDD (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 increased phytotoxicity overtime. This indicates the models were too aggressive. A different PGR degradation model will be evaluated in 2019. PGR metabolomics research will be started in fall of 2019.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kreuser, W. C. 2018. Growing degree day models to guide PGR appication rates. USGA Turfgrass Environ. Res. Summ. p. 141-143.
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    Last checked: 05/02/2019
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MSU catalog number: b3609415
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