Full TGIF Record # 310843
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=153
    Last checked: 04/17/2020
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Publication Type:
Author(s):Kreuser, William C.
Author Affiliation:University of Nebraska-Lincoln
Title:Modeling GA production improves prediction of turf growth and PGR performance
Section:Integrated turfgrass management
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Ecophysiology: Light and temperature
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Source:Turfgrass and Environmental Research Program: 2019 Research Summaries. 2019, p. 145-146.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:2
Keywords:TIC Keywords: Gibberellins; Growth factors; Models; Performance factors; Plant growth regulators
See Also:Other Reports from this USGA research project: 2017-15-625
USGA Summary Points:Clipping yield as a proxy for GA production is being used to determine the peak growth and GA production of four cool-season (creeping bentgrass, Kentucky bluegrass, perennial ryegrass and tall fescue) and two cool season (buffalograss and zoysiagrass) turfgrasses. Preliminary results have determined that peak clipping yield, as thus GA production for Kentucky bluegrass and creeping bentgrass was found at 77 F, whereas peak GA production of perennial ryegrass was recorded at 70 F. This research is currently ongoing.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kreuser, W. C. 2019. Modeling GA production improves prediction of turf growth and PGR performance. USGA Turfgrass Environ. Res. Summ. p. 145-146.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=310843
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    Last checked: 04/17/2020
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    Notes: Item is within a single large file
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MSU catalog number: b3609415
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