Full TGIF Record # 304985
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Web URL(s):http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=146
    Last checked: 05/02/2019
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Publication Type:
Author(s):Kreuser, William C.
Author Affiliation:University of Nebraska-Lincoln
Title:Modeling gibberellin (GA) production improves prediction of turf growth and PGR performance
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. 138-140.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:3
Keywords:TIC Keywords: Clipping weight; Gibberellins; Growth factors; Growth regulator evaluation; Plant growth regulators
See Also:Other Reports from this USGA research project: 2017-15-625
USGA Summary Points:Clipping yield response was highly correlated to GA production within the turfgrass leaves. Nitrogen fertilizer rate and air temperature strongly influenced clipping yield and GA production in perennial ryegrass (PRYE), Kentucky bluegrass (KBG) and creeping bentgrass (CBG). From the greenhouse experiment, peak clipping yield responsiveness to nitrogen occurred when mean daily air temperature was 15C for PRYE, 22C for KBG and 25C for CBG. The ideal air temperatures for CBG were greater than expected for cool-season grasses. It isnt clear how carbon assimilation dynamics mirrored growth responsive. Application of PGRs on putting green intervals to collar height CBG lead to >80% clipping yield suppression, despite the low-labeled application rates. This lead to decreased turfgrass quality and increased phytotoxicity. We hypothesize this is a leading cause of golf course collar decline. Manipulating GA presence with exogenous GA application or through increased GA production with increased nitrogen fertilizer and reduced mowing height (0.4" to 0.3") rescued PGR over-regulation. Exogenous GA applications needed to be made curatively while reduced mowing height and increased nitrogen fertilization needed to be started preventatively.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kreuser, W. C. 2018. Modeling gibberellin (GA) production improves prediction of turf growth and PGR performance. USGA Turfgrass Environ. Res. Summ. p. 138-140.
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    Last checked: 05/02/2019
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