Full TGIF Record # 317393
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Web URL(s):https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=100
    Last checked: 04/12/2022
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Publication Type:
i
Report
Author(s):Richardson, Michael; Brosnan, James; Patton, Aaron
Author Affiliation:Richardson: University of Arkansas; Brosnan: University of Tennessee; Patton: Purdue University
Title:Shade and water quality effects on efficacy of plant growth regulators
Section:Integrated turfgrass management
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Ecophysiology: Light and temperature
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Source:Mike Davis Program for Advancing Golf Course Management: 2021 Progress Reports. 2021, p. 93-97.
Publishing Information:[New York, New York]: The United States Golf Association Green Section
# of Pages:5
Language:English
References:6
See Also:Other Reports from this USGA research project: 2021-07-731
Note:Pictures, color
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USGA Summary Points:Plant growth regulators (PGR) are commonly used on putting green turf to enhance performance to reduce the overall growth of the turf. In recent years, the application timing strategy has moved towards a growing-degree based model compared to calendar-based applications. PGRs have been shown to enhance plant performance in shaded environments, especially on warm-season grasses. A field study was conducted at two locations in 2021 to compared different PGR application timings (calendar vs GDD) under 4 differing shade levels. At both locations, calendar-based applications of Primo Maxx produced higher quality under shaded conditions compared to a GDD application timing. Studies to investigate the effects of water quality on PGR efficacy will be initiated in Year 2 of the study and the shade trials will be repeated in Year 2.
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Richardson, M., J. Brosnan, and A. Patton. 2021. Shade and water quality effects on efficacy of plant growth regulators. USGA Turfgrass Environ. Res. Summ. p. 93-97.
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Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=100
    Last checked: 04/12/2022
    Requires: PDF Reader
    Notes: Item is within a single large file
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