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Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=153 Last checked: 04/17/2020 Requires: PDF Reader Notes: Item is within a single large file |
Publication Type:
| Report |
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 Other records with the "Integrated turfgrass management" Section
Ecophysiology: Light and temperature Other records with the "Ecophysiology: Light and temperature" Section
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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
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Language: | English |
References: | 0 |
See Also: | Other Reports from this USGA research project: 2017-15-625 |
Note: | Graphs |
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. |
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| Web URL(s): https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=153 Last checked: 04/17/2020 Requires: PDF Reader Notes: Item is within a single large file |
| MSU catalog number: b3609415 |
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