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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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Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | Kreuser, William C. |
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| Author Affiliation: | University of Nebraska-Lincoln |
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| Title: | Growing degree day models to guide PGR appication rates |
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| Section: | Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section
Ecophysiology: Temperature
Other records with the "Ecophysiology: Temperature" Section
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| Source: | Turfgrass and Environmental Research Program: 2018 Research Summaries. 2018, p. 141-143. |
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| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
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| # of Pages: | 3 |
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| Keywords: | TIC Keywords: Application rates; Clipping weight; Dwarf bermudagrasses; Growing degree days; Growth regulator evaluation; Plant growth regulators
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| Language: | English |
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| References: | 2 |
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| See Also: | Other Reports from this USGA research project: 2018-09-659 |
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| Note: | Pictures, color
Graphs |
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| 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. |
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| 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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| Web URL(s):
http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=149
Last checked: 05/02/2019
Requires: PDF Reader
Notes: Item is within a single large file |
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MSU catalog number: b3609415 |
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