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| DOI: | 10.2135/cropsci2017.06.0395 |
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| Web URL(s): | https://dl.sciencesocieties.org/publications/cs/articles/58/3/1402
Last checked: 07/19/2018
Notes: Item is within a limited-access website
https://dl.sciencesocieties.org/publications/cs/pdfs/58/3/1402
Last checked: 07/19/2018
Requires: PDF Reader
Access conditions: Item is within a limited-access website
Notes: Direct download |
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| Publication Type:
| Refereed |
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| Author(s): | Kreuser, William C.;
Obear, Glen R.;
Michael, Darrell J.;
Soldat, Douglas J. |
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| Author Affiliation: | Kreuser, Obear, and Michael: Dep. of Agronomy and Horticulture, Univ. of Nebraska-Lincoln, Lincoln, NE; Soldat: Dep. of Soil Science, Univ. of Wisconsin, Madison, WI |
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| Title: | Growing degree-day models predict the performance of paclobutrazol on bentgrass golf putting greens |
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| Section: | Turfgrass science
Other records with the "Turfgrass science" Section
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| Source: | Crop Science. Vol. 58, No. 3, May/June 2018, p. 1402-1408. |
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| Publishing Information: | Madison, Wisconsin: Crop Science Society of America |
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| # of Pages: | 7 |
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| Related Web URL: | https://dl.sciencesocieties.org/publications/cs/abstracts/58/3/1402
Last checked: 07/19/2018
Notes: Abstract only |
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| Keywords: | TIC Keywords: Agrostis stolonifera; Application timing; Foliar uptake; Golf greens; Growing degree days; Paclobutrazol; Plant growth regulators
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| Abstract/Contents: | "The performance of plant growth regulators (PGRs) in turfgrass is closely related to air temperature. Growing degree-days (GDD) have been used to predict the performance of a foliar-absorbed PGR, trinexapac-ethyl (TE), on creeping bentgrass ( Agrostis stolonifera L.). Similar models have not been attempted for paclobutrazol, a root-absorbed PGR. This research aimed to develop GDD models (base temperatue = 0 °C) for paclobutrazol applied alone or in combination with TE. Models were developed on creeping bentgrass putting greens in Madison, WI (2009) and near Mead, NE, (2014 and 2015). Paclobutrazol was applied alone or with TE at various rates each year. Clippings were collected several times each week and treatments were reapplied when the PGRs effects expired. Sinewave regression models fitted relative clipping yield to GDD accumulation following the most recent PGR application. Relative clipping yield from all treatments was described by symmetric sinewave regression (adjusted R2: 0.409 - 0.862). The intensity of clipping yield suppression, expressed by the model amplitude, ranged from 0.293 to 0.621 g g-1, depending on the application rate or the addition of TE. The application rate had less effect on the duration of the growth response, represented by the model period. The estimated reapplication intervals ranged from 269 to 302 GDD. Tripling the application rate lengthened the estimated reapplication interval by <2 d. The addition of TE did not accelerate peak suppression and had a small, inconsistent impact on the model period. Golf course superintendents should use GDD models to schedule reapplications to sustain season-long yield suppression." |
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| Language: | English |
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| References: | 20 |
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| Note: | Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Kreuser, W. C., G. R. Obear, D. J. Michael, and D. J. Soldat. 2018. Growing degree-day models predict the performance of paclobutrazol on bentgrass golf putting greens. Crop Sci. 58(3):p. 1402-1408. |
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| DOI: 10.2135/cropsci2017.06.0395 |
| Web URL(s):
https://dl.sciencesocieties.org/publications/cs/articles/58/3/1402
Last checked: 07/19/2018
Notes: Item is within a limited-access website
https://dl.sciencesocieties.org/publications/cs/pdfs/58/3/1402
Last checked: 07/19/2018
Requires: PDF Reader
Access conditions: Item is within a limited-access website
Notes: Direct download |
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MSU catalog number: b2211522a |
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