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| Web URL(s): | http://archive.lib.msu.edu/tic/ressum/2010/8.pdf
Last checked: 01/23/2017
Requires: PDF Reader |
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| Publication Type:
| Report |
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| Author(s): | Peck, Daniel C.;
Seto, Masanori;
Diaz, Maria |
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| Author Affiliation: | Cornell University |
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| Title: | Interpreting and forecasting phenology of the annual bluegrass weevil in golf course landscapes |
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| Section: | Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section
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| Source: | 2010 Turfgrass and Environmental Research Summary. 2010, p. 8. |
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| Publishing Information: | Far Hills, NJ: United States Golf Association |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Geographical distribution; Growing degree days; Listronotus maculicollis; Insect control; Life cycle; Migration; Overwintering; Phenology; Population dynamics
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| Abstract/Contents: | Presents a study conducted during 2010 to "(1) describe patterns of variation in population fluctuations and phenology of annual bluegrass weevils," "(2) describe the overwintering strategy by establishing the factors that affect site selection and success," "(3) document the relationship between overwintering sites and developmental sites," and "(4) develop and validate a degree-day model to forecast phenology." Notes that the researchers' goal was "to better understand the spatial, temporal, and dynamic aspects of the relationship between overwintering and developmental sites." Details methods and materials used during the study, stating that "data were collected weekly by extracting larvae from soil cores and flushing adults with a soapy disclosing solution." Reports that "on short-mowed P. annua turf, there is more variation from year to year than from site to site in terms of population parameters such as shape of the fluctuation curve, number of generations, and generation time." Concludes that "without further refinement, a nonlinear degree-day model has the capacity to predict the timing of ABW [annual bluegrass weevil] developmental stages across a wide geographic area." |
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| Language: | English |
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| References: | 0 |
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| Note: | Published as a part of USGA Turfgrass and Environmental Research Online, December 1 2010, Vol. 9, No. 23
Pictures, color |
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| USGA Summary Points: | Studies on the biology of ABW in overwintering and developmental habitats have refined our understanding of how this insect pest exploits and damages susceptible golf course playing surfaces It is hypothesized that adults immigrate to fairways in spring largely by walking with orientation to low-cut turf, but they emigrate in fall largely by flying with orientation to defined tree lines where they settle into preferred overwintering substrates On short-mowed P. Annua turf, there is more variation from year to year than from site to site in terms of population parameters such as shape of the fluctuation curve, number of generations, and generation time Degree day is a statistically better predictor for ABW phenology than calendar date, and a preliminary model has high predictive power for the first generation With further refinement, a nonlinear degree-day model has the capacity to predict the timing of ABW developmental stages across a wide geographic area |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Peck, D. C., M. Seto, and M. Diaz. 2010. Interpreting and forecasting phenology of the annual bluegrass weevil in golf course landscapes. Turfgrass Environ. Res. Summ. p. 8. |
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| Web URL(s):
http://archive.lib.msu.edu/tic/ressum/2010/8.pdf
Last checked: 01/23/2017
Requires: PDF Reader |
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MSU catalog number: b3609415 |
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