Full TGIF Record # 288904
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DOI:10.1093/jee/tox210
Web URL(s):https://academic.oup.com/jee/article/doi/10.1093/jee/tox210/4107611/Developing-a-Degree-Day-Model-to-Predict-Billbug
    Last checked: 09/14/2017
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https://academic.oup.com/jee/article-pdf/doi/10.1093/jee/tox210/19716949/tox210.pdf
    Last checked: 09/14/2017
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Publication Type:
i
Refereed
Author(s):Dupuy, Madeleine M.; Powell, James A.; Ramirez, Ricardo A.
Author Affiliation:Dupuy and Ramirez: Department of Biology, Utah State University, Logan, UT; Powell: Department of Biology, Utah State University, Logan, UT and Department of Mathematics, Utah State University, Logan, UT
Title:Developing a degree-day model to predict billbug (Coleoptera: Curculionidae) seasonal activity in Utah and Idaho turfgrass
Section:Horticultural entomology
Other records with the "Horticultural entomology" Section
Source:Journal of Economic Entomology. Vol. 110, No. 5, October 2017, p. 2180-2189.
Publishing Information:Lanham, Maryland: Entomological Society of America
# of Pages:10
Keywords:TIC Keywords: Growing degree days; Insect control; Integrated pest management; Models; Phenology; Seasonal variation; Sphenophorus
Geographic Terms:Utah; Idaho
Abstract/Contents:"Billbugs are native pests of turfgrass throughout North America, primarily managed with preventive, calendar-based insecticide applications. An existing degree-day model (lower development threshold of 10°C, biofix 1 March) developed in the eastern United States for bluegrass billbug, Sphenophorus parvulus (Gyllenhal; Coleoptera: Curculionidae), may not accurately predict adult billbug activity in the western United States, where billbugs occur as a species complex. The objectives of this study were 1) to track billbug phenology and species composition in managed Utah and Idaho turfgrass and 2) to evaluate model parameters that best predict billbug activity, including those of the existing bluegrass billbug model. Tracking billbugs with linear pitfall traps at two sites each in Utah and Idaho, we confirmed a complex of three univoltine species damaging turfgrass consisting of (in descending order of abundance) bluegrass billbug, hunting billbug (Sphenophorus venatus vestitus Chittenden; Coleoptera: Curculionidae), and Rocky Mountain billbug (Sphenophorus cicatristriatus Fabraeus; Coleoptera: Curculionidae). This complex was active from February through mid-October, with peak activity in mid-June. Based on linear regression analysis, we found that the existing bluegrass billbug model was not robust in predicting billbug activity in Utah and Idaho. Instead, the model that best predicts adult activity of the billbug complex accumulates degree-days above 3°C after 13 January. This model predicts adult activity levels important for management within 11 d of observed activity at 77% of sites. In conjunction with outreach and cooperative networking, this predictive degree-day model may assist end users to better time monitoring efforts and insecticide applications against billbug pests in Utah and Idaho by predicting adult activity."
Language:English
References:60
Note:Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Dupuy, M. M., J. A. Powell, and R. A. Ramirez. 2017. Developing a degree-day model to predict billbug (Coleoptera: Curculionidae) seasonal activity in Utah and Idaho turfgrass. J. Econ. Entomol. 110(5):p. 2180-2189.
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DOI: 10.1093/jee/tox210
Web URL(s):
https://academic.oup.com/jee/article/doi/10.1093/jee/tox210/4107611/Developing-a-Degree-Day-Model-to-Predict-Billbug
    Last checked: 09/14/2017
    Access conditions: Item is within a limited-access website
https://academic.oup.com/jee/article-pdf/doi/10.1093/jee/tox210/19716949/tox210.pdf
    Last checked: 09/14/2017
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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