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| Web URL(s): | https://scisoc.confex.com/crops/2015am/webprogram/Paper92769.html
Last checked: 11/19/2015
https://archive.lib.msu.edu/tic/gcman/article/2016jul.pdf#page=89
Last checked: 09/18/2019
Requires: PDF Reader
Notes: Item is within a single large document; Golf Course Management reprint; Variant title "Improving a predictive model for billbug management"; Variant author "Teresa Carson" |
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| Access Restriction: | Certain MSU-hosted archive URLs may be restricted to legacy database members. |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Ramirez, Ricardo;
Dupuy, Madeleine |
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| Author Affiliation: | Utah State University, Logan, UT |
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| Title: | Kill billbug: Improving a predictive model to time management in the Intermountain West |
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| Section: | C05 turfgrass science
Other records with the "C05 turfgrass science" Section
Symposium--Turfgrass insect management: New and emerging issues
Other records with the "Symposium--Turfgrass insect management: New and emerging issues" Section
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| Meeting Info.: | Minneapolis, Minnesota: November 15-18, 2015 |
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| Source: | ASA, CSSA and SSSA International Annual Meetings. 2015, p. 92769. |
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| Publishing Information: | [Milwaukee, Wisconsin]: [American Society of Agronomy and the Entomological Society of America] |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Insect behavior; Insect control; Insect distribution; Insect profile; Regional variation; Seasonal variation; Sphenophorus; Sphenophorus cicatristriatus; Sphenophorus parvulus; Sphenophorus veratus vestitus; Temperature response
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| Geographic Terms: | Intermountain Western United States |
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| Abstract/Contents: | "Billbugs (Sphenophorus spp.) have been identified as the most problematic insect pest to turf in the Intermountain West. Most of what is known about billbug phenology comes from a degree day model developed in the eastern U.S and is based on bluegrass billbug populations. Several aspects of the model, however, have not been verified in our region. We conducted a field study to examine the seasonal activity of billbugs in turfgrass to improve our understanding of billbug biology and management in the Intermountain West. We found a complex of three billbug species affecting turf that included the bluegrass billbug (S. parvulus), hunting billbug (S. venatus vestitus), and Rocky Mountain billbug (S. cicatristriatus). There was variation in species composition and density of adult populations among sites and differences in elevation, annual precipitation, average annual high and low temperatures, and management could be contributing factors. First occurrence of adult billbugs in Utah was calculated to be several weeks earlier (4-15 DD10) than predicted by the current model (155-195 DD10). Populations of the damaging larval stages were highest two weeks after adult peaks. An adjustment of the current model to have an early biofix (January 13 versus March 1) and lower temperature threshold (5 C versus 10 C) appears to improve the model fit for our region. Our proposed model predicts first occurrence of billbugs between 39-111 DD5, 30% adult emergence between 459-484 DD5, and peak adult activity between 768-838 DD5. Data from multiple seasons is being used to further develop the proposed degree-day model and optimize timing of management for billbugs in the Intermountain West. Using this information, we are now testing the efficacy of biological and chemical control tactics with varying irrigation levels on billbug suppression." |
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| Language: | English |
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| References: | 0 |
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| Note: | Reprint appears in Golf Course Management, 84(7) July 2016, p. 85, with variant title "Improving a predictive model for billbug management" and variant author Teresa Carson
This item is an abstract only!
"217-2" |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Ramirez, R., and M. Dupuy. 2015. Kill billbug: Improving a predictive model to time management in the Intermountain West. Agron. Abr. p. 92769. |
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| Choices for finding the above item: |
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| Web URL(s):
https://scisoc.confex.com/crops/2015am/webprogram/Paper92769.html
Last checked: 11/19/2015
https://archive.lib.msu.edu/tic/gcman/article/2016jul.pdf#page=89
Last checked: 09/18/2019
Requires: PDF Reader
Notes: Item is within a single large document; Golf Course Management reprint; Variant title "Improving a predictive model for billbug management"; Variant author "Teresa Carson" |
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Digitally in TIC by record number. |
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