Search National Agricultural Library (NAL) Digital Collections
Showing item
0 of from your search.
start over
Use of mathematical models to estimate characteristics of pyrethroid resistance in tobacco budworm and bollworm (Lepidoptera: Noctuidae) field populations
- Abstract::
- Genetic models have been used to examine the evolution of insecticide resistance in pest species subject to data and assumptions regarding genetic, biological, and operational parameters. We used time-series data on pyrethroid tolerance and simple genetic models to estimate underlying genetic and biological parameters associated with resistance evolution in tobacco budworm, Heliothis virescens (F.), and bollworm, Helicoverpa zea (Boddie), Louisiana field populations. Assuming pyrethroid resistance is conferred by one gene at one locus in both species, inheritance of pyrethroid resistance was partially dominant in the tobacco budworm and partially recessive in the bollworm. Relative fitness estimates indicated that fitness costs associated with resistance selected against resistance alleles in the absence of selection pressure in the tobacco budworm, but not in the bollworm. In addition, relative fitness estimates obtained using the indirect method outlined in this study were similar in magnitude to estimates obtained using traditional direct approaches.
- Author(s):
-
Livingston, M.J. , Carlson, G.A. , Fackler, P.L.
- Subject(s):
-
estimation , Heliothis virescens , Helicoverpa zea , pyrethroid insecticides , Bacillus thuringiensis , insecticide resistance , genetic resistance , gene frequency , mathematical models , inheritance (genetics) , Louisiana
- Description:
- Includes references
- Source:
- Journal of economic entomology Oct 2002. v. 95 (5)
- Language:
- English
- Year:
- 2002
- Collection:
-
Journal Articles, USDA Authors, Peer-Reviewed
- File:
-
Download [PDF]
- Rights:
- Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.