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      Bifenthrin Baseline Susceptibility and Evaluation of Simulated Aerial Applications in Striacosta albicosta (Lepidoptera: Noctuidae)

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          Abstract

          Striacosta albicosta (Smith) is a maize pest that has recently expanded its geographical range into the eastern United States and southeastern Canada. Aerial application of pyrethroids, such as bifenthrin, has been a major practice adopted to manage this pest. Reports of field failure of pyrethroids have increased since 2013. Striacosta albicosta populations were collected in 2016 and 2017 from maize fields in Nebraska, Kansas, and Canada and screened with bifenthrin active ingredient in larval contact dose-response bioassays. Resistance ratios estimated were generally low in 2016 (1.04- to 1.32-fold) with the highest LC 50 in North Platte, NE (66.10 ng/cm 2) and lowest in Scottsbluff, NE (50.10 ng/cm 2). In 2017, O’Neill, NE showed the highest LC 50 (100.66 ng/cm 2) and Delhi, Canada exhibited the lowest (6.33 ng/cm 2), resulting in a resistance ratio variation of 6.02- to 15.90-fold. Implications of bifenthrin resistance levels were further investigated by aerial application simulations. Experiments were conducted with a spray chamber where representative S. albicosta populations were exposed to labeled rates of a commercial bifenthrin formulation. Experiments resulted in 100% mortality for all populations, instars, insecticide rates, and carrier volumes, suggesting that levels of resistance estimated for bifenthrin active ingredient did not seem to impact the efficacy of the correspondent commercial product under controlled conditions. Results obtained from this research indicate that control failures reported in Nebraska could be associated with factors other than insecticide resistance, such as issues with the application technique, environmental conditions during and/or after application, or the insect’s natural behavior. Data generated will assist future S. albicosta resistance management programs.

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          Molecular mechanisms of metabolic resistance to synthetic and natural xenobiotics.

          Xenobiotic resistance in insects has evolved predominantly by increasing the metabolic capability of detoxificative systems and/or reducing xenobiotic target site sensitivity. In contrast to the limited range of nucleotide changes that lead to target site insensitivity, many molecular mechanisms lead to enhancements in xenobiotic metabolism. The genomic changes that lead to amplification, overexpression, and coding sequence variation in the three major groups of genes encoding metabolic enzymes, i.e., cytochrome P450 monooxygenases (P450s), esterases, and glutathione-S-transferases (GSTs), are the focus of this review. A substantial number of the adaptive genomic changes associated with insecticide resistance that have been characterized to date are transposon mediated. Several lines of evidence suggest that P450 genes involved in insecticide resistance, and perhaps insecticide detoxification genes in general, may share an evolutionary association with genes involved in allelochemical metabolism. Differences in the selective regime imposed by allelochemicals and insecticides may account for the relative importance of regulatory or structural mutations in conferring resistance.
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            Overlapping confidence intervals or standard error intervals: What do they mean in terms of statistical significance?

            We investigate the procedure of checking for overlap between confidence intervals or standard error intervals to draw conclusions regarding hypotheses about differences between population parameters. Mathematical expressions and algebraic manipulations are given, and computer simulations are performed to assess the usefulness of confidence and standard error intervals in this manner. We make recommendations for their use in situations in which standard tests of hypotheses do not exist. An example is given that tests this methodology for comparing effective dose levels in independent probit regressions, an application that is also pertinent to derivations of LC50s for insect pathogens and of detectability half-lives for prey proteins or DNA sequences in predator gut analysis.
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              Genetic and biological influences in the evolution of insecticide resistance.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                J Econ Entomol
                J. Econ. Entomol
                jee
                Journal of Economic Entomology
                Oxford University Press (US )
                0022-0493
                1938-291X
                December 2019
                31 August 2019
                31 August 2019
                : 112
                : 6
                : 2915-2922
                Affiliations
                [1 ] Department of Entomology, University of Nebraska-Lincoln , Lincoln, NE
                [2 ] Department of Entomology, University of Nebraska-Lincoln , Haskell Agricultural Laboratory, Concord, NE
                [3 ] Department of Agronomy and Horticulture, University of Nebraska-Lincoln , West Central Research & Extension Center, North Platte, NE
                [4 ] Department of Entomology, Kansas State University , Southwest Research-Extension Center, Garden City, KS
                [5 ] Department of Entomology, University of Nebraska-Lincoln , Panhandle Research & Extension Center, Scottsbluff, NE
                [6 ] Department of Entomology, University of Nebraska-Lincoln , West Central Research & Extension Center, North Platte, NE
                Author notes
                Corresponding author, e-mail: deiagm@ 123456gmail.com
                Author information
                http://orcid.org/0000-0003-1476-6923
                http://orcid.org/0000-0003-3681-9053
                http://orcid.org/0000-0001-6487-3714
                Article
                toz237
                10.1093/jee/toz237
                6900747
                31504657
                ace5225f-703b-4d8c-8b15-0fc26678d6e7
                © The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 21 May 2019
                Page count
                Pages: 8
                Funding
                Funded by: Agriculture and Food Research
                Award ID: 2015-67028-23519
                Funded by: USDA National Institute of Food and Agriculture
                Funded by: Critical Agricultural Research & Extension
                Award ID: A1701
                Categories
                Insecticide Resistance and Resistance Management

                baseline susceptibility,bifenthrin,spray chamber,pyrethroids,resistance management

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