Literature DB >> 10021775

Myths, models and mitigation of resistance to pesticides.

M A Hoy1.   

Abstract

Resistance to pesticides in arthropod pests is a significant economic, ecological and public health problem. Although extensive research has been conducted on diverse aspects of pesticide resistance and we have learned a great deal during the past 50 years, to some degree the discussion about 'resistance management' has been based on 'myths'. One myth involves the belief that we can manage resistance. I will maintain that we can only attempt to mitigate resistance because resistance is a natural evolutionary response to environmental stresses. As such, resistance will remain an ongoing dilemma in pest management and we can only delay the onset of resistance to pesticides. 'Resistance management' models and tactics have been much discussed but have been tested and deployed in practical pest management programmes with only limited success. Yet the myth persists that better models will provide a 'solution' to the problem. The reality is that success in using mitigation models is limited because these models are applied to inappropriate situations in which the critical genetic, ecological, biological or logistic assumptions cannot be met. It is difficult to predict in advance which model is appropriate to a particular situation; if the model assumptions cannot be met, applying the model sometimes can increase the rate of resistance development rather than slow it down. Are there any solutions? I believe we already have one. Unfortunately, it is not a simple or easy one to deploy. It involves employing effective agronomic practices to develop and maintain a healthy crop, monitoring pest densities, evaluating economic injury levels so that pesticides are applied only when necessary, deploying and conserving biological control agents, using host-plant resistance, cultural controls of the pest, biorational pest controls, and genetic control methods. As a part of a truly multi-tactic strategy, it is crucial to evaluate the effect of pesticides on natural enemies in order to preserve them in the cropping system. Sometimes, pesticide-resistant natural enemies are effective components of this resistance mitigation programme. Another name for this resistance mitigation model is integrated pest management (IPM). This complex model was outlined in some detail nearly 40 years ago by V. M. Stern and colleagues. To deploy the IPM resistance mitigation model, we must admit that pest management and resistance mitigation programmes are not sustainable if based on a single-tactic strategy. Delaying resistance, whether to traditional pesticides or to transgenic plants containing toxin genes from Bacillus thuringiensis, will require that we develop multi-tactic pest management programmes that incorporate all appropriate pest management approaches. Because pesticides are limited resources, and their loss can result in significant social and economic costs, they should be reserved for situations where they are truly needed--as tools to subdue an unexpected pest population outbreak. Effective multi-tactic IPM programmes delay resistance (= mitigation) because the number and rates of pesticide applications will be reduced.

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Year:  1998        PMID: 10021775      PMCID: PMC1692395          DOI: 10.1098/rstb.1998.0331

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  6 in total

Review 1.  Gene amplification and insecticide resistance.

Authors:  A L Devonshire; L M Field
Journal:  Annu Rev Entomol       Date:  1991       Impact factor: 19.686

Review 2.  Avermectins, a novel class of compounds: implications for use in arthropod pest control.

Authors:  J A Lasota; R A Dybas
Journal:  Annu Rev Entomol       Date:  1991       Impact factor: 19.686

3.  Dynamics of the emergence of genetic resistance to biocides among asexual and sexual organisms.

Authors:  K Jaffe; S Issa; E Daniels; D Haile
Journal:  J Theor Biol       Date:  1997-10-07       Impact factor: 2.691

Review 4.  Insecticide resistance genes in mosquitoes: their mutations, migration, and selection in field populations.

Authors:  N Pasteur; M Raymond
Journal:  J Hered       Date:  1996 Nov-Dec       Impact factor: 2.645

5.  Testing the unique amplification event and the worldwide migration hypothesis of insecticide resistance genes with sequence data.

Authors:  T Guillemaud; S Rooker; N Pasteur; M Raymond
Journal:  Heredity (Edinb)       Date:  1996-11       Impact factor: 3.821

6.  One gene in diamondback moth confers resistance to four Bacillus thuringiensis toxins.

Authors:  B E Tabashnik; Y B Liu; N Finson; L Masson; D G Heckel
Journal:  Proc Natl Acad Sci U S A       Date:  1997-03-04       Impact factor: 11.205

  6 in total
  16 in total

1.  Influence of temperature on virulence of fungal isolates of Metarhizium anisopliae and Beauveria bassiana to the two-spotted spider mite Tetranychus urticae.

Authors:  David Mugisho Bugeme; Markus Knapp; Hamadi Iddi Boga; Anthony Kibira Wanjoya; Nguya Kalemba Maniania
Journal:  Mycopathologia       Date:  2008-11-06       Impact factor: 2.574

2.  The effects of clofentezine on life-table parameters in two-spotted spider mite Tetranychus urticae.

Authors:  Dejan Marcic
Journal:  Exp Appl Acarol       Date:  2003       Impact factor: 2.132

3.  Challenges in estimating insecticide selection pressures from mosquito field data.

Authors:  Susana Barbosa; William C Black; Ian Hastings
Journal:  PLoS Negl Trop Dis       Date:  2011-11-01

4.  Phosphine resistance in the rust red flour beetle, Tribolium castaneum (Coleoptera: Tenebrionidae): inheritance, gene interactions and fitness costs.

Authors:  Rajeswaran Jagadeesan; Patrick J Collins; Gregory J Daglish; Paul R Ebert; David I Schlipalius
Journal:  PLoS One       Date:  2012-02-21       Impact factor: 3.240

5.  Resistance is not Futile: It Shapes Insecticide Discovery.

Authors:  Margaret C Hardy
Journal:  Insects       Date:  2014-01-23       Impact factor: 2.769

6.  The effects of city streets on an urban disease vector.

Authors:  Corentin M Barbu; Andrew Hong; Jennifer M Manne; Dylan S Small; Javier E Quintanilla Calderón; Karthik Sethuraman; Víctor Quispe-Machaca; Jenny Ancca-Juárez; Juan G Cornejo del Carpio; Fernando S Málaga Chavez; César Náquira; Michael Z Levy
Journal:  PLoS Comput Biol       Date:  2013-01-17       Impact factor: 4.475

7.  Exudate from sporulating cultures of Hirsutella thompsonii inhibit oviposition by the two-spotted spider mite Tetranychus urticae.

Authors:  José Luis Rosas-Acevedo; Drion G Boucias; Roberto Lezama; Kelly Sims; Alfonso Pescador
Journal:  Exp Appl Acarol       Date:  2003       Impact factor: 2.380

8.  Geometric morphometrics of nine field isolates of Aedes aegypti with different resistance levels to lambda-cyhalothrin and relative fitness of one artificially selected for resistance.

Authors:  Nicolás Jaramillo-O; Idalyd Fonseca-González; Duverney Chaverra-Rodríguez
Journal:  PLoS One       Date:  2014-05-06       Impact factor: 3.240

9.  A common-garden experiment to quantify evolutionary processes in copepods: the case of emamectin benzoate resistance in the parasitic sea louse Lepeophtheirus salmonis.

Authors:  Lina Eva Robin Ljungfeldt; Per Gunnar Espedal; Frank Nilsen; Mette Skern-Mauritzen; Kevin Alan Glover
Journal:  BMC Evol Biol       Date:  2014-05-19       Impact factor: 3.260

10.  Cuticle Thickening in a Pyrethroid-Resistant Strain of the Common Bed Bug, Cimex lectularius L. (Hemiptera: Cimicidae).

Authors:  David G Lilly; Sharissa L Latham; Cameron E Webb; Stephen L Doggett
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

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