Literature DB >> 2198304

Quantitative genetic tools for insecticide resistance risk assessment: estimating the heritability of resistance.

M J Firko1, J L Hayes.   

Abstract

Quantitative genetic studies of resistance can provide estimates of genetic parameters not available with other types of genetic analyses. Three methods are discussed for estimating the amount of additive genetic variation in resistance to individual insecticides and subsequent estimation of the heritability (h2) of resistance. Sibling analysis and offspring-parent regression permit direct estimates of h2 by comparing the resistance phenotypes of individuals of known relatedness. Threshold trait analyses, performed on data from selection experiments, provide estimates of realized heritability. Procedures are outlined for predicting changes in resistance to insecticides based on h2 estimates. Quantitative genetic theory is examined as it relates to resistance and resistance as a quantitative trait; quantitative genetic methods also are unique in providing estimates of genetic correlations between traits. Comments are included on estimates of genetic correlation between resistance and phenotypic traits (e.g., development time) and how they may be used to predict changes in the genetic aspects of phenology that result from insecticide applications (i.e., to predict how the reproductive capacity of future generations will differ from that of the treated generation).

Entities:  

Mesh:

Year:  1990        PMID: 2198304     DOI: 10.1093/jee/83.3.647

Source DB:  PubMed          Journal:  J Econ Entomol        ISSN: 0022-0493            Impact factor:   2.381


  7 in total

1.  Selection, resistance risk assessment, and reversion toward susceptibility of pyriproxyfen in Musca domestica L.

Authors:  Rizwan Mustafa Shah; Naeem Abbas; Sarfraz Ali Shad; Ashfaq Ahmad Sial
Journal:  Parasitol Res       Date:  2014-11-04       Impact factor: 2.289

2.  Assessment of resistance risk to lambda-cyhalothrin and cross-resistance to four other insecticides in the house fly, Musca domestica L. (Diptera: Muscidae).

Authors:  Naeem Abbas; Sarfraz Ali Shad
Journal:  Parasitol Res       Date:  2015-04-23       Impact factor: 2.289

Review 3.  Quantitative genetics approaches to study evolutionary processes in ecotoxicology; a perspective from research on the evolution of resistance.

Authors:  Paul L Klerks; Lingtian Xie; Jeffrey S Levinton
Journal:  Ecotoxicology       Date:  2011-03-29       Impact factor: 2.823

Review 4.  Predicting insecticide resistance: mutagenesis, selection and response.

Authors:  J A McKenzie; P Batterham
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1998-10-29       Impact factor: 6.237

5.  Risk assessment of resistance to diflubenzuron in Musca domestica: Realized heritability and cross-resistance to fourteen insecticides from different classes.

Authors:  Abdulwahab M Hafez
Journal:  PLoS One       Date:  2022-05-13       Impact factor: 3.752

6.  Quantitative trait loci mapping of genome regions controlling permethrin resistance in the mosquito Aedes aegypti.

Authors:  Karla Saavedra-Rodriguez; Clare Strode; Adriana Flores Suarez; Ildefonso Fernandez Salas; Hilary Ranson; Janet Hemingway; William C Black
Journal:  Genetics       Date:  2008-08-24       Impact factor: 4.562

7.  Insecticide resistance evolution with mixtures and sequences: a model-based explanation.

Authors:  Andy South; Ian M Hastings
Journal:  Malar J       Date:  2018-02-15       Impact factor: 2.979

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.