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Quantitative genetic tools for insecticide resistance risk assessment: estimating the heritability of resistance.
Firko, M J; Hayes, J L.
Afiliação
  • Firko MJ; Southern Field Crop Insect Management Laboratory, USDA-ARS, Stoneville, Mississippi 38776.
J Econ Entomol ; 83(3): 647-54, 1990 Jun.
Article em En | MEDLINE | ID: mdl-2198304
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).
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistência a Inseticidas Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Animals Idioma: En Revista: J Econ Entomol Ano de publicação: 1990 Tipo de documento: Article
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistência a Inseticidas Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Animals Idioma: En Revista: J Econ Entomol Ano de publicação: 1990 Tipo de documento: Article