Literature DB >> 24203191

Asymmetrical correlated responses to selection under an infinitesimal genetic model.

B Villanueva1, B W Kennedy.   

Abstract

Asymmetry in correlated responses to selection is expected when more than one cycle of selection is practised due to changes in genetic parameters produced by selection. In large populations, under the infinitesimal model these changes are due to linkage disequilibrium generated by selection and not to gene frequency changes. This study examines the conditions under which asymmetrical correlated responses are to be expected when an infinitesimal model is considered. Asymmetrical correlated responses in two traits in respect to which trait is selected are expected if the two traits have different heritabilities. Predicted asymmetry increases with the absolute value of the genetic correlation between the two traits, the difference between the two heritabilities, the intensity of selection and the number of generations of selection. Linkage disequilibrium generated by selection should be taken into account in explaining asymmetrical correlated responses observed in selection experiments.

Year:  1992        PMID: 24203191     DOI: 10.1007/BF00229490

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  15 in total

1.  A double selection experiment for body weight and breast angle at eight weeks of age in chickens.

Authors:  P B SIEGEL
Journal:  Genetics       Date:  1962-10       Impact factor: 4.562

2.  Assortative mating and the genetic correlation.

Authors:  D Gianola
Journal:  Theor Appl Genet       Date:  1982-09       Impact factor: 5.699

3.  Direct and correlated responses to selection for weaning weight, post-weaning weight gain and six-week weight in mice.

Authors:  R L Baker; E H Cox; A H Carter
Journal:  Theor Appl Genet       Date:  1984-01       Impact factor: 5.699

4.  The effect of repeated cycles of selection on genetic variance, heritability, and response.

Authors:  L Gomez-Raya; E B Burnside
Journal:  Theor Appl Genet       Date:  1990-04       Impact factor: 5.699

5.  Effect of selection on genetic parameters of correlated traits.

Authors:  B Villanueva; B W Kennedy
Journal:  Theor Appl Genet       Date:  1990-12       Impact factor: 5.699

6.  Effects of selection for independent changes in two highly correlated body weight traits of mice.

Authors:  J C McCarthy; D P Doolittle
Journal:  Genet Res       Date:  1977-04       Impact factor: 1.588

7.  A MULTIVARIATE STATISTICAL ANALYSIS OF DIRECT AND CORRELATED RESPONSE TO SELECTION IN THE RAT.

Authors:  William R Atchley; J J Rutledge; David E Cowley
Journal:  Evolution       Date:  1982-07       Impact factor: 3.694

8.  Asymmetrical responses to automatic selection for body size in Drosophila melanogaster.

Authors:  R Baptist; A Robertson
Journal:  Theor Appl Genet       Date:  1976-09       Impact factor: 5.699

9.  Thyroid activity in lines of mice selected for large and small body weight.

Authors:  R M Synenki; E J Eisen; G Matrone; O W Robison
Journal:  Can J Genet Cytol       Date:  1972-09

10.  Some observations on asymmetrical correlated responses to selection.

Authors:  B B Bohren; W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-02       Impact factor: 1.588

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  4 in total

1.  Long-term restricted index selection in mice designed to change fat content without changing body size.

Authors:  E J Eisen; L S Benyon; J A Douglas
Journal:  Theor Appl Genet       Date:  1995-07       Impact factor: 5.699

2.  Restricted index selection in mice designed to change body fat without changing body weight: direct responses.

Authors:  E J Eisen
Journal:  Theor Appl Genet       Date:  1992-05       Impact factor: 5.699

3.  Environmentally induced changes in correlated responses to selection reveal variable pleiotropy across a complex genetic network.

Authors:  Kristin L Sikkink; Rose M Reynolds; William A Cresko; Patrick C Phillips
Journal:  Evolution       Date:  2015-05-07       Impact factor: 3.694

4.  Genetically integrated traits and rugged adaptive landscapes in digital organisms.

Authors:  Elizabeth A Ostrowski; Charles Ofria; Richard E Lenski
Journal:  BMC Evol Biol       Date:  2015-05-12       Impact factor: 3.260

  4 in total

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