Literature DB >> 1459435

Prediction of selection response for threshold dichotomous traits.

J L Foulley1.   

Abstract

This paper presents a formula to predict expected response to one generation of truncation selection for a dichotomous trait under polygenic additive inheritance. The derivation relies on the threshold liability concept and on the normality assumption of the joint distribution of additive genetic values and their predictors used as selection criteria. This formula accounts for asymmetry of response when both the prevalence of the trait and the selection rate differ from 1/2 via a bivariate normal integral term. The relationship with the classical formula R = iota rho sigma G is explained with a Taylor expansion about a zero value of the correlation factor. Properties are illustrated with an example of sire selection based on progeny test performance which shows a departure from usual predictions up to 15-20% at low (0.05) or high (0.95) selection rates. Univariate approximations and extensions to several paths of genetic change are also discussed.

Mesh:

Year:  1992        PMID: 1459435      PMCID: PMC1205238     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  3 in total

1.  Heritability of Threshold Characters.

Authors:  E R Dempster; I M Lerner
Journal:  Genetics       Date:  1950-03       Impact factor: 4.562

2.  Directional selection and variation in finite populations.

Authors:  P D Keightley; W G Hill
Journal:  Genetics       Date:  1987-11       Impact factor: 4.562

3.  Multifactorial qualitative traits: genetic analysis and prediction of recurrence risks.

Authors:  N R Mendell; R C Elston
Journal:  Biometrics       Date:  1974-03       Impact factor: 2.571

  3 in total
  1 in total

1.  Heritable environmental variance causes nonlinear relationships between traits: application to birth weight and stillbirth of pigs.

Authors:  Herman A Mulder; William G Hill; Egbert F Knol
Journal:  Genetics       Date:  2015-01-27       Impact factor: 4.562

  1 in total

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