Literature DB >> 24221377

Selection of sires to reduce sampling variance in the estimates of heritability by half-sib correlation.

L Gomez-Raya1, L R Schaeffer, E B Burnside.   

Abstract

Standard methods to estimate heritability by half-sib correlation are biased if selection has operated in the parental generation. In this paper a simple method to correct for selection of animals used as sires is described. By selection of both the top and the bottom ranking sires, the sampling variances of the corrected estimates of heritability are substantially reduced. Algebraic expressions to predict the sampling variance of the estimates of heritability using selected sires are derived. Theoretical predictions were checked by Monte-Carlo simulation. The results may have application in the design of experiments to estimate heritabilities.

Year:  1991        PMID: 24221377     DOI: 10.1007/BF00226728

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


  6 in total

1.  The effect of selection on genetic variability: a simulation study.

Authors:  M G Bulmer
Journal:  Genet Res       Date:  1976-10       Impact factor: 1.588

2.  Possible biases in heritability estimates from intraclass correlation.

Authors:  R W Ponzoni; J W James
Journal:  Theor Appl Genet       Date:  1978-01       Impact factor: 5.699

3.  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

4.  Design of experiments to estimate heritability when observations are available on parents and offspring.

Authors:  R Thompson
Journal:  Biometrics       Date:  1976-06       Impact factor: 2.571

5.  Analysis of selection experiments using mixed model methodology.

Authors:  D A Sorensen; B W Kennedy
Journal:  J Anim Sci       Date:  1986-07       Impact factor: 3.159

6.  Design of experiments to estimate heritability by regression of offspring on selected parents.

Authors:  W G Hill
Journal:  Biometrics       Date:  1970-09       Impact factor: 2.571

  6 in total

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