Literature DB >> 8567454

Comparison of evaluation-selection systems for maximizing genetic response at the same level of inbreeding.

M Quinton1, C Smith.   

Abstract

Use of improved methods of genetic evaluation and intense selection lead to higher rates of genetic change but also lead to higher rates of inbreeding. A number of methods have been proposed to attain high rates of genetic response with moderate or low inbreeding (i.e., restrict the number of close relatives selected, use false high heritability in the genetic evaluation, use assortative mating, adjust estimated breeding values for the relationship with those already selected, avoid matings of related individuals, and increase the number of parents selected). These various methods were compared here using stochastic simulation of an infinitesimal genetic model. The results were studied graphically plotting response against inbreeding, so allowing comparison of the methods at each of a range of inbreeding levels. None of the methods was best over all conditions. At high rates of inbreeding and with a fixed number of sires, several of the methods gave large decreases in inbreeding for small losses in response. However, these were matched by simply increasing the number of sires selected. There is an optimum response-inbreeding "front" attained by several methods, and this front seems hard to breach. Characterization of the front would be useful in designing selection programs.

Mesh:

Year:  1995        PMID: 8567454     DOI: 10.2527/1995.7382208x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  5 in total

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2.  The effect of index selection on allele frequencies and future genetic gains when traits are correlated.

Authors:  M Quinten; I McMillan
Journal:  Theor Appl Genet       Date:  1996-12       Impact factor: 5.699

3.  Incorporation of competitive effects in forest tree or animal breeding programs.

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4.  Comparison of selection methods for optimizing genetic gain and gene diversity in a red pine ( Pinus resinosa Ait.) seedling seed orchard.

Authors:  A David; C Pike; R Stine
Journal:  Theor Appl Genet       Date:  2003-06-28       Impact factor: 5.699

5.  Evaluation of optimum genetic contribution theory to control inbreeding while maximizing genetic response.

Authors:  S-H Oh
Journal:  Asian-Australas J Anim Sci       Date:  2012-03       Impact factor: 2.509

  5 in total

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