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Related Experiment Videos

Potential gain from optimizing multigeneration selection on an identified quantitative trait locus.

J C Dekkers1, R Chakraborty

  • 1Department of Animal Science, Iowa State University, Ames, 50011-3150, USA. jdekkers@iastate.edu

Journal of Animal Science
|January 29, 2002
PubMed
Summary

Optimizing selection for quantitative trait loci (QTL) can improve breeding value, but gains are often limited. Optimal strategies offer modest improvements over standard methods, with significant benefits in specific cases like low heritability traits.

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Area of Science:

  • Animal breeding and genetics
  • Quantitative genetics
  • Genomic selection

Background:

  • Quantitative trait loci (QTL) are increasingly used in animal breeding to enhance selection efficiency.
  • Optimizing the integration of QTL information with polygenic breeding values is crucial for maximizing genetic gain.

Purpose of the Study:

  • To investigate the potential extra response from optimally using a known QTL in selection by optimizing weights in a breeding value index.
  • To compare different selection strategies, including standard and optimal QTL selection, stepwise selection, and non-QTL selection.

Main Methods:

  • Developed a deterministic model for simultaneous selection on QTL and polygenic effects using optimal control theory.
  • Evaluated responses over 10 generations using cumulative discounted response with discount rates of 10% and 30% per generation.

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  • Compared four selection strategies: standard QTL, optimal QTL, stepwise optimal QTL, and non-QTL selection.

    • Main Results:

    • Optimal QTL selection provided up to 20% greater cumulative discounted response than standard QTL selection, but typically less than 5%.
    • For traits with low heritability and recessive QTL at low frequency, optimal selection yielded up to 55% greater response compared to non-QTL selection.
    • Stepwise optimal selection was less effective than standard QTL selection for QTL with negative dominance, with limited benefits over stepwise optimal selection except for overdominant QTL.

    Conclusions:

    • Optimizing selection on identified QTL can increase response, but benefits are often limited in single-stage purebred selection scenarios.
    • The impact of discount rate on optimal selection strategies was minimal.
    • Further research may be needed for complex scenarios involving multiple QTL or different breeding schemes.