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Related Experiment Videos

Genomic selection.

M E Goddard1, B J Hayes

  • 1University of Melbourne, Attwood, Australia. mike.goddard@dpi.vic.gov.au

Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie
|December 14, 2007
PubMed
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Genomic selection uses whole-genome genetic markers, like single nucleotide polymorphisms (SNP), to predict breeding values. Further validation is needed, especially across diverse populations, for accurate genomic selection implementation.

Area of Science:

  • Animal Genetics
  • Quantitative Genetics
  • Genomic Prediction

Background:

  • Genomic selection (GS) is an advanced marker-assisted selection technique.
  • It utilizes genome-wide genetic markers in linkage disequilibrium with quantitative trait loci (QTL).
  • Advancements in genome sequencing and SNP genotyping have made GS feasible.

Purpose of the Study:

  • To explore the potential of genomic selection in predicting breeding values.
  • To discuss the implications of genomic selection for genetic improvement programs.
  • To highlight the need for further research and validation of genomic selection methods.

Main Methods:

  • Utilizing genome-wide single nucleotide polymorphisms (SNP) as genetic markers.
  • Employing simulation and experimental results to assess prediction accuracy.

Related Experiment Videos

  • Approximating ideal breeding value estimation using marker genotypes instead of QTL genotypes.

    • Main Results:

    • Simulation and limited experimental data suggest high accuracy in predicting breeding values using genetic markers alone.
    • More validation is required, particularly in populations distinct from those used for marker effect estimation.
    • The ideal method involves calculating the conditional mean of breeding values given QTL genotypes, requiring prior QTL effect distributions.

    Conclusions:

    • Genomic selection holds significant promise for enhancing genetic gain in breeding programs.
    • Accurate implementation requires further research into QTL effect distributions and validation across diverse populations.
    • Genomic selection is expected to profoundly impact genetic evaluation systems and overall genetic improvement strategies.