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Genomic selection in plant breeding.

Mark A Newell1, Jean-Luc Jannink

  • 1The Samuel Roberts Noble Foundation, Ardmore, OK, USA.

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Summary
This summary is machine-generated.

Genomic selection (GS) uses high-density markers to predict genetic values, offering a more comprehensive approach than traditional methods. This method captures greater genetic variation for improved trait selection.

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Area of Science:

  • Genetics
  • Animal Breeding
  • Quantitative Genetics

Background:

  • Genomic selection (GS) is an advanced breeding technique.
  • It predicts an individual's genetic merit using high-density genomic markers.

Purpose of the Study:

  • To explain the principles of genomic selection.
  • To highlight its advantages over marker-assisted selection.

Main Methods:

  • Utilizes high-density single nucleotide polymorphism (SNP) markers across the entire genome.
  • Calculates genomic estimated breeding values (GEBV) for selection candidates.

Main Results:

  • GEBV incorporates effects from all markers, including those with minor and major effects.
  • This approach captures a larger portion of the genetic variation for a trait.

Conclusions:

  • Genomic selection offers a more accurate prediction of genetic values.
  • It has the potential to enhance selection efficiency and genetic gain in breeding programs.