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Using markers in gene introgression breeding programs.

F Hospital1, C Chevalet, P Mulsant

  • 1Laboratoire de Génétique Cellulaire, Institut National de la Recherche Agronomique, Castanet, France.

Genetics
|December 1, 1992
PubMed
Summary
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Marker-assisted selection can accelerate genome recovery in breeding programs by approximately two generations. Optimal marker placement and selection intensity are crucial for maximizing efficiency, especially in early generations.

Area of Science:

  • Plant breeding
  • Genetics
  • Genomics

Background:

  • Introgression breeding programs aim to incorporate desirable genes into elite varieties.
  • Efficient recovery of the recipient genome is critical for successful introgression.
  • Marker-assisted selection (MAS) offers potential to expedite this process.

Purpose of the Study:

  • To investigate the effectiveness of MAS in accelerating genome recovery during introgression breeding.
  • To evaluate the impact of selection parameters on MAS efficiency.
  • To propose an optimized whole-genome selection strategy.

Main Methods:

  • Simulation studies were conducted to assess MAS effects.
  • Factors analyzed included selection time/intensity, population size, and marker characteristics (number, position).

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  • Chromosomes with and without the introgressed gene were analyzed.

    • Main Results:

    • MAS can achieve a time gain of approximately two generations.
    • Efficiency is generally lower than theoretical predictions.
    • Marker map position is a key factor for utility.
    • More than three markers per non-carrier chromosome are inefficient early on.
    • Distant markers are effective for controlling the introgressed gene segment, especially with high selection intensity.

    Conclusions:

    • Marker-assisted selection provides a significant, albeit sometimes overestimated, advantage in introgression breeding.
    • Strategic marker selection and application, considering map position and selection intensity, are vital for optimizing genome recovery.
    • An integrated whole-genome selection strategy can maximize resource utilization in breeding programs.