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Selective genotyping to implement genomic selection in beef cattle breeding.

Maryam Esrafili Taze Kand Mohammaddiyeh1, Seyed Abbas Rafat1, Jalil Shodja1

  • 1Department of Animal Sciences, University of Tabriz, Tabriz, Iran.

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|April 3, 2023
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Summary
This summary is machine-generated.

Genomic selection (GS) in beef cattle improves prediction accuracy, even with limited genotyping. Selective genotyping of ancestral and young animals, across both sexes, is recommended for effective implementation.

Keywords:
SSGblupbeefgenomic estimated breeding valuemeta-founderpedigree

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Area of Science:

  • Animal Genetics
  • Quantitative Genetics
  • Breeding Programs

Background:

  • Genomic selection (GS) is crucial for livestock genetic improvement, widely used in dairy cattle.
  • Implementing GS in beef cattle is challenging due to different breeding structures, limiting its adoption.
  • Limited availability of phenotypic and genomic data poses further challenges for beef cattle GS.

Purpose of the Study:

  • To evaluate different genotyping strategies for genomic selection in beef cattle.
  • To assess the prediction accuracy improvements offered by GS compared to traditional methods.
  • To provide a foundation for implementing GS in practical beef cattle breeding programs.

Main Methods:

  • Simulated a multi-breed beef cattle population reflecting practical genetic evaluation systems.
  • Compared four selective genotyping scenarios against traditional pedigree-based evaluation.
  • Assessed prediction accuracy with a limited number of genotyped animals (3% of the total population).

Main Results:

  • Genomic selection demonstrated improved prediction accuracy in beef cattle, even with a small proportion of genotyped animals.
  • Selective genotyping strategies yielded better results than random genotyping.
  • Optimal selective genotyping involved targeting animals from both ancestral and younger generations.

Conclusions:

  • Genomic selection is a viable tool for beef cattle genetic improvement, enhancing prediction accuracy.
  • Selective genotyping, focusing on diverse age groups and both sexes, is key for efficient GS implementation.
  • These findings support the integration of GS into beef cattle breeding programs, optimizing genetic gain.