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Related Concept Videos

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Symposium review: How to implement genomic selection.

P M VanRaden1

  • 1Animal Genomics and Improvement Laboratory, USDA, Agricultural Research Service, Beltsville, MD 20705-2350.

Journal of Dairy Science
|April 26, 2020
PubMed
Summary
This summary is machine-generated.

Genomic selection rapidly advanced animal breeding by integrating DNA data for more reliable predictions. This technology improves genetic evaluations, aids in mating decisions, and is expanding to diverse populations.

Keywords:
DNA testingdairy cattlegenomic predictiongenomic selection

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Area of Science:

  • Animal Genetics and Breeding
  • Genomic Prediction Technologies
  • Quantitative Genetics

Background:

  • Genomic selection (GS) adoption accelerated rapidly post-implementation.
  • Breeders continuously discover novel applications for genomic testing.
  • GS integrates DNA genotypes with extensive databases for enhanced breeding value estimation.

Purpose of the Study:

  • To review the advancements and widespread adoption of genomic selection in animal breeding.
  • To highlight improvements in data quality control and prediction model complexity.
  • To discuss the expanding applications of genomic predictions beyond traditional uses.

Main Methods:

  • Combining DNA genotypes with pedigree and phenotype data for millions of animals.
  • Utilizing imputation to integrate genotypes from various marker densities.
  • Developing advanced prediction models, including single-step, multitrait, and multibreed approaches.

Main Results:

  • Improved reliability of breeding values earlier in life.
  • Enhanced data quality control through comparison of genomic and pedigree relationships.
  • Expansion of GS applications to females, embryos, mating programs, and recessive allele detection.

Conclusions:

  • Genomic selection has revolutionized animal breeding, offering more accurate and timely genetic evaluations.
  • International genomic databases provide cost-effective and accurate predictions, fostering global cooperation.
  • Genomic prediction methodologies are adaptable to numerous animal, human, and plant populations.