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Related Experiment Video

Updated: Nov 19, 2025

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Improved dairy cattle mating plans at herd level using genomic information.

M Bérodier1, P Berg2, T Meuwissen2

  • 1UMR GABI, AgroParisTech, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France; MO3, 01250, Ceyzériat, France.

Animal : an International Journal of Animal Bioscience
|January 30, 2021
PubMed
Summary

Genomic information significantly improves cattle mating strategies by maximizing genetic gain and minimizing inbreeding. Using genomic data over pedigree data enhances breeding decisions for profitable and genetically diverse herds.

Keywords:
CoancestryGenomic indexOptimized matingRecessive haplotypesSexed semen

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Area of Science:

  • Animal Breeding and Genetics
  • Genomic Selection
  • Livestock Management

Background:

  • Montbéliarde cattle genotyping increased significantly from 2012-2018.
  • Genomic data provides estimated breeding values and carrier status for genetic defects.
  • This information aids farmers in mating decisions to maximize herd profit.

Purpose of the Study:

  • Compare mating allocation strategies for genetic gain and inbreeding control.
  • Assess the benefit of genomic versus pedigree information in mating plans.
  • Evaluate the impact of constraints like semen type and coancestry limits.

Main Methods:

  • Compared random mating (RAND), sequential mating (gSEQ), and linear programming (gLP) strategies.
  • Utilized genomic and pedigree data from 160 Montbéliarde herds.
  • Incorporated genetic merit, inbreeding, and lethal allele risks into mating optimization.

Main Results:

  • Genomic information improved progeny genetic merit, diversity, and reduced lethal allele risks compared to pedigree data.
  • Linear programming with an 8.5% coancestry limit reduced average coancestry with minimal impact on Net Merit.
  • Semen type and bull usage constraints influenced the effectiveness of mating allocation algorithms.

Conclusions:

  • Genomic information is more efficient than pedigree information for maximizing genetic gain while managing inbreeding and lethal allele risks.
  • Optimized mating allocation using genomic data and coancestry constraints enhances herd profitability and genetic diversity.
  • Semen type and bull usage constraints are critical factors in mating allocation for sustainable genetic improvement.