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Genomic analysis accurately identifies purebred Yorkshire pigs by assessing breed composition. This method, using SNP data and gene haplotypes, refines breed purity verification and reduces reliance on traditional progeny testing for white coat color.

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Area of Science:

  • Animal Genetics
  • Genomic Selection
  • Swine Breeding

Background:

  • The Yorkshire breed mandates white coat color for purity, posing challenges for accurate breed verification.
  • Traditional methods like progeny testing are resource-intensive for confirming breed purity based on coat color.

Purpose of the Study:

  • To utilize genomic information for estimating breed composition in purebred Yorkshire pigs.
  • To develop and validate genomic tools for verifying Yorkshire breed purity, reducing reliance on phenotypic traits.

Main Methods:

  • Genotyping of approximately 60,000 single nucleotide polymorphisms (SNP) using the Illumina PorcineSNP60 BeadChip.
  • Development of SNP haplotypes for KIT and MC1R genes in reference breeds (Duroc, Hampshire, Landrace, Yorkshire, Pietrain).
  • Application of whole-genome SNP data in regression analyses to determine breed composition.

Main Results:

  • Haplotypes in the KIT region showed breed-specific patterns, with Yorkshire haplotypes also present in Landrace and Pietrain.
  • Haplotype analysis achieved a sensitivity of 0.93 and specificity of 0.75 for breed identification.
  • Regression analysis using whole-genome SNP data demonstrated high accuracy in estimating Yorkshire and Hampshire breed composition, with sensitivities of 0.96 and 0.58 respectively.

Conclusions:

  • Combined haplotype and regression analyses successfully identified 810 purebred Yorkshire sires from the Tes_York population.
  • Genomic information provides a powerful tool for assessing animal breed composition and verifying breed purity.
  • This genomic approach can significantly reduce the need for traditional progeny testing in swine breeding programs.