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Updated: May 21, 2026

Accurate and Phenol Free DNA Sexing of Day 30 Porcine Embryos by PCR
10:16

Accurate and Phenol Free DNA Sexing of Day 30 Porcine Embryos by PCR

Published on: February 14, 2016

Single-step methods for genomic evaluation in pigs.

O F Christensen1, P Madsen, B Nielsen

  • 1Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark. OleF.Christensen@agrsci.dk

Animal : an International Journal of Animal Bioscience
|June 22, 2012
PubMed
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Single-step genomic evaluation methods improve prediction accuracy for pig breeding values using marker information. An adjusted single-step method offers the best performance for both genotyped and non-genotyped animals.

Area of Science:

  • Animal Genetics
  • Quantitative Genetics
  • Genomic Selection

Background:

  • Traditional genetic evaluation relies on pedigree information.
  • Genomic Best Linear Unbiased Prediction (GBLUP) incorporates marker data.
  • Single-step methods integrate pedigree and marker data for enhanced accuracy.

Purpose of the Study:

  • Compare accuracies of predicted breeding values using various single-step methods, GBLUP, and pedigree-based methods.
  • Evaluate performance for daily gain and feed conversion ratio (FCR) in Danish Duroc pigs.
  • Investigate the impact of adjusting the genomic relationship matrix in single-step methods.

Main Methods:

  • Implemented and compared different single-step genomic evaluation methods.
  • Utilized pedigree, phenotype, and marker data for Danish Duroc pigs.

Related Experiment Videos

Last Updated: May 21, 2026

Accurate and Phenol Free DNA Sexing of Day 30 Porcine Embryos by PCR
10:16

Accurate and Phenol Free DNA Sexing of Day 30 Porcine Embryos by PCR

Published on: February 14, 2016

  • Applied univariate and bivariate models for genetic analyses.

    • Main Results:

    • Methods incorporating marker information (single-step and GBLUP) outperformed the pedigree-based method for genotyped animals.
    • Single-step methods provided more accurate predictions for non-genotyped animals.
    • The single-step method with an adjusted genomic relationship matrix showed superior accuracy compared to the original single-step method.

    Conclusions:

    • Marker information enhances prediction accuracy over traditional pedigree-based methods.
    • Single-step methods, unlike GBLUP, improve predictions for all animals (genotyped and non-genotyped).
    • Adjusting the genomic relationship matrix in single-step methods is recommended for optimal accuracy.