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Single-step genomic evaluation using multitrait random regression model and test-day data.

M Koivula1, I Strandén1, J Pösö2

  • 1Natural Resources Institute Finland (Luke), Green Technology, 31600 Jokioinen, Finland.

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|February 10, 2015
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Summary
This summary is machine-generated.

Test-day (TD) single-step genomic BLUP (ssGBLUP) is feasible for Nordic Red Dairy cows. This genomic evaluation method significantly improved prediction accuracy compared to traditional models, highlighting the need for optimal integration of genomic and pedigree data.

Keywords:
Nordic Red Dairy cowgenomic evaluationsingle stepsingle-step genomic BLUP (ssGBLUP)test-day model

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Area of Science:

  • Animal Breeding and Genetics
  • Quantitative Genetics
  • Dairy Cattle Evaluation

Background:

  • The integration of genomic relationships (G) with pedigree relationships (A) into a combined relationship matrix (H) is crucial for single-step genomic best linear unbiased prediction (ssGBLUP).
  • Evaluating the feasibility of using test-day (TD) phenotypic records within the ssGBLUP framework is essential for improving genetic evaluations in dairy cattle.

Purpose of the Study:

  • To assess the feasibility of implementing test-day (TD) single-step genomic BLUP (ssGBLUP) in Nordic Red Dairy cattle.
  • To investigate the impact of weighting genomic and pedigree relationships on ssGBLUP performance, validation reliability, and regression coefficients.
  • To compare the predictive ability of TD ssGBLUP with traditional TD models lacking genomic information.

Main Methods:

  • Utilized phenotypic test-day records from Nordic Red Dairy cows.
  • Applied single-step genomic BLUP (ssGBLUP) by combining genomic relationships (G) and pedigree relationships (A) into a relationship matrix (H).
  • Performed a posteriori validation using deregressed proofs for 305-day milk, protein, and fat yields, assessing different weighting strategies for G and A.

Main Results:

  • The use of phenotypic TD records in ssGBLUP was demonstrated to be feasible.
  • TD ssGBLUP models yielded substantially higher validation reliabilities and regression coefficients compared to TD models without genomic data.
  • While different weighting methods for H did not significantly alter validation reliability, they influenced the inflation of genomic-enhanced breeding values.

Conclusions:

  • Test-day single-step genomic BLUP (ssGBLUP) is a viable and effective approach for genetic evaluations in dairy cattle.
  • ssGBLUP offers a significant improvement in prediction accuracy over traditional methods by incorporating genomic information.
  • Further research is needed to determine the optimal method for combining pedigree and genomic information within the H matrix for ssGBLUP to minimize bias in breeding values.