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Contemporary groups for genetic evaluations.

L D Van Vleck1

  • 1Department of Animal Science, Cornell University, Ithaca, NY 14853.

Journal of Dairy Science
|November 1, 1987
PubMed
Summary
This summary is machine-generated.

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Defining contemporary groups in genetic evaluations balances bias and prediction error. Careful consideration of these groups is crucial for accurate sire evaluation and maximizing genetic gain in animal breeding.

Area of Science:

  • Animal Breeding and Genetics
  • Quantitative Genetics
  • Statistical Genomics

Background:

  • Contemporary groups are essential for removing management-related biases in genetic evaluations.
  • However, numerous contemporary groups can lead to reduced effective daughter numbers and increased prediction error variance, impacting sire evaluation accuracy.

Purpose of the Study:

  • To evaluate the impact of contemporary group definition on genetic evaluations.
  • To explore methods for balancing bias and prediction error variance for improved genetic gain.

Main Methods:

  • Considering contemporary groups as fixed effects to remove bias.
  • Treating contemporary groups as random effects to increase effective daughter numbers.
  • Exploring alternative methods like transformations and multiple trait modeling to handle variance heterogeneity.

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Main Results:

  • Fixed contemporary groups minimize bias but may reduce effective daughter numbers.
  • Random contemporary groups increase effective daughter numbers but introduce potential bias.
  • Mean square error (bias squared + prediction error variance) offers a more comprehensive evaluation metric.

Conclusions:

  • The definition of contemporary groups significantly influences genetic evaluation outcomes.
  • A balance between bias and prediction error variance is necessary for optimal genetic gain.
  • Advanced statistical methods are needed to address the complexities of variance heterogeneity in genetic evaluations.