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Inheritance of cow durability for linear type traits.

D C Funk1, L B Hansen, D A Funk

  • 1Department of Animal Science, University of Minnesota, St. Paul 55108.

Journal of Dairy Science
|May 1, 1991
PubMed
Summary

Assessing cow durability through linear type traits reveals low heritability for score changes between parities. Genetic correlations indicate limited new information for sire ranking after the first lactation.

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Area of Science:

  • Animal breeding and genetics
  • Dairy cattle evaluation

Background:

  • Cow durability is crucial for dairy herd profitability.
  • Linear type traits are used by the Holstein Association for appraisal.
  • Understanding the inheritance of durability traits is essential for genetic improvement.

Purpose of the Study:

  • To assess the inheritance of cow durability using linear type traits.
  • To evaluate the change in type scores from first to second parity as a measure of durability.
  • To determine the genetic correlations between first parity scores, score changes, and fat-corrected milk (FCM).

Main Methods:

  • A multiple-trait mixed model was used to analyze final scores and 14 linear type traits.
  • Cow durability was defined as the change in type scores from first to second parity.
  • Analyses were conducted with and without requiring second parity scores.

Main Results:

  • Heritabilities for score changes ranged from 0% to 6% when second parity scores were required.
  • When second parity scores were not required, heritabilities for score changes were under 8%, except for udder depth (17%).
  • Genetic correlations between FCM and score changes varied, with some positive correlations between first lactation scores and score changes.

Conclusions:

  • Appraising cows after the first parity provides limited new information for ranking sires based on linear type traits.
  • Heritability estimates for cow durability traits (score changes) are generally low.
  • Genetic correlations suggest some relationships between type traits and production, but their utility for predicting durability changes needs further investigation.

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