DEPENDENT-VARIABLES IN INTERNATIONAL SIRE EVALUATIONS

A SIGURDSSON*, G BANOS

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Stochastic simulation was used to assess the suitability of alternative dependent variables in international sire evaluation, Three such variables were considered: daughter yield deviations (DYD), national proofs (ETA), and de-regressed national proofs (DPRF). Data from two dairy cattle populations considering 10 generations were simulated. Genetic ties necessary for a joint evaluation of the two populations were established with bull exchange in each generation. De-regressed national proofs were the best and ETA were the worst in estimating genetic difference between the two populations and ranking bulls across country. Further, de-regressed national proofs can be easily computed and, contrary to DYD, are always available. De-regressed national proofs are recommended as dependent variables in across country sire evaluation.

Original languageEnglish
Pages (from-to)209-217
Number of pages9
JournalActa Agriculturae Scandinavica, Section A - Animal Science
Volume45
Issue number4
DOIs
Publication statusPublished - Nov 1995

Keywords / Materials (for Non-textual outputs)

  • COUNTRIES
  • MILK
  • POPULATIONS
  • MODEL
  • GENETIC EVALUATION
  • DAUGHTER YIELD DEVIATIONS
  • DAIRY SIRES
  • DE-REGRESSED PROOFS

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