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 language | English |
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Pages (from-to) | 209-217 |
Number of pages | 9 |
Journal | Acta Agriculturae Scandinavica, Section A - Animal Science |
Volume | 45 |
Issue number | 4 |
DOIs | |
Publication status | Published - Nov 1995 |
Keywords / Materials (for Non-textual outputs)
- COUNTRIES
- MILK
- POPULATIONS
- MODEL
- GENETIC EVALUATION
- DAUGHTER YIELD DEVIATIONS
- DAIRY SIRES
- DE-REGRESSED PROOFS