In dairy cattle, most of the genetic progress is being generated by the progeny testing of a large number of young bulls per year. Currently, artificial insemination (AI) organizations select young bulls on the basis of some parent average (PA) before progeny testing them in order to measure their genetic merit accurately (Meinert et al., 1997 ; Veirhout et al., 1998). Several studies have looked at the optimization of progeny-testing programs in terms of the number of bulls to sample and the size of daughter groups in order to maximize genetic gain and/or economic returns (Dekkers et al., 1996). However, each additional young sire being sampled leads to a substantial increase in investment (among others, purchase, housing, semen collection and storage and testing program costs). As suggested by Lohuis et al. (1992), it might be appropriate to look at better strategies to manage semen collection and culling of young sires before the release of their first official proof. The objective of this paper is to report on the relationship found between PA and first official proofs for three major traits as well as the observed probability of success.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 2002. Session 1, , 1.73, 2002
|Download Full PDF||BibTEX Citation||Endnote Citation||Search the Proceedings|
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.