We review genetic variance parameter estimation. We concentrate on non-Bayesian estimation. Bayesian methods will be covered in a companion paper by Professor Gianola. My prior belief is that his paper will be a tour-de-force. I am more interested in concentrating on obtaining appropriate data and fitting appropriate models rather than using a paradigm that insists on using prior beliefs however (in)substantial. Given the context it is interesting to review the progress in terms of previous Congresses.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 2002. Session 17, , 17.01, 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.