@article {016,
title = {The Standard Error of the Estimated Purebred-Crossbred Genetic Correlation},
journal = {Proceedings of the World Congress on Genetics Applied to Livestock Production},
volume = {Genetic Improvement Programs: Breeding objectives, economics of selection schemes, and advances in selection theory},
year = {2014},
pages = {016},
abstract = {The purebred-crossbred genetic correlation (*r*_{pc}) is the key parameter determining the need for crossbred information. This work presents a simple equation for the standard error of the estimated *r*_{pc} for nested full-half sib schemes with common-litter effects. The result shows that the standard error of *r*_{pc} is determined by its true value, the number of sire families, and the accuracy of sire EBVs. Application to typical breeding schemes shows that the required number of sire families is large, usually exceeding 100, particularly when the numbers of dams per sire is small and common-litter effects are large. This work allows *a priori* optimization of data collection with the aim to estimate *r*_{pc}.**},
author = {Piter Bijma and John W.M. Bastiaansen}
}
**