Computing Algorithms for Sire Evaluation with All Lactation Records and Natural Service Sires

Abstract

Models for sire evaluation by best linear unbiased prediction procedures which consider all lactation records, an environmental correlation among paternal half-sisters in the same herd, herd-year-season effects, genetic groups, and sires within groups are described. The computing algorithms are outlined briefly. Attention is drawn to a mimeographed publication of 46 pages (12) which describes in detail the computing algorithms for a model including an interaction between sire and herd (the environmental correlation) and a model which does not include the environmental correlation.