For dairy cattle evaluation systems that use an anim al model, algorithm s are needed that aim for a maximum reduction in computing time. D ifferent data sets m ay vary in convergence rate for solving equations. In West Germ any, herds generally are sm all, which allows block inversion of equations for a system structured by herds. Using this strategy, a rapid rate o f convergence was observed for data sets of 67,953 and 190,842 cows. If starting values w ere used, 35 rounds o f iteration w ere sufficient. Use of starting values was m ore im portant for larger data sets. Partial exclusion of pedigree inform ation had little im pact on convergence rate.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume XIII. Plenary lectures, molecular genetics and mapping, selection, prediction and estimation., , 378–381, 1990
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