The validity of national genetic evaluations depends on the quality of input data, on the model of analysis as well as on the correctness of genetic evaluation software. A general strategy was developed to validate national breeding value prediction software: performances from a real data file are replaced with simulated ones, created from simulated fixed and random effects and residuals in such a way that BLUP estimates from the evaluation software must be equal to the simulated effects. This approach was applied to test-day observations analysed with a random regression animal model including a lactation curve described as a fixed polynomial regression on days in milk, and with genetic and permanent environment effects modelled using Legendre polynomials of order two. Residuals had heterogeneous variances and phantom parents groups were included. As expected, BLUP estimates and simulated effects were identical.

H. Leclerc, T. Druet, Vincent Ducrocq

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 27.04, 2006
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