Some methods for genetic prediction require the inverse of large genomic variance-covariance matrices amongst individuals. We studied by simulation the predictive performance of approximate inverses of genomic matrices, relatively to the usual complete genomic matrix. The approximate inverses were easy to compute but accuracies dropped by up to 30% according to the studied genetic scenarios.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Genetic Improvement Programs: Selection using molecular information (Posters), , 468, 2014
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