Technical Note: Computing Strategies in Genome-Wide Selection

Author:

Legarra A.,Misztal I.

Publisher

American Dairy Science Association

Subject

Genetics,Animal Science and Zoology,Food Science

Reference14 articles.

1. Rate of convergence of the Gibbs sampler in the Gaussian case;Galli;Math. Geol.,2001

2. On a multivariate implementation of the Gibbs sampler;García-Cortés;Genet. Sel. Evol.,1996

3. Janss, L., and G. de Jong. 1999. MCMC based estimation of variance components in a very large dairy cattle data set. Pages 62–67 in Proc. Computational Cattle Breeding 1999, Tuusula, Finland. http://www-interbull.slu.se/bulletins/bulletin20/BUL20-9.pdf

4. Legarra, A., C. Robert-Granié, E. Manfredi, and J. M. Elsen. 2007. Does genomic selection work in a mice population? Pages 66–74 in Proc. XI QTLMAS (workshop on QTL and marker-assisted selection) 2007, Toulouse, France. http://germinal.toulouse.inra.fr/qtlmas/Accessed April 18, 2007.

5. Solving large test-day models by iteration on data and preconditioned conjugate gradient;Lidauer;J. Dairy Sci.,1999

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