Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers

BMC Bioinformatics

Table 1 Correlation and regression coefficient of TBV on GEBV for various generations of the validation data.

Correlation between TBV and GEBV, and the regression coefficient (in brackets) of TBV on GEBV for each generation, and for all three generations combined, of the validation data for GS-BLUP, ICE and emBayesB. Unless indicated otherwise, the initial parameter estimates are γ = 0.01, $σ_{e}^{2} = (1 - h^{2}) σ_{y}^{2}$ and $λ = {(2 m γ / h^{2} σ_{y}^{2})}^{\frac{1}{2}}$ where $σ_{y}^{2} = 4.42$ is the total phenotypic variance in the training data. The true heritability was 0.3
^aGenerations of the validation data used.
^bInitial heritability assumed.
^cParameters in brackets are fixed at the initial values.
^dParameters in brackets are all estimated.
^eAll three generations combined.
^fCorrelation between TBV and GEBV.
^gRegression coefficient (in brackets) of TBV on GEBV.

ISSN: 1471-2105