Genomic prediction based on data from three layer lines: a comparison between linear methods

Table 2 Accuracy ¹ of prediction of seven linear methods in seven training scenarios for line B1

BLUP: conventional BLUP using a pedigree based relationship matrix; G-BLUP: Genome-enabled Best Linear Unbiased Prediction (G-BLUP); RRBLUP: Ridge Regression BLUP; RRPCA: Ridge Regression with PCA reduction; BayesSSVS: Bayesian Stochastic Search Variable Selection; BayesC; ¹approximated SE of the accuracies of the genomic prediction models ranged from 0.096-0.102; ²for BLUP, only the analysis including the line itself was performed, because there are no pedigree relations between lines.

ISSN: 1297-9686