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Table 4 Bias (SE) of the predicted values for the youngest sires based on the different prediction methods

From: Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model

Trait

G-BLUP

Bayes-C

GBC

SCC

0.881 (0.111)

0.956 (0.120)

0.881 (0.109)

Fkg

1.275 (0.120)

1.326 (0.131)

1.259 (0.113)

Mkg

1.530 (0.146)

1.435 (0.136)

1.459 (0.136)

Pkg

1.506 (0.157)

1.410 (0.149)

1.461 (0.100)

  1. Bias: measured as the regression of daughter yield deviation on the predicted values
  2. SE: standard errors computed from 10,000 bootstrap samples
  3. G-BLUP: genomic BLUP using genomic-based relationship matrix; Bayes-C: a non-linear method that fits zero effects and normal distributions of effects for SNPs; GBC: an iterative method that fits a G-BLUP next to SNP effects with a Bayes-C prior
  4. SCC, somatic cell count; Fkg, fat yield, Mkg, milk yield; Pkg, protein yield
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Genetics Selection Evolution

ISSN: 1297-9686