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Table 4 Reliability (%) of genomic predictions based on four datasets a with or without X chromosome markers, using different models b and averaged over 15 traits

From: Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers

Dataset

G(A)

G(A + X)

Gc(A + X)

G(A) + G(X)

G(A) + Pol

Gc(A + X) + Pol

54K_real

38.0

38.5

38.5

38.5

38.9

39.3

IMP_test

37.9

38.3

38.3

38.4

38.9

39.2

IMP_0.5ref

37.8

38.3

38.3

38.3

38.8

39.1

LD_real

33.0

33.5

33.6

33.6

35.5

35.9

  1. a54K_real: all animals with marker data from the 54K chip; IMP_test: for the test animals in genomic prediction, the 54K marker data were imputed from LD marker data; IMP_0.5ref: for half (randomly chosen) of the reference animals, the 54K marker data were imputed from LD marker data; LD_real: all animals had LD marker data without extension to the 54K marker data; bG(A): model with a G matrix built using autosomal markers only; G(A + X): model with a G matrix built using all markers and treating X-specific markers as autosomal markers; Gc(A + X): model with a G matrix built using all markers and specifying sex-linked inheritance of X-specific markers; G(A) + G(X): model with an autosome G matrix and an X chromosome G matrix; G(A) + Pol: model G(A) plus a residual polygenic effect; Gc(A + X) + Pol: model Gc(A + X) plus a residual polygenic effect.