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Table 2 Means, standard deviations (s.d.) and 95% confidence intervals (CI) of the Bootstrap distribution of Spearman correlations between predicted and observed phenotypes in the testing set

From: Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens

Whole genome methods

Method

Mean

s.d.

CI (95%)

E-BLUP

0.11

0.13

(-0.13, 0.35)

Bayes A

0.27

0.12

(0.04, 0.49)

RKHS

0.27

0.12

(0.03, 0.50)

Information gain using 2 classes (400 pre-selected SNPs) + RKHS

Quantile

Mean

s.d.

CI (95%)

0.15

0.33

0.12

(0.09, 0.56)

0.20

0.32

0.11

(0.10, 0.53)

0.25

0.36

0.11

(0.13, 0.57)

0.30

0.19

0.12

(-0.05, 0.42)

0.35

0.35

0.11

(0.12,0.55)

0.40

0.33

0.11

(0.10, 0.53)

Information gain using 3 classes (400 pre-selected SNPs) + RKHS

Quantile

Mean

s.d.

CI (95%)

0.15

0.32

0.11

(0.10, 0.54)

0.20

0.24

0.13

(-0.01, 0.48)

0.25

0.39

0.11

(0.16, 0.59)

0.30

0.19

0.12

(-0.05, 0.42)

0.35

0.20

0.12

(-0.04, 0.43)

0.40

0.16

0.12

(-0.08, 0.40)

  1. E-BLUP: Bayesian linear model; Bayes A: Bayesian regression on SNP; RKHS: reproducing kernel Hilbert spaces regression