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Table 1 Estimates of heritability for different models and SNP densities for Streptococcus resistance in Nile tilapia

From: Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia (Oreochromus nilioticus)

Sub-set

Number of SNPs

GBLUP

BayesB

BayesC

BayesR

BayesS

\({h}^{2}\)

se

\({h}^{2}\)

se

\({h}^{2}\)

se

\({h}^{2}\)

se

\({h}^{2}\)

se

LD0.1

589

0.09

0.02

0.06

0.01

0.09

0.02

0.10

0.02

0.10

0.02

LD0.2

1544

0.16

0.03

0.17

0.02

0.18

0.02

0.17

0.02

0.18

0.02

LD0.3

3384

0.16

0.03

0.17

0.02

0.18

0.02

0.17

0.02

0.19

0.02

LD0.4

6229

0.19

0.03

0.22

0.02

0.21

0.03

0.20

0.03

0.23

0.02

LD0.5

10,004

0.19

0.03

0.22

0.03

0.21

0.03

0.19

0.03

0.23

0.02

LD0.6

14,563

0.19

0.03

0.22

0.03

0.21

0.03

0.19

0.03

0.23

0.03

LD0.7

19,873

0.19

0.03

0.25

0.03

0.23

0.03

0.19

0.03

0.23

0.03

LD0.8

25,693

0.18

0.03

0.24

0.03

0.25

0.02

0.19

0.03

0.23

0.03

LD0.9

32,077

0.17

0.03

0.23

0.03

0.26

0.03

0.17

0.02

0.23

0.03

Only LG

48,871

0.15

0.03

0.26

0.03

0.27

0.03

0.15

0.02

0.26

0.02

All SNPs

50,690

0.15

0.03

0.26

0.03

0.25

0.05

0.26

0.05

0.24

0.04

  1. The rows LD0.1 to LD0.9 represent the subsets obtained after pruning the SNPs based on LD values. For example: in subset “LD0.1” only one SNP in a pair or group of SNPs that had an LD value higher than 0.1 was kept
  2. se = standard error of the heritability (\({h}^{2})\)