Table 4 Bias (± SE) of genomic breeding values in different scenarios of QTL number and percent of QTLs with dominance effect.

From: Consequences of ignoring dominance genetic effects from genomic selection model for discrete threshold traits

 

A

A + 10%D

A + 25%D

A + 50%D

A + 100%D

Normal distribution

 1000 QTL

445.7 ± 13.6a

454.7 ± 12.3a

481.3 ± 14.7b

553.6 ± 16.3c

590.4 ± 18.4d

 500 QTL

267.8 ± 10.2a

272.7 ± 11.3ab

283.0 ± 9.6b

302.6 ± 12.1c

344.7 ± 12.2d

 100 QTL

211.4 ± 7.4a

216.8 ± 9.5a

223.5 ± 10.3b

234.4 ± 11.2c

253.7 ± 11.7d

Uniform distribution

 1000 QTL

436.9 ± 12.7a

447.2 ± 12.4b

468.3 ± 13.5b

509.7 ± 14.7c

561.4 ± 16.0d

 500 QTL

259.5 ± 5.6a

267.3 ± 6.4a

283.0 ± 8.7b

302.6 ± 9.5b

331.4 ± 12.6c

 100 QTL

118.74 ± 4.1a

123.6 ± 6.3ab

131.7 ± 5.1b

144.1 ± 6.2c

149.5 ± 7.9c

Gamma distribution

 1000 QTL

424.7 ± 15.3a

445.6 ± 15.0b

483.2 ± 17.4c

539.7 ± 17.9c

605.7 ± 19.6d

 500 QTL

245.7 ± 7.2a

251.4 ± 8.1a

263.7 ± 8.1b

291.4 ± 9.2c

325.6 ± 5d

 100 QTL

139.5 ± 4.7a

144.5 ± 5.6ab

153.7 ± 6.6b

161.4 ± 6.0c

177.4 ± 7.4d

  1. Within rows, means with common superscript(s) are not different (P > 0.05).