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Table 3 Accuracy of genomic prediction for reproduction traits using different reference populations to predict 196 younger individuals of the XD population

From: Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs

Reference seta (size of reference population)

Method

Trait

NBA

TNB

XD (566)

GBLUP_80K

0.392

0.431

GBLUP_WGS

0.390

0.425

GBLUP_LD

0.396

0.435

GFBLUP_QTL

0.398

0.435

GFBLUP_GWAS

0.378

0.425

ssGBLUP_80K

0.441

0.465

ssGBLUP_WGS

0.439

0.457

ssGBLUP_LD

0.440

0.462

LM+XD (2207)

GBLUP_80K

0.387

0.439

GBLUP_WGS

0.407

0.454

GBLUP_LD

0.403

0.455

GFBLUP_QTL

0.407

0.458

GFBLUP_GWAS

0.429

0.494

ssGBLUP_80K

0.451

0.480

ssGBLUP_WGS

0.455

0.481

ssGBLUP_LD

0.453

0.483

LM (1641)

GBLUP_80K

0.121

0.214

GBLUP_WGS

0.204

0.275

GBLUP_LD

0.152

0.228

GFBLUP_QTL

0.163

0.232

GFBLUP_GWAS

0.221

0.282

  1. GBLUP_80K genomic BLUP based on the 80K SNP panel; GBLUP_WGS GBLUP based on imputed whole-genome sequencing (WGS) data; GBLUP_LD GBLUP based on WGS after LD pruning; GFBLUP_QTL genomic feature BLUP with a genomic feature matrix constructed based on QTL prior information; GFBLUP_GWAS genomic feature BLUP with a genomic feature matrix constructed based on GWAS prior information; ssGBLUP_80K, ssGBLUP_WGS, ssGBLUP_LD For ssGBLUP, the H matrix was constructed based on the different genomic relationship matrices of the 80K chip panel, WGS data and WGS data after LD pruning and termed ssGBLUP_80K, ssGBLUP_WGS and ssGBLUP_LD, respectively; NBA number of piglets born alive; TNB total number of piglets born
  2. aYorkshire population LM, XD or LM plus the XD reference population