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Table 2 Pearson’s correlations between dEBVs and DGVs of 9 traits for different models using SNP markers only and combining SNP and CNV information

From: Genomic predictions combining SNP markers and copy number variations in Nellore cattle

 

BayesA

BayesA+CNV

Bayes B

BayesB+CNV

GBLUP

GBLUP+CNV

Trait

SNPsa

delb

All delc

Alld

SNPsa

delb

All delc

Alld

SNPsa

delb

All delc

Alld

BW

0.21 (±0.03)

0.22 (±0.02)

0.21 (±0.04)

0.24 (±0.02)

0.17 (±0.02)

0.23 (±0.02)

0.23 (±0.03)

0.22 (±0.06)

0.20 (±0.03)

0.20 (±0.02)

0.20 (±0.02)

0.20 (±0.04)

CW

0.12 (±0.01)

0.10 (±0.01)

0.10 (±0.01)

0.10 (±0.03)

0.15 (±0.01)

0.15 (±0.04)

0.13 (±0.04)

0.14 (±0.02)

0.15 (±0.04)

0.16 (±0.01)

0.14 (±0.04)

0.14 (± 0.05)

CY

0.23 (±0.03)

0.23 (± 0.04)

0.22 (±0.03)

0.20 (±0.02)

0.22 (±0.03)

0.19 (±0.02)

0.19 (±0.05)

0.19 (±0.02)

0.24 (±0.01)

0.22 (±0.01)

0.21 (±0.02)

0.22 (± 0.03)

MW

0.36 (±0.01)

0.34 (± 0.01)

0.33 (±0.02)

0.36 (±0.01)

0.34 (±0.01)

0.39 (± 0.02)

0.38 (±0.03)

0.38 (±0.03)

0.40 (±0.02)

0.39 (±0.01)

0.39 (±0.04)

0.40 (± 0.04)

MY

0.54 (±0.05)

0.53 (± 0.06)

0.50 (±0.03)

0.53 (±0.04)

0.51 (±0.04)

0.56 (±0.02)

0.54 (±0.04)

0.54 (±0.04)

0.54 (±0.03)

0.52 (±0.04)

0.50 (±0.02)

0.55 (± 0.02)

PW

0.38 (±0.02)

0.36 (±0.03)

0.34 (±0.05)

0.36 (±0.01)

0.37 (±0.03)

0.38 (±0.01)

0.34 (±0.04)

0.40 (±0.02)

0.38 (±0.04)

0.36 (±0.03)

0.32 (±0.03)

0.36 (± 0.05)

PWG

0.27 (±0.02)

0.24 (±0.04)

0.23 (±0.03)

0.23 (±0.03)

0.30 (±0.01)

0.26 (±0.02)

0.26 (±0.03)

0.26 (±0.04)

0.30 (±0.01)

0.26 (±0.03)

0.24 (±0.02)

0.27 (± 0.02)

PY

0.58 (±0.04)

0.58 (±0.03)

0.58 (±0.04)

0.58 (±0.04)

0.62 (±0.02)

0.57 (±0.02)

0.56 (±0.03)

0.58 (±0.05)

0.57 (±0.03)

0.59 (±0.04)

0.59 (±0.04)

0.59 (± 0.04)

WG

0.28 (±0.05)

0.22 (±0.04)

0.20 (±0.03)

0.21 (±0.05)

0.30 (±0.03)

0.21 (±0.03)

0.20 (±0.03)

0.22 (±0.06)

0.30 (±0.01)

0.22 (±0.04)

0.22 (±0.05)

0.22 (± 0.03)

  1. aOnly SNPs
  2. bSNPs and only common deletions with frequency greater than 5% were included in the model (55 CNVs)
  3. cSNPs and all deletions were included in the model (72 CNVs)
  4. dSNPs and all deletions and biallelic duplications (173 CNVs)