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Table 2 Results from the prediction of the breeding values of the last generation using data from the next last generation as a function of the marker density

From: Genomic breeding value estimation using nonparametric additive regression models

Method

Model

 

Marker density

   

1 cM

0.5 cM

0.25 Cm

ELM

allelic

r TBV,EBV a

0.642 (0.074)

0.670 (0.029)

0.783 (0.025)

  

b TBV,EBV b

1.101 (0.125)

1.002 (0.073)

0.968 (0.023)

 

haplotype

r TBV,EBV

0.645 (0.064)

0.671 (0.028)

0.785 (0.023)

  

b TBV,EBV

1.024 (0.117)

0.982 (0.094)

0.921 (0.018)

ULM

allelic

r TBV,EBV

0.679 (0.091)

0.733 (0.029)

0.805 (0.018)

  

b TBV,EBV

0.937 (0.102)

0.886 (0.074)

0.865 (0.024)

 

haplotype

r TBV,EBV

0.692 (0.076)

0.747 (0.028)

0.810 (0.014)

  

b TBV,EBV

0.898 (0.085)

0.851 (0.058)

0.883 (0.026)

BLUP

allelic

r TBV,EBV

0.641 (0.067)

0.667 (0.029)

0.773 (0.029)

  

b TBV,EBV

1.070 (0.110)

1.147 (0.085)

1.219 (0.033)

  1. The heritability was 0.5. Average from 10 replicates. ELM and ULM denotes for equal lambda and unequal lambda method, respectively.
  2. a Correlation between true and estimated breeding value; standard deviations are in parenthesis
  3. b Regression of true on estimated breeding value; standard deviations are in parenthesis