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Table 1 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

0.531 (0.058)

0.552 (0.043)

0.629 (0.039)

  

b TBV,EBV b

1.017 (0.139)

0.848 (0.106)

0.722 (0.075)

 

haplotype

r TBV,EBV

0.534 (0.055)

0.561 (0.044)

0.626 (0.033)

  

b TBV,EBV

0.829 (0.066)

0.778 (0.049)

0.679 (0.029)

ULM

allelic

r TBV,EBV

0.560 (0.078)

0.617 (0.035)

0.641 (0.036)

  

b TBV,EBV

0.754 (0.106)

0.720 (0.092)

0.626 (0.070)

 

haplotype

r TBV,EBV

0.575 (0.076)

0.614 (0.040)

0.637 (0.035)

  

b TBV,EBV

0.711(0.071)

0.610 (0.041)

0.567 (0.029)

BLUP

allelic

r TBV,EBV

0.532 (0.061)

0.549 (0.042)

0.622 (0.042)

  

b TBV,EBV

1.143 (0.098)

1.178 (0.110)

1.376 (0.086)

  1. The heritability was 0.25. 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