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Table 5 Accuracy of genomic selection

From: Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures

Generation

 

Unequal

Equal

 

Model

Low

High

Low

High

1

     
 

BM 1

0.47 (0.04)

0.37 (0.01)

0.31 (0.02)

0.35 (0.02)

 

BM 5

0.48 (0.04)

0.32 (0.01)

0.31 (0.01)

0.33 (0.01)

 

PLSR 1

0.40 (0.02)

0.38 (0.01)

0.39 (0.01)

0.37 (0.02)

 

PLSR 5

0.37 (0.02)

0.35 (0.02)

0.35 (0.01)

0.35 (0.02)

 

GBLUP 1

0.38 (0.01)

0.37 (0.01)

0.35 (0.01)

0.36 (0.01)

 

GBLUP 5

0.35 (0.01)

0.35 (0.01)

0.32 (0.01)

0.35 (0.01)

 

BLUP

0.23 (0.02)

0.24 (0.02)

0.22 (0.01)

0.22 (0.01)

10

     
 

BM 1

0.08 (0.01)

0.12 (0.01)

0.15 (0.01)

0.14 (0.01)

 

BM 5

0.05 (0.02)

0.13 (0.02)

0.11 (0.01)

0.13 (0.01)

 

PLSR 1

0.08 (0.02)

0.11 (0.02)

0.15 (0.02)

0.15 (0.01)

 

PLSR 5

0.09 (0.01)

0.11 (0.02)

0.13 (0.02)

0.12 (<0.01)

 

GBLUP 1

0.08 (0.01)

0.14 (0.02)

0.14 (0.01)

0.14 (0.01)

 

GBLUP 5

0.08 (0.01)

0.13 (0.01)

0.15 (0.02)

0.15 (0.01)

 

BLUP

0.01 (0.02)

0.01 (0.03)

0.02 (0.03)

0.00 (0.03)

  1. Accuracy (standard deviation), after one and ten generations of selection in genetic architectures with a low number of QTL of unequal variance (column 3), a high number of QTL of unequal variance (column 4), a low number of QTL of equal variance (column 5) and a high number of QTL of equal variance (column 6); selection was on breeding values estimated with a Bayesian method (BM), partial least square regression (PLSR), genomic BLUP (GBLUP) or pedigree BLUP (BLUP); numbers 1 and 5 behind estimation methods indicate the number of generations used in the training population