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Table 6 Genetic variance and genomic selection

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

Gen.

 

Unequal

Equal

 

Model

Low

High

Low

High

1

     
 

BM 1

-11.4 (5.1)

-14.5 (2.0)

-11.9 (2.1)

-15.0 (1.8)

 

BM 5

-7.2 (4.8)

-6.8 (2.2)

-9.5 (2.0)

-8.7 (2.3)

 

PLSR 1

-13.6 (4.0)

-14.8 (1.9)

-16.3 (1.9)

-15.6 (2.2)

 

PLSR 5

-12.2 (3.9)

-9.6 (2.3)

-11.9 (2.1)

-8.0 (2.3)

 

GBLUP 1

-14.6 (4.3)

-14.2 (1.7)

-17.0 (1.5)

-14.9 (2.2)

 

GBLUP 5

-10.5 (4.1)

-9.7 (2.5)

-14.8 (2.0)

-11.6 (1.5)

 

BLUP

-9.3 (4.4)

-11.9 (1.8)

-15.2 (1.9)

-11.8 (1.6)

 

RANDOM

0.4 (2.4)

-0.9 (1.7)

-1.6 (1.9)

2.5 (2.4)

10

     
 

BM 1

-70.6 (4.1)

-31.9 (2.6)

-30.6 (2.7)

-37.2 (2.4)

 

BM 5

-67.5 (4.7)

-31.0 (2.5)

-31.9 (1.9)

-33.8 (2.4)

 

PLSR 1

-57.9 (5.2)

-39.5 (3.2)

-39.2 (2.4)

-40.1 (2.3)

 

PLSR 5

-56.0 (7.3)

-37.9 (3.0)

-33.8 (2.9)

-36.9 (2.4)

 

GBLUP 1

-56.8 (4.5)

-19.2 (4.2)

-20.0 (2.9)

-26.4 (2.6)

 

GBLUP 5

-52.0 (5.2)

-18.8 (3.0)

-21.1 (3.1)

-25.8 (2.1)

 

BLUP

-18.7 (6.3)

-13.0 (3.7)

-9.5 (3.8)

-13.5 (3.5)

 

RANDOM

-7.4 (3.9)

2.1 (2.7)

-5.4 (2.9)

0.2 (2.7)

  1. Cumulative change (standard deviation) in genetic variance, after one and ten generations of selection (as a percentage of the genetic variance in the reference population) 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), or selection was at random (RANDOM); numbers 1 and 5 behind estimation methods indicate the number of generations used in the training population