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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