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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