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Table 3 Full-model posterior means of variance components using all SNPs ( m= 6,932), all individuals (n = 1,748), and deviance information criterion (DIC) for wood quality and growth traits

From: Genomic selection accuracies within and between environments and small breeding groups in white spruce

Trait Model* σ a 2 σ g 2 λ 2 σ e 2 DIC
ADEN FM-A 0.33 0.67 4558
  FM-RR 1.7 × 10−4 0.65 4493
  FM-RRA 0.19 1.4 × 10−4 0.58 4433
  FM-L 88 0.65 4491
  FM-LA 0.18 90 0.57 4431
AMFA FM-A 0.32 0.72 4660
  FM-RR 1.1 × 10−4 0.77 4679
  FM-RRA 0.21 7.5 × 10−5 0.69 4634
  FM-L 115 0.77 4275
  FM-LA 0.22 144 0.69 4633
HT17 FM-A 0.47 0.62 4608
  FM-RR 1.2 × 10−4 0.77 4740
  FM-RRA 0.37 5.4 × 10−5 0.61 4602
  FM-L 115 0.77 4739
  FM-LA 0.41 160 0.59 4577
DBH17 FM-A 0.29 0.76 4786
  FM-RR 9.1 × 10−5 0.83 4824
  FM-RRA 0.21 6.1 × 10−5 0.74 4769
  FM-L 134 0.83 4823
  FM-LA 0.23 158 0.72 4759
MSE   0.093 2.1 × 10−5 16.9 0.047  
  1. ADEN: average wood density; AMFA: average microfibril angle; HT17: 17-year height; DBH17: 17-year diameter at breast height.
  2. *FM-A: Full model - pedigree-based; FM-RR: Full model - ridge regression with marker data; FM-RRA: Full model - combined ridge regression with markers and pedigree data; FM-L: full model - the least absolute shrinkage and selection operator; FM-LA: full model – combined least absolute shrinkage and selection operator, and pedigree information.
  3. Mean standard error over models.