Skip to main content

Advertisement

Table 1 List of genomic selection studies based on real data sets conducted on forest tree species. Studies are listed in chronological order of publication. This study is the last one listed

From: Performance of genomic prediction within and across generations in maritime pine

Species Population Genotyping Traits analyzed Models Prediction accuracy Reference
Size Family type Family size G Method Number of markers
Eucalyptus hybrids 738 43 FS 15 to 23 1 DArT array 3129 Growth, wood properties RR-BLUP 0.54–0.6 [26]
920 51 FS 10 to 15 1 DArT array 3564 0.38–0.55
Loblolly pine 790–840 61 FS - 1 SNP array 4852 Growth RR-BLUP 0.63–0.75 [51]
Loblolly pine 951 61 FS 15 ± 2.2 1 SNP array 4825 Growth, tree architecture, wood properties, disease resistance RR-BLUP, Bayes A, Bayes Cπ, B-LASSO, RR-BLUP B 0.17–0.51 [52]
Loblolly pine 149 13 FS 1 to 34 1 SNP array 3406 Growth, wood properties RR-BLUP 0.30–0.83 [75]
Loblolly pine 165 9 FS 3 to 37 1 SNP array 3461 Growth ABLUP, GBLUP 0.37–0.74 [71]
White spruce 1694 214 HS - 1 SNP array 6385 Growth, wood properties ABLUP, B-RR, B-LASSO 0–0.44 [24]
White spruce 1748 59 FS 25 to 33 1 SNP array 6932 Growth, wood properties ABLUP, B-RR, Combined 0.33–0.45 [60]
Loblolly pine 956 61 FS 15 ± 2.2 1 SNP array 4825 Growth, tree architecture ABLUP, RR-BLUP 0.17–0.51 [57]
Maritime pine 661 191 HS 1 to 13 2 SNP array 2500 Growth, stem straightness GBLUP, B-RR, B-LASSO 0.09–0.73 [25]
Interior spruce 1126 25 HS <32 1 GBS 8868–62,198 Growth, wood properties RR-BLUP, GRR 0.34–0.77 [61]
Interior spruce 769 25 HS - 1 GBS 34,570–50,803 Growth RR-BLUP, GRR, Bayes Cπ 0.04–0.55 [76]
Maritime pine 817 35 HS 13 to 34 3 SNP array 4332 Growth, stem straightness ABLUP, GBLUP, B-LASSO 0.24–0.94 This study
  1. FS full-sib family, HS half-sib family, G number of generations included in the study, GBS genotyping-by-sequencing method