Here, we perform cross-generational GS analysis on coastal Douglas-fir (Pseudotsuga menziesii), reflecting trans-generational selective breeding application. A total of 1321 trees, representing 37 full-sib F1 families from 3 environments in British Columbia, Canada, were used as the training population for (1) EBVs (estimated breeding values) of juvenile height (HTJ) in the F1 generation predicting genomic EBVs of HTJ of 136 individuals in the F2 generation, (2) deregressed EBVs of F1 HTJ predicting deregressed genomic EBVs of F2 HTJ, (3) F1 mature height (HT35) predicting HTJ EBVs in F2, and (4) deregressed F1 HT35 predicting genomic deregressed HTJ EBVs in F2. Ridge regression best linear unbiased predictor (RR-BLUP), generalized ridge regression (GRR), and Bayes-B GS methods were used and compared to pedigree-based (ABLUP) predictions. GS accuracies for scenarios 1 (0.92, 0.91, and 0.91) and 3 (0.57, 0.56, and 0.58) were similar to their ABLUP counterparts (0.92 and 0.60, respectively) (using RR-BLUP, GRR, and Bayes-B). Results using deregressed values fell dramatically for both scenarios 2 and 4 which approached zero in many cases. Cross-generational GS validation of juvenile height in Douglas-fir produced predictive accuracies almost as high as that of ABLUP. Without capturing LD, GS cannot surpass the prediction of ABLUP. Here we tracked pedigree relatedness between training and validation sets. More markers or improved distribution of markers are required to capture LD in Douglas-fir. This is essential for accurate forward selection among siblings as markers that track pedigree are of little use for forward selection of individuals within controlled pollinated families.

British Columbia Ministry of Forests Lands and Natural Resource Operations Victoria BC V8W 9C2 Canada

Département des sciences du bois et de la forêt Université Laval G1V 0A6 Québec QC Canada

Department of Biochemistry and Molecular Biology Oklahoma State University Stillwater OK 74078 3035 USA

Department of Forest and Conservation Sciences Faculty of Forestry The University of British Columbia 2424 Main Mall Vancouver BC V6T 1Z4 Canada

Department of Forest and Conservation Sciences Faculty of Forestry The University of British Columbia 2424 Main Mall Vancouver BC V6T 1Z4 Canada Scion 49 Sala Street Whakarewarewa Rotorua 3046 New Zealand Department of Genetics and Physiology of Forest Trees Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague Praha 6 165 21 Czech Republic

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