This project synthesizes results from provenance testing, genetic progeny trials, genomics data, and climate change modeling to select the best adapted populations and genotypes for reforestation programs. Katharina Liepe
analyzed spatial patterns of phenotypic and genomic variation and identified adaptively unique populations that may be threatened by climate change. Laura Gray
evaluated the adaptive portfolio of Alberta breeding populations and developed practical recommendations for reforestation under uncertain future climates. Yingtong Wu
will synthesize quantitative genetic and genomics data for seed transfer prescriptions that address cliamte change.