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Improving lodgepole pine genomic evaluation using spatial correlation structure and SNP selection with single-step GBLUP
Cappa, Eduardo Pablo; Ratcliffe, Blaise; Chen, Charles; Thomas, Barb R.; Liu, Yang; Klutsch, Jennifer G.; Azcona, Jaime Sebastian; Benowicz, Andy; Sadoway, Shane; Erlilgin, Nadir; El-Kassaby, Yousry A. (Springer Nature, 2022-02-18)Modeling environmental spatial heterogeneity can improve the efficiency of forest tree genomic evaluation. Furthermore, genotyping costs can be lowered by reducing the number of markers needed. We investigated the impact ... -
Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program
Cappa, Eduardo Pablo; Klutsch, Jennifer G.; Sebastian-Azcona, Jaime; Ratcliffe, Blaise; Xiaojing, Wei; Da Ros, Letitia; Yang, Liu; Chen, Charles; Benowicz, Andy; Sadoway, Shane; Mansfield, Shawn D.; Erbilgin, Nadir; Thomas, Barb R.; El-Kassaby, Yousry A. (Plos ONE, 2022-03)Tree improvement programs often focus on improving productivity-related traits; however, under present climate change scenarios, climate change-related (adaptive) traits should also be incorporated into such programs. ... -
Multiple-trait analyses improved the accurary of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine
Cappa, Eduardo Pablo; Chen, Charles; Klutsch, Jennifer G.; Azcona, Jaime Sebastián; Ratcliffe, Blaise; Wei, Xiaojing; Da Ros, Letitia; Ullah, Aziz; Liu, Yang; Benowicz, Andy; Sadoway, Shane; Mansfield, Shawn D.; Erbilgin, Nadir; Thomas, Barb R.; El-Kassaby, Yousry A. (BMC, 2022-07-23)Genomic prediction (GP) and genome-wide association (GWA) analyses are currently being employed to accelerate breeding cycles and to identify alleles or genomic regions of complex traits in forest trees species. Here, 1490 ...