Prospects for genomic selection in conifer breeding: a simulation study of Cryptomeria japonica

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Breeding trees resistant to insects and diseases: putting theory into application (2017, methodology): “other animal breeding programs (Hayes and Goddard 2010) and has been successful in crop breeding programs (Lorenzana and Bernardo 2009), in forest trees such strategies have only been tested in simulation studies (Grattapaglia and Resende 2011; Iwata et al. 2011) and preliminary trials (Zapata-Valen”
Genomic Selection for Forest Tree Improvement: Methods, Achievements and Perspectives (2020, background): “Similar results were obtained in a simulation in conifers (Cryptomeria japonica): efficient GS was achieved with one marker per cM [25].”
Potential for evolutionary responses to climate change – evidence from tree populations (2013, methodology): “Alternatively, genomic selection methods could be used to build predictive models that do not need to identify the particular loci underlying adaptive genetic responses (Grattapaglia & Resende, 2011; Iwata et al., 2011; Holliday et al., 2012; Resende et al., 2012).”