Canadian Forest Service Publications

Increasing genomic prediction accuracy for unphenotyped full-sib families by modeling additive and dominance effects with large datasets in white spruce. 2023, Nadeau, S.; Beaulieu, J.; Gezan, S.A.; Perron, M.; Bousquet, J.; Lenz, P. Frontiers volume 14, page 1-24.

Year: 2023

Issued by: Laurentian Forestry Centre

Catalog ID: 40924

Language: English

Availability: PDF (request by e-mail)

Available from the Journal's Web site.
DOI: 10.3389/fpls.2023.1137834

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Genomic selection is becoming a standard technique in plant breeding and is now being introduced into forest tree breeding. Despite promising results to predict the genetic merit of superior material based on their additive breeding values, many studies and operational programs still neglect non-additive effects and their potential for enhancing genetic gains.