Genomic selection in western redcedar: from proof of concept to operational application.

Autor: Gamal El-Dien O; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.; Pharmacognosy Department, Faculty of Pharmacy, Alexandria University, Alexandria, 21521, Egypt., Shalev TJ; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada., Yuen MMS; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada., Van der Merwe L; British Columbia Ministry of Forests, Victoria, BC, V8W 9E2, Canada., Kirst M; School of Forest, Fisheries and Geomatic Sciences, University of Florida, Gainesville, FL, 32603, USA., Yanchuk AD; British Columbia Ministry of Forests, Victoria, BC, V8W 9E2, Canada., Ritland C; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.; Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada., Russell JH; British Columbia Ministry of Forests, Victoria, BC, V8W 9E2, Canada., Bohlmann J; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.; Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.; Department of Botany, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Jazyk: angličtina
Zdroj: The New phytologist [New Phytol] 2024 Oct; Vol. 244 (2), pp. 588-602. Date of Electronic Publication: 2024 Aug 06.
DOI: 10.1111/nph.20022
Abstrakt: Forests face many threats. While traditional breeding may be too slow to deliver well-adapted trees, genomic selection (GS) can accelerate the process. We describe a comprehensive study of GS from proof of concept to operational application in western redcedar (WRC, Thuja plicata). Using genomic data, we developed models on a training population (TrP) of trees to predict breeding values (BVs) in a target seedling population (TaP) for growth, heartwood chemistry, and foliar chemistry traits. We used cross-validation to assess prediction accuracy (PACC) in the TrP; we also validated models for early-expressed foliar traits in the TaP. Prediction accuracy was high across generations, environments, and ages. PACC was not reduced to zero among unrelated individuals in TrP and was only slightly reduced in the TaP, confirming strong linkage disequilibrium and the ability of the model to generate accurate predictions across breeding generations. Genomic BV predictions were correlated with those from pedigree but displayed a wider range of within-family variation due to the ability of GS to capture the Mendelian sampling term. Using predicted TaP BVs in multi-trait selection, we functionally implemented and integrated GS into an operational tree-breeding program.
(© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.)
Databáze: MEDLINE
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