Unlocking genome-based prediction and selection in conifers: the key role of within-family prediction accuracy illustrated in maritime pine (Pinus pinaster Ait.)

Unlocking genome-based prediction and selection in conifers: the key role of within-family prediction accuracy illustrated in maritime pine (Pinus pinaster Ait.)

Abstract Key message Based on experimental and simulated data for maritime pine (Pinus pinaster Ait.) in a genomic selection context, our study reveals that the often-highlighted equivalence between genome-based and pedigree-based prediction accuracies of breeding values is associated with a zero ac...

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Bibliographic Details
Main Authors: Victor Papin, Gregor Gorjanc, Ivan Pocrnic, Laurent Bouffier, Leopoldo Sanchez
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Annals of Forest Science
Subjects:
Breeding programme
Genomic selection
Maritime pine
Progeny validation
Stochastic simulation
Within-family variability
Online Access:https://doi.org/10.1186/s13595-024-01269-0
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https://doi.org/10.1186/s13595-024-01269-0

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