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

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 accuracy of genome-based prediction within families, which can be attributed to the still insufficient size of the genomic training sets for conifers.

Keywords
Breeding programme; Genomic selection; Maritime pine; Progeny validation; Stochastic simulation; Within-family variability

Publication
Papin, V., Gorjanc, G., Pocrnic, I. et al. Unlocking genome-based prediction and selection in conifers: the key role of within-family prediction accuracy illustrated in maritime pine (Pinus pinaster Ait.). Annals of Forest Science 81, 52 (2024).
https://doi.org/10.1186/s13595-024-01269-0

Data and/or Code availability
The datasets generated during and/or analysed during the current study are available in the DATA INRAE repository: https://doi.org/10.57745/QYBKDE

Handling Editor
Ricardo Alia