Claim · model-written summary
Prediction accuracies of genomic estimated breeding values reached up to 0.70 for stem volume and stem straightness.
- Taxon
- loblolly pine
Pinus taedae0 - Outcome
- Prediction accuracies of genomic estimated breeding valuese1
- Value
- up to 0.70e1
- Qualifier
- stem volume and stem straightnesse1
Verbatim
e0“in loblolly pine (Pinus taeda)”
e1“Prediction accuracies of genomic estimated breeding values reached up to 0.70 for stem volume and stem straightness”
Title
Genomic selection validated across two generations of loblolly pine breeding
Fikret Isik; Mohammad Nasir Shalizi; Trevor D Walker G3 Genes Genomes Genetics 2026. doi:10.1093/g3journal/jkag122
Other claims from this paper (7)
- Association Prediction accuracy increased with the mean relatedness between training and validation populations (r > 0.92).
- Intervention effect Scaling the genomic and pedigree relationship matrices increased prediction accuracy.
- Intervention effect Scaling the genomic and pedigree relationship matrices reduced bias in genomic estimated breeding values.
- Intervention effect Scaling the genomic and pedigree relationship matrices improved model stability.
- Method / resource Heritability and variance component estimates from ssGBLUP were consistent with pedigree-based models, particularly when genomic relationships were scaled.
- Intervention effect Genomic selection gave approximately 50% more genetic gain per year than conventional selection.
- Recommendation Genomic selection can be effectively integrated into operational Pinus taeda breeding programs given sustained investment in training populations.