Claim · model-written summary
GBLUP slightly outperformed other genomic selection models.
- Taxon
- Pea
Lathyrus oleraceust0 - Outcome
- performed slightly bettere0
- Direction
- slightly bettere0
- Comparator
- other models trialede0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“GBLUP and Bayesian Reproducing kernel Hilbert spaces regression (RKHS) performed slightly better than the other models trialed”
t0“Pea”
Title
Genomic Selection for Ascochyta Blight Resistance in Pea
Margaret A. Carpenter; David S. Goulden; Carmel J. Woods; et al. Frontiers in Plant Science 2018. doi:10.3389/fpls.2018.01878
Other claims from this paper (6)
- Method / resource The best pea ascochyta score prediction accuracy was 0.56 using GBLUP, a mean score and a 70% data quality threshold.
- Method / resource RKHS slightly outperformed other genomic selection models.
- Method / resource Missing-data thresholds changed prediction accuracy minimally.
- Method / resource Prediction accuracy varied greatly among random training and testing partitions.
- Method / resource Marker by environment interactions did not improve accuracy for unphenotyped lines.
- Method / resource Marker by environment interactions improved prediction across environments.