Claim · model-written summary
Unstructured genetic covariance modeling gave the highest prediction accuracy.
- Taxon
- oat
Avena sativat0 - Outcome
- prediction accuracye0
- Direction
- higheste0
- Comparator
- unstructured covariance modele0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“In the multi-environment trial, multi-trait models with omics data outperformed both counterpart multi-trait GBLUP models and single-environment omics models, and the highest prediction accuracy was achieved when modeling genetic covariance as an unstructured covariance model.”
t0“oat”
Title
Haixiao Hu; Malachy T. Campbell; Trevor H. Yeats; et al. Theoretical and Applied Genetics 2021. doi:10.1007/s00122-021-03946-4
Other claims from this paper (10)
- Method / resource In a single environment, transcriptomic BLUP (T) exceeded GBLUP prediction accuracy for 5 traits.
- Method / resource In a single environment, metabolomic BLUP (M) exceeded GBLUP prediction accuracy for 10 traits.
- Method / resource In a single environment, G + T exceeded GBLUP prediction accuracy for 11 traits.
- Method / resource In a single environment, G + M exceeded GBLUP prediction accuracy for 17 traits.
- Method / resource In a single environment, G + T + M exceeded GBLUP prediction accuracy for 17 traits.
- Method / resource Metabolites generally outperformed transcripts when combined with SNPs.
- Method / resource Multi-environment multi-trait omics models outperformed counterpart multi-trait GBLUP models.
- Method / resource Multi-environment multi-trait omics models outperformed single-environment omics models.
- Method / resource Omics-based locus prioritization with a two-kernel model improved prediction in a distantly related oat population.
- Recommendation Authors propose the two-kernel model to improve prediction accuracy for traits with known genetic architecture.