Claim · model-written summary
The GxE model had prediction accuracy as high as G+E and better than G+E depending on the environment or training population composition.
- Outcome
- prediction accuracye0
- Direction
- as high ase0
- Qualifier
- depending on the environment or the composition of the training populatione0
- Comparator
- G+Ee0
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValue
Verbatim
e0“The GxE model has a prediction accuracy as high as that of G+E, and even predicted better than G+E depending on the environment or the composition of the training population”
Title
Ange Fouabi HAL (Le Centre pour la Communication Scientifique Directe) 2020
Other claims from this paper (5)
- Method / resource Multi-environment models had better prediction accuracy than the single environment model.
- Method / resource Both multi-environment models had higher prediction accuracy than the single environment model when accessions were tested in at least one environment (CV2) rather than in none (CV1).
- Association Prediction accuracy was strongly correlated with trait heritability and increased when the environments were correlated with each other.
- Intervention effect Integrating environmental co-factors in the GxE model improved prediction accuracy.
- Recommendation In limited conditions CV2 sampling is the most appropriate for genomic predictions with multi-environment models.