Claim · model-written summary
At training size 100, oil prediction accuracy was 0.79.
- Taxon
- soybean
Glycine maxe1 - Outcome
- oil contente0
- Value
- 0.79e0
- Qualifier
- training population size was 100e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“When the training population size was 100, the prediction accuracies for protein content and oil content were 0.60 and 0.79, respectively.”
e1“soybean protein and oil content”
Title
Bo Sun; Rui Guo; Zhi Liu; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1064623
Other claims from this paper (6)
- Method / resource Oil content prediction accuracy exceeded protein content accuracy.
- Method / resource At training size 100, protein prediction accuracy was 0.60.
- Association Prediction accuracy increased with training population size.
- Association Phenotypically similar training populations gave better prediction accuracy.
- Association Genetically close training populations gave better prediction accuracy.
- Method / resource Including approximately 3,000 markers with the stated significance threshold gave greatest prediction accuracy for protein and oil.