Claim · model-written summary
Phenotypically similar training populations gave better prediction accuracy.
- Taxon
- soybean
Glycine maxe1 - Material
- Training populations with similar phenotypee0
- Outcome
- prediction accuracye0
- Direction
- bettere0
Not reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Training populations with similar phenotype or with close genetic relationships to the prediction population exhibited better prediction accuracy.”
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.
- Method / resource At training size 100, oil prediction accuracy was 0.79.
- Association Prediction accuracy increased with training population size.
- 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.