Claim · model-written summary
Accuracy from prediction error variance was a useful indicator of genomic prediction accuracy.
- Outcome
- accuracy of predictione0
- Comparator
- accuracy of genomic breeding values from the prediction error variancee0
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionValueQualifier
Verbatim
e0“the accuracy of genomic breeding values from the prediction error variance derived from the mixed model equations is a useful indicator of the accuracy of prediction.”
Title
Development of Genomic Prediction in Sorghum
Colleen H. Hunt; Fred A. van Eeuwijk; Emma S. Mace; et al. Crop Science 2018. doi:10.2135/cropsci2017.08.0469
Other claims from this paper (5)
- Method / resource Marker-based relationship models had higher selection accuracy than pedigree-based models.
- Method / resource Marker data alone predicted sorghum genotypes absent from trials quite accurately.
- Association Prediction accuracy declined with decreasing genomic relatedness to the training population.
- Observation Four sorghum environments differed substantially in prediction accuracy and estimated breeding value composition.
- Recommendation The authors see considerable potential for genomic selection in sorghum breeding.