Claim · model-written summary
The authors see considerable potential for genomic selection in sorghum breeding.
SorghumNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“This paper shows that there is considerable potential for sorghum breeding programs to benefit from the implementation of genomic selection.”
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.
- Method / resource Accuracy from prediction error variance was a useful indicator of genomic prediction accuracy.
- Observation Four sorghum environments differed substantially in prediction accuracy and estimated breeding value composition.