Claim · model-written summary
Marker density as low as 500 did not decrease prediction accuracy.
- Taxon
- spring wheat
Triticum aestivumt0 - Outcome
- prediction accuracye0
- Direction
- without decreasinge0
- Value
- 500e0
Verbatim
e0“marker density could be as low as 500 without decreasing the prediction accuracy”
t0“spring wheat”
Title
Charlotte Brault; Emily J. Conley; Andrew J. Green; et al. The Plant Genome 2025. doi:10.1002/tpg2.20559
Other claims from this paper (4)
- Method / resource Reproducing kernel Hilbert space was the best prediction method across settings with mean accuracy 0.63.
- Method / resource Training set optimization was useful for two traits.
- Method / resource Prediction of unrelated breeding populations significantly decreased accuracy, although some traits and populations retained encouraging values.
- Method / resource Adding the URSN population increased prediction accuracy up to 0.19 as the number of breeding-program training lines fell.