Claim · model-written summary
For prediction, the choice of weighting scheme had a greater impact on performance than the choice of entry.
- Taxon
- sweetpotato
_Flower.jpg?width=60)
Ipomoea batatast0 - Outcome
- impact on performancee1
- Direction
- greatere1
- Comparator
- the choice of entrye1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_Flower.jpg?width=500)
Verbatim
e1“For prediction, however, the choice of weighting scheme had a greater impact on performance than the choice of entry”
t0“sweetpotato”
Title
Saulo Chaves; Reuben Ssali; José Tiago B. Chagas; et al. Theoretical and Applied Genetics 2026. doi:10.1007/s00122-026-05204-x
Other claims from this paper (6)
- Method / resource Using the full weight matrix and dABLUPs in second-stage models gave selections and genomic predictions closer to those of a single-stage model.
- Method / resource For selection, differences among second-stage models were minor.
- Method / resource For selection, second-stage models using dABLUPs as entries combined with the full weight matrix had a slight advantage.
- Method / resource Using the complete dataset, differences between entries in prediction were marginal.
- Method / resource For pool-specific predictions, dABLUPs provided the best performance.
- Recommendation The authors recommend using dABLUPs together with the full weight matrix when adopting a two-stage strategy for augmented trials.