Claim · model-written summary
PTW predicts yield in unseen environments with superior performance compared with genomic prediction models
- Taxon
- wheat
Triticum aestivume5 - Outcome
- performance when predicting yield in unseen environmentse1
- Direction
- superiore1
- Comparator
- genomic prediction modelse1
- Setting
- 48 year-locations in Europee1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e1“Compared to mere genomic prediction models, PTW demonstrates superior performance when predicting yield in unseen environments across 48 year-locations in Europe.”
e5“to predict wheat yield”
Title
Lukas Roth; Juan M Herrera; Lilia Levy Häner; et al. Journal of Experimental Botany 2026. doi:10.1093/jxb/erag085
Other claims from this paper (5)
- Observation PTW captures non-linear growth responses that vary with phenological stages
- Observation PTW identifies distinct response patterns associated with yield performance and stability
- Association Varieties with higher yield stability show reduced sensitivity to vapor pressure deficit around 1.5 kPa
- Association Varieties with higher yield stability show distinctive temperature responses during emergence and senescence
- Observation The learned response patterns enable retrospective and prospective yield predictions