Method / resourcemodel-written summary

PTW predicts yield in unseen environments with superior performance compared with genomic prediction models

A claim from Characterizing yield through wheat’s perception of chronological progression: a multi-omics plant time warping approach · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

PTW predicts yield in unseen environments with superior performance compared with genomic prediction models

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.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e1

“Compared to mere genomic prediction models, PTW demonstrates superior performance when predicting yield in unseen environments across 48 year-locations in Europe.”

✓ located verbatim in the source · abstract, characters 493–655
e5

“to predict wheat yield”

✓ located verbatim in the source · abstract, characters 296–318

Title

Characterizing yield through wheat’s perception of chronological progression: a multi-omics plant time warping approach

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)

Record rev-7d9e5860f6bbb972488d9b321b9f48499e3fa65081a99442fe68953b2dce4588 · schema claims-v0.9 · position 1 in the model’s answer