Method / resourcemodel-written summary

The model accounting for extended host susceptibility and post-flowering spore density was most accurate for disease incidence, explaining 69% of its variation.

A claim from A risk infection simulation model for fusarium head blight of wheat · 2005

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model accounting for extended host susceptibility and post-flowering spore density was most accurate for disease incidence, explaining 69% of its variation.

Interactor
fusariumFusariumt0pathogen
Outcome
disease incidencee0
Direction
most accuratee0
Value
69%e0

Not reportedMaterialGeneCompoundOrgan / stageSecond interactorSecond interactor roleTreatmentComparatorSettingQualifier

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 ↗
Fusarium
Fusarium · Interactor · picture of the genus (one of its species)Public domain · Wikimedia Commons ↗

Verbatim

t0

“fusarium head blight of wheat”

✓ located verbatim in the source · title, characters 38–67
e0

“A model that uses a correction factor for extending host susceptibility and daily spore cloud density to account for post-flowering infections was the most accurate explaining 93% of the variation in disease severity and 69% of disease incidence according to regression analysis.”

✓ located verbatim in the source · abstract, characters 1080–1359

Title

A risk infection simulation model for fusarium head blight of wheat

Emerson M. Del Ponte; José Maurício C. Fernandes; Willingthon Pavan Fitopatologia Brasileira 2005. doi:10.1590/s0100-41582005000600011

Other claims from this paper (2)

Record rev-dd7a3a47a8869dca6fd155813d7c06a0bb1defdd95843a4ee418e67557bf6036 · schema claims-v0.9 · position 3 in the model’s answer