Observationmodel-written summary

Principal component analysis and hierarchical clustering revealed distinct clustering patterns among Japanese accessions.

A claim from Diversity of Phenological Characteristics and Fruit Quality of the Chinese Honeyberry (Lonicera caerulea L.) Collection · 2026

Observationobservedoriginal resultmeasured

Claim · model-written summary

Principal component analysis and hierarchical clustering revealed distinct clustering patterns among Japanese accessions.

Taxon
Lonicera caerulea L.Lonicera caeruleat0
Material
Japanese accessionse0
Outcome
distinct clustering patternse0

Not reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Lonicera caerulea
Lonicera caerulea · TaxonOpioła Jerzy (Poland) · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e0

“Principal component analysis and hierarchical clustering revealed distinct clustering patterns among Japanese accessions”

✓ located verbatim in the source · abstract, characters 1053–1173
t0

“Lonicera caerulea L.”

✓ located verbatim in the source · title, characters 87–107

Title

Diversity of Phenological Characteristics and Fruit Quality of the Chinese Honeyberry (Lonicera caerulea L.) Collection

Hao Yang; Xiaohui Zhang; Caihong Yu; et al. Agriculture 2026. doi:10.3390/agriculture16030291

Other claims from this paper (11)

Record rev-c1a4fdb8a46a90d4d367245205ef42b114edcd298216203dad8746ea595c2756 · schema claims-v0.9 · position 10 in the model’s answer