Method / resourcemodel-written summary

M7 had the lowest AIC and BIC of evaluated models.

A claim from Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

M7 had the lowest AIC and BIC of evaluated models.

Taxon
Coffea canephoraCoffea canephorat0
Outcome
best fite0
Direction
loweste0
Qualifier
AIC and BICe0
Comparator
M7e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValue

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

Coffea canephora
Coffea canephora · TaxonKsd5 · CC0 · Wikimedia Commons ↗

Verbatim

e0

“The flexible model M7 (unstructured genetic covariance matrix with year-specific residual variances) provided the best fit (lowest AIC and BIC).”

✓ located verbatim in the source · abstract, characters 449–593
t0

“Coffea canephora”

✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Record rev-ead3ee03ed6ef8b1aa5cc4771ec2631f662dba1e0f3744fdc907ec49f272de14 · schema claims-v0.9 · position 1 in the model’s answer