Claim · model-written summary
Flexible mixed models were interpreted as improving reliability of genetic evaluation.
- Taxon
- C. canephora
Coffea canephorae0 - Outcome
- reliability of genetic evaluatione0
- Direction
- improvee0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Flexible mixed model approaches improve the reliability of genetic evaluation and support resilience-oriented selection strategies in C. canephora”
Title
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)
- Method / resource M7 had the lowest AIC and BIC of evaluated models.
- Observation Plot-level heritability ranged from 0.64 to 0.68.
- Observation Genotype-mean heritability ranged from 0.84 to 0.86.
- Observation Repeatability was 0.89.
- Observation Selective accuracy ranged from 0.92 to 0.94.
- Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
- Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
- Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
- Observation A1 combined a high predicted genotypic value and elevated persistence index.
- Observation AD1 combined a high predicted genotypic value and elevated persistence index.