Claim · model-written summary
Rank correlation between the clones selected by the MTME models was high for DBH.
- Taxon
- eucalyptus clonest0
- Outcome
- Rank correlation between the clones selected by the MTME modelse1
- Value
- highe1
- Qualifier
- for DBHe1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Verbatim
t0“eucalyptus clones”
e1“Rank correlation between the clones selected by the MTME models was high for DBH but low for PP”
Title
Multi-trait multi-environment models for selecting high-performance and stable eucalyptus clones
Filipe Manoel Ferreira; Saulo Fabrício da Silva Chaves; Marco Antônio Peixoto; et al. Acta Scientiarum Agronomy 2023. doi:10.4025/actasciagron.v45i1.61626
Other claims from this paper (6)
- Method / resource The heteroscedastic MTME model had better fit and provided greater accuracy than the homoscedastic alternative among the two models fitted to eucalyptus clone data.
- Observation Genotype-by-environment interaction in the eucalyptus clones was complex.
- Observation Genetic correlation between DBH and pilodyn penetration in the eucalyptus clones was low.
- Observation Rank correlation between the clones selected by the MTME models was low for PP.
- Observation HMRPGV facilitated clone selection through simultaneous evaluation of stability, adaptability, and productivity.
- Recommendation The authors suggest the heteroscedastic MTME model with HMRPGV can be efficiently applied in genetic evaluation and selection of eucalyptus clones.