Claim · model-written summary
Predicted selection gains were slightly higher with MTM and RRM.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“In general, estimates of broad-sense heritability, selective accuracy, and predicted selection gains were slightly higher when obtained using MTM and RRM.”
t0“maize”
Title
Igor Ferreira Coelho; Marco Antônio Peixoto; Jeniffer Santana Pinto Coelho Evangelista; et al. PLoS ONE 2020. doi:10.1371/journal.pone.0242705
Other claims from this paper (6)
- Method / resource Selected MTM, RRM and CSM fit heterogeneous residuals.
- Method / resource RRM genetic effects were represented by second-order Legendre polynomials.
- Observation Maize hybrids showed genetic variability for grain yield.
- Method / resource Broad-sense heritability estimates were slightly higher with MTM and RRM.
- Method / resource Selective accuracy estimates were slightly higher with MTM and RRM.
- Recommendation Authors favored RRM for parsimonious analysis and prediction in untested environments.