Method / resourcemodel-written summary

Random genotype effects enabled Bayesian AMMI to accommodate additive and nonadditive relationship matrices.

A claim from Credible Intervals for Scores in the AMMI with Random Effects for Genotype · 2015

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Random genotype effects enabled Bayesian AMMI to accommodate additive and nonadditive relationship matrices.

Taxon
maizeZea mayse1
Outcome
accommodate the additive and nonadditive relationship matricese0
Comparator
additive and nonadditive relationship matricese0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionValueQualifier

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the choice of genotypes as random effects enabled the Bayesian AMMI to accommodate the additive and nonadditive relationship matrices”

✓ located verbatim in the source · abstract, characters 1517–1650
e1

“55 maize hybrids”

✓ located verbatim in the source · abstract, characters 710–726

Title

Credible Intervals for Scores in the AMMI with Random Effects for Genotype

Luciano Antonio de Oliveira; Carlos Pereira da Silva; Joel Jorge Nuvunga; et al. Crop Science 2015. doi:10.2135/cropsci2014.05.0369

Other claims from this paper (4)

Record rev-036734d6e5fe76ff390f4c6d52f52807bbd285dfd6cf0681906f290c9809367b · schema claims-v0.9 · position 4 in the model’s answer