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dc.contributor.authorARAÚJO, M. dos S.
dc.contributor.authorCHAVES, S. F. da S.
dc.contributor.authorSILVA, K. J. D. e
dc.contributor.authorDIAS, L. A. dos S.
dc.contributor.authorROCHA, M. de M.
dc.date.accessioned2023-03-23T18:51:08Z-
dc.date.available2023-03-23T18:51:08Z-
dc.date.created2023-03-23
dc.date.issued2023
dc.identifier.citationAgronomy Journal, p. 1-9, Feb. 2023. On line.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1152658-
dc.descriptionIn cowpea breeding, multi-environment trials are conducted to select lines withhigh yield. The occurrence of genetic and/or statistical imbalance is common inthese experiments, in addition to the possibility of (co)variance between genetic andnon-genetic effects. We explore the restricted maximum likelihood/best linear unbi-ased prediction features to select the model with the most appropriated covariancestructure and compare the results with the traditional model (homogenous variancesand no covariances).
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCaupi
dc.titleModeling covariance structures for genetic and non-genetic effectsin cowpea multi-environment trials.
dc.typeArtigo de periódico
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.thesagroVigna Unguiculata
dc.subject.thesagroRendimento
riaa.ainfo.id1152658
riaa.ainfo.lastupdate2023-03-23
dc.contributor.institutionMAURÍCIO DOS SANTOS ARAÚJO, UNIVERSIDADE FEDERAL DE VIÇOSA; SAULO FABRÍCIO DA SILVA CHAVES, UNIVERSIDADE FEDERAL DE VIÇOSA; KAESEL JACKSON DAMASCENO E SILVA, CPAMN; LUIZ ANTÔNIO DOS SANTOS DIAS, UNIVERSIDADE FEDERAL DE VIÇOSA; MAURISRAEL DE MOURA ROCHA, CPAMN.
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