Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1187905
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dc.contributor.authorMARTINS FILHO, S.
dc.contributor.authorDUARTE, M. L.
dc.contributor.authorALMEIDA, L. S. de
dc.contributor.authorATAÍDE, G. da M.
dc.contributor.authorDANTAS, B. F.
dc.date.accessioned2026-08-07T18:46:58Z-
dc.date.available2026-08-07T18:46:58Z-
dc.date.created2026-06-27
dc.date.issued2026
dc.identifier.citationAnnals of Botany, June, 2026.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1187905-
dc.descriptionSeed germination analysis often ignores temporal dynamics and non-germinating fractions, limiting biological inference. Conventional methods assume all seeds germinate, which is unrealistic for heterogeneous forest seed lots. Long-term survival (cure fraction) models offer a framework to address this limitation. This study uses seed germination of native Brazilian forest species to demonstrate the applicability and advantages of long-term modeling.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectGerminação de semente
dc.titleCan long-term survival models improve inference in seed germination studies? evidence from tropical forest species.
dc.typeArtigo de periódico
dc.subject.thesagroFloresta Tropical
dc.subject.thesagroSemente
dc.subject.nalthesaurusTropical forests
dc.description.notesOn-line.
riaa.ainfo.id1187905
riaa.ainfo.lastupdate2026-08-07
dc.identifier.doihttps://doi.org/10.1093/aob/mcag175
dc.contributor.institutionSEBASTIÃO MARTINS FILHO, UNIVERSIDADE FEDERAL DE VIÇOSA; MARCIEL LELIS DUARTE, UNIVERSIDADE FEDERAL DE VIÇOSA; LAUSANNE SORAYA DE ALMEIDA, UNIVERESIDADE FEDERAL DE VIÇSOA; GLAUCIANA DA MATA ATAÍDE, UNIVERSIDADE FEDERAL DE SÃO JOÃO DEL REI; BARBARA FRANCA DANTAS, CPATSA.
Appears in Collections:Artigo em periódico indexado (CPATSA)

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