Title:	Can long-term survival models improve inference in seed germination studies? evidence from tropical forest species.
Authors:	MARTINS FILHO, S. DUARTE, M. L. ALMEIDA, L. S. de ATAÍDE, G. da M. DANTAS, B. F.
Affiliation:	SEBASTIÃO 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.
Date Issued:	2026
Citation:	Annals of Botany, June, 2026.
Description:	Seed 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.
Thesagro:	Floresta Tropical Semente
NAL Thesaurus:	Tropical forests
Keywords:	Germinação de semente
DOI:	https://doi.org/10.1093/aob/mcag175
Notes:	On-line.
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CPATSA)