Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/29767
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dc.creatorPelissari, Fabieli-
dc.creatorJosé, Anderson Cleiton-
dc.creatorFontes, Marco Aurélio Leite-
dc.creatorMatos, Antônio César Batista-
dc.creatorPereira, Wilson Vicente Souza-
dc.creatorFaria, José Marcio Rocha-
dc.date.accessioned2018-07-25T20:45:28Z-
dc.date.available2018-07-25T20:45:28Z-
dc.date.issued2018-01-
dc.identifier.citationPELISSARI, F. et al. A probabilistic model for tropical tree seed desiccation tolerance and storage classification. New Forests, [S.l.], v. 49, n. 1, p. 143–158, Jan. 2018.pt_BR
dc.identifier.urihttps://link.springer.com/article/10.1007/s11056-017-9610-8pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/29767-
dc.description.abstractKnowledge of seed desiccation tolerance is fundamental for conservation and use of forest species. The protocol used for classification of seed desiccation tolerance and storage is time consuming and many times limited by the lack of information about optimum conditions for seed germination and treatments to overcome seed dormancy. This study evaluated 66 Brazilian tree species aiming to correlate seed characteristics with desiccation tolerance. For this purpose, a model was established to explain the relationship of tegument/seed mass ratio (SCR), seed mass, and water content of embryo + endosperm with desiccation tolerance. The principal component analysis showed the establishment of two groups, indicating the interaction between desiccation tolerance and seed characteristics. Recalcitrant seeds are more often associated with the water content of embryo + endosperm and water content of tegument + endocarp, while orthodox seeds are more associated with SCR and number of seeds per kilogram. The classification found using the model proposed was significantly correlated with desiccation tolerance and storage, with 92% confidence for the analyzed species. Seeds morphological characteristics can be used for prediction of desiccation tolerance and storage behavior; however, the use of a model that combines more variables increases the chance of accurate classification.pt_BR
dc.languageen_USpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceNew Forestspt_BR
dc.subjectSeed storage behaviorpt_BR
dc.subjectForest seedspt_BR
dc.subjectOrthodox seedspt_BR
dc.subjectRecalcitrant seedspt_BR
dc.titleA probabilistic model for tropical tree seed desiccation tolerance and storage classificationpt_BR
dc.typeArtigopt_BR
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