New Forests

, Volume 49, Issue 1, pp 143–158 | Cite as

A probabilistic model for tropical tree seed desiccation tolerance and storage classification

  • Fabieli Pelissari
  • Anderson Cleiton José
  • Marco Aurélio Leite Fontes
  • Antônio César Batista Matos
  • Wilson Vicente Souza Pereira
  • José Marcio Rocha Faria


Knowledge 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.


Seed storage behavior Forest seeds Orthodox Recalcitrant 



To the Coordination for the Improvement of Higher Education Personnel (CAPES), National Council for Scientific and Technological Development (CNPq), and Minas Gerais State Agency for Research and Development (FAPEMIG), geared to development support and execution of this research.


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Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  • Fabieli Pelissari
    • 1
  • Anderson Cleiton José
    • 1
  • Marco Aurélio Leite Fontes
    • 1
  • Antônio César Batista Matos
    • 2
  • Wilson Vicente Souza Pereira
    • 1
  • José Marcio Rocha Faria
    • 1
  1. 1.Departamento de Ciências FlorestaisUniversidade Federal de LavrasLavrasBrazil
  2. 2.Departamento de Ciências FlorestaisUniversidade Federal de ViçosaViçosaBrazil

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