Pattern recognition of acorns from different Quercus species based on oil content and fatty acid profile

Authors

  • Suzana Ferreira-Dias Depart. Agro-Indústrias e Agronomia Tropical, Centro de Microbiologia e Indústrias Agrícolas
  • Dina G. Valente Depart. Agro-Indústrias e Agronomia Tropical, Centro de Microbiologia e Indústrias Agrícolas
  • José M.F. Abreu Depart. Produção Agrícola e Animal, Instituto Superior de Agronomia, Tapada da Ajuda

DOI:

https://doi.org/10.3989/gya.2003.v54.i4.224

Keywords:

Acorn, Cluster analysis, Discriminant analysis, Principal component analysis, Oil, Quercus

Abstract


The aim of this study was (i) to characterize different species of Quercus genus and (ii) to discriminate among them on the basis of the content and fatty acid composition of the oil in their fruits and/or their morphological aspects via pattern recognition techniques (Principal Component Analysis, PCA, Cluster Analysis, CA, and Discriminant Analysis, DA). Quercus rotundifolia Lam., Quercus suber L. and Quercus pyrenaica Willd., grown in the same stand in the centre of Portugal, were investigated.
When oil content and respective fatty acid composition were used to characterize samples, well-separated groups corresponding to each of the species were observed by PCA and confirmed by CA and DA. The ‘‘width’’ and ‘‘length’’ of acorns exhibited a low discriminant power. Acorns from Q. rotundifolia showed the highest average oil content followed by Q. suber and Q. pyrenaica acorns (9.1, 5.2 and 3.8%, respectively). Fatty acid profiles of Q. rotundifolia and Q. suber oils are similar to olive oil while the oil from Q. pyrenaica acorns is more unsaturated.

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Published

2003-12-30

How to Cite

1.
Ferreira-Dias S, Valente DG, Abreu JM. Pattern recognition of acorns from different Quercus species based on oil content and fatty acid profile. grasasaceites [Internet]. 2003Dec.30 [cited 2022Dec.7];54(4):384-91. Available from: https://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/224

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Section

Research

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