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Distinguishing wild and farm‐raised freshwater fish through fatty acid composition: Application of statistical tools
Author(s) -
Carbonera Fabiana,
Santos Hevelyse Munise Celestino dos,
Montanher Paula Fernandes,
de Almeida Schneider Vanessa Vivian,
Lopes Ana Paula,
Visentainer Jesuí Vergílio
Publication year - 2014
Publication title -
european journal of lipid science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.614
H-Index - 94
eISSN - 1438-9312
pISSN - 1438-7697
DOI - 10.1002/ejlt.201300339
Subject(s) - aquaculture , freshwater fish , fish farming , fish <actinopterygii> , composition (language) , biology , fishery , ordination , principal component analysis , fatty acid , ecology , mathematics , statistics , biochemistry , linguistics , philosophy
Brazil stands out on the world stage as having the greatest variety of freshwater fish and great aquaculture potential due to a number of factors favorable to fish production. In order to classify fish according to their fatty acid composition and origin (wild vs. farm‐raised), a survey of data from native Brazilian freshwater fish was conducted. These data were subjected to statistical analyses (principal component analysis [PCA], cluster analysis, as well as ordination by nonmetric multidimensional scaling [NMDS]), where wild and farm‐raised fish separated into distinct groups. A combination of higher total HUFA, higher n‐3, lower n‐6, and lower n‐6/n‐3 can be used as qualifying factors of wild fish and the association of lower n‐3, higher total DUFA, higher n‐6, and higher n‐6/n‐3 ratio can qualify the farm‐raised fish. Brazil stands out on the world stage as having the greatest variety of freshwater fish and great aquaculture potential due to a number of factors favorable to fish production. In order to classify fish according to their fatty acid composition and origin (wild vs. farm‐raised), a survey of data from native Brazilian freshwater fish was conducted.