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Distinguishing wild and farm‐raised freshwater fish through fatty acid composition: Application of statistical tools

Author:
Carbonera, Fabiana, Santos, Hevelyse Munise Celestino dos, Montanher, Paula Fernandes, de Almeida Schneider, Vanessa Vivian, Lopes, Ana Paula, Visentainer, Jesuí Vergílio
Source:
European journal of lipid science and technology 2014 v.116 no.10 pp. 1363-1371
ISSN:
1438-7697
Subject:
aquaculture, cluster analysis, fatty acid composition, fish production, freshwater fish, principal component analysis, surveys, wild fish, Brazil
Abstract:
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.
Agid:
822532