Giaccio, Mario and Di Giacomo, Franco and Franco, Mario Andrea and Del Caro, Alessandra and Sferlazzo, Gianvito and Pais, Antonio (1999) Sex discrimination of fishes by trace element content using a multivariate statistical approach. Journal of Commodity Science, Technology and Quality, Vol. 38 (2), p. 47-66. ISSN 1971-4483. Article.
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To discriminate the sex of fish species belonging to the same aquatic environment, 10 trace elements were determined. The data collected were successively elaborated using two multivariate statistical techniques: linear principal component analysis and linear discriminant analysis. LPCA did not allow us a good differentiation of fish samples, whereas LDA best discriminated all samples under study both for species and for sex. From a statistical analysis it has also been possible to observe that there were more important variables from an environmental pollution point of view which were inversely correlated to condition index, closely connected to the fishes’ physical conditions.
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