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Sex discrimination of fishes by trace element content using a multivariate statistical approach

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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DOI: 10.1400/55346

Abstract

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.

Item Type:Article
ID Code:2200
Status:Published
Refereed:Yes
Uncontrolled Keywords:Linear principal component analysis (LPCA), linear discriminant analys (LDA), fish sex differentiation
Subjects:Area 07 - Scienze agrarie e veterinarie > AGR/20 Zoocolture
Area 13 - Scienze economiche e statistiche > SECS-P/13 Scienze merceologiche
Area 07 - Scienze agrarie e veterinarie > AGR/15 Scienze e tecnologie alimentari
Divisions:001 Università di Sassari > 01 Dipartimenti > Scienze zootecniche
001 Università di Sassari > 01 Dipartimenti > Chimica
001 Università di Sassari > 01 Dipartimenti > Scienze ambientali agrarie e biotecnologie agro-alimentari
Publisher:Clueb
ISSN:1971-4483
Deposited On:18 Aug 2009 10:07

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