Received: 10-05-2022 / Accepted: 27-09-2022
In the presentpaper, we evaluate the ability to identify some marine fish species based on the analysis of morphological otoliths. Thestudy collected 180 sagitta of 10 species, then photographed, measured the basic sizeindices (BSI), and calculated the shape indices (ShI) in program R. Data were analyzed by standard statistical methods: ANOVA, Discriminant function analysis(DFA), and Canonical Analysis. The results of the analysis confirmed the possibility of using measurements of otolith morphology for the purpose of species identification. DFA based on basic measurements BSI could identify threespecies with 100% accuracy (18/18); threespecies with high accuracy from 77% to 95%. Based on the ShI shape index, 02 species can be identified with 100% accuracy (18/18); 03 species achieved high accuracy from 77% to 95%. When combining the basic measurements of BSI and ShI by DFA, the overall accuracy of the species was increased by 81.11%. The number of species with 100% accurate identification was increased to 4 species; 04 species achieved a high classification level from 77% to 95%.Result of this study showed that combiningBSI and ShI gave higest accuracy.