Naslov
Blood biochemical approach in differentiation of Adriatic and Tyrrhenian mullet populations (Genus Mugil Linnaeus, 1758)

Autori
Čož-Rakovac, Rozelinda ; Fazio, Francesco ; Šmuc, Tomislav ; Topić Popović, Natalija ; Strunjak- Perović, Ivančica ; Sauerborn Klobučar, Roberta ; Piccione, Giuseppe ; Faggio, Caterina

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts, 48th CROATIAN AND 8th INTERNATIONAL SYMPOSIUM ON AGRICULTURE / Marić, S ; Lončarić, Z - Osijek : Poljoprivredni fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2013, 228-229

ISBN
978-953-7871-07-9

Skup
48th CROATIAN AND 8th INTERNATIONAL SYMPOSIUM ON AGRICULTURE

Mjesto i datum
Dubrovnik, Hrvatska, 17.02.2013. - 22.02.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Jadransko more; Tirensko more; cipal; krv; metoda strojnog učenja
(Adriatic Sea; Tyrrhenian Sea; mullet; blood; machine learning technique)

Sažetak
A comparative study of blood chemistry profile was conducted on two mullet (genus Mugil) populations from the Adriatic and Tyrrhenian Sea, which lived under different abiotic and biotic conditions. Specimens for the analysis have been caught on locations without any aquaculture activities. In both of analyzed groups, from the Adriatic (AM) and Tyrrhenian Sea (TM), the following parameters were monitored: blood plasma enzymes - aspartate and alanin aminotransferase (AST, ALT) and metabolites - triglycerides (TRIG) ; cholesterol (CHOL) ; glucose (GLU) and total proteins (TP). Significant difference was determined between biochemical parameters of two analyzed groups. Measured blood chemistry parameters were proved as good indicators of living conditions in different habitats. Classical statistical approaches were used for determination of dissimilarity in blood chemistry in relation to living conditions in different habitats. Machine learning technique was applied to generate classification model, and to find the importance, strength, mutual interactions or dependencies in analyzed blood chemistry parameters in the model, as well as to investigate reliability of particular parameters within the group.

Izvorni jezik
Engleski

Znanstvena područja
Veterinarska medicina, Poljoprivreda (agronomija), Biotehnologija

POVEZANOST RADA