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Blood biochemical approach in differentiation of Adriatic and Tyrrhenian mullet populations (Genus Mugil Linnaeus, 1758) (CROSBI ID 594952)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Čož-Rakovac, Rozelinda ; Fazio, Francesco ; Šmuc, Tomislav ; Topić Popović, Natalija ; Strunjak- Perović, Ivančica ; Sauerborn Klobučar, Roberta ; Piccione, Giuseppe ; Faggio, Caterina Blood biochemical approach in differentiation of Adriatic and Tyrrhenian mullet populations (Genus Mugil Linnaeus, 1758) // Book of Abstracts, 48th CROATIAN AND 8th INTERNATIONAL SYMPOSIUM ON AGRICULTURE / Marić, S ; Lončarić, Z (ur.). Osijek: Poljoprivredni fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2013. str. 228-229

Podaci o odgovornosti

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

engleski

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

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.

Adriatic Sea; Tyrrhenian Sea; mullet; blood; machine learning technique

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Podaci o prilogu

228-229.

2013.

objavljeno

Podaci o matičnoj publikaciji

Book of Abstracts, 48th CROATIAN AND 8th INTERNATIONAL SYMPOSIUM ON AGRICULTURE

Marić, S ; Lončarić, Z

Osijek: Poljoprivredni fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku

978-953-7871-07-9

Podaci o skupu

48th Croatian and 8th International Symposium on Agriculture.

predavanje

17.02.2013-22.02.2013

Dubrovnik, Hrvatska

Povezanost rada

Veterinarska medicina, Poljoprivreda (agronomija), Biotehnologija