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Cage culture effects on mullets (Mugilidae) liver histology and blood chemistry profile (CROSBI ID 140234)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Čož-Rakovac, Rozelinda ; Strunjak-Perović, Ivančica ; Topić Popović, Natalija ; Hacmanjek, Mato ; Šmuc, Tomislav ; Jadan, Margita ; Lipej, Zoran ; Homen, Zlatko Cage culture effects on mullets (Mugilidae) liver histology and blood chemistry profile // Journal of fish biology, 72 (2008), 10; 2557-2569. doi: 10.1111/j.1095-8649.2008.01865.x

Podaci o odgovornosti

Čož-Rakovac, Rozelinda ; Strunjak-Perović, Ivančica ; Topić Popović, Natalija ; Hacmanjek, Mato ; Šmuc, Tomislav ; Jadan, Margita ; Lipej, Zoran ; Homen, Zlatko

engleski

Cage culture effects on mullets (Mugilidae) liver histology and blood chemistry profile

A comparative study of blood chemistry and histology was conducted on two groups of mullet Mugil spp. living under different conditions with different feed sources. The aquaculture influenced mullet group (AIM), was collected near fish farms and the control group of mullet (CM) was caught in the waters without any aquaculture activities. Histological and biochemical procedures were employed to study liver histomorphology, plasma aspartate and alanine aminotransferase (AST, ALT), triglyceride (TRIG), cholesterol (CHOL), glucose (GLU) and total protein (TP) of both AIM and CM. Moderate histological changes (lipid infiltration) were observed in the liver of AIM. Significant changes in plasma variables were observed in AIM. Blood chemistry variables measured proved to be good indicators of artificial feed effects. Classical statistical approaches were applied to the blood chemistry and histopathology data. For the first time machine learning techniques were used to generate comprehensible classification models and to explore blood chemistry variable importance, strength, their mutual interactions or dependencies, and to investigate reliability of particular variables within the groups.

Adriatic sea ; blood chemistry ; cage culture ; histology ; machine learning techniques

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Podaci o izdanju

72 (10)

2008.

2557-2569

objavljeno

0022-1112

10.1111/j.1095-8649.2008.01865.x

Povezanost rada

Biologija, Veterinarska medicina, Poljoprivreda (agronomija)

Poveznice
Indeksiranost