Naslov
Discrimination between shade fish physiological profile based on blood biochemistry using statistical classification models

Autori
Čož-Rakovac, Rozelinda ; Strunjak-Perović, Ivančica ; Topić Popović, Natalija ; Šmuc, Tomislav ; Jadan, Margita ; Čolak, Slavica ; Lovrinov, Mario ; Milina, Ana ; Barišić, Josip

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

Izvornik
Book of Abstracts ; 46th Croatian & 6th International Symposium on Agriculture / Milan Pospišil - Zagreb : Agronomski fakultet Sveučilišta u Zagrebu, 2011, 173-176

ISBN
978-953-6135-73-8

Skup
46th Croatian & 6th International Symposium on Agriculture

Mjesto i datum
Opatija, Hrvatska, 14.02.2011. - 18.02.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
shade fish

Sažetak
Plasma biochemical profile was examined in cage cultured shade fish Argirosomus regius in order to evaluate physiological status and provide detailed picture of its seasonal changes. Biochemical procedures were employed to study trygliceride (TRIG), cholesterol (CHOL), total protein (TP), glucose (GLU), urea (BUN), inorganic phosphate (PHOS), calcium (Ca), creatine kinase (CK), lactate dehydrogenase (LDH), ammonia (NH3), magnesium (Mg), aspartate aminotransferase (AST), amylase (AMYL), alkaline phosphatase (ALKP), creatinine (CREA), gamma glutamyltransferase (GGT) and total bilirubin (TBIL). The results were evaluated through different statistical analyses. Conventional statistical methods do not provide solutions that meet the goals of the research, so machine learning methodology was used to construct and evaluate classifiers as well as to assess parameter (plasma metabolites and enzymes) importances with respect to the target variable (season). Two machine learning methods, decision tree algorithm and PARF - a new implementation of Random Forest algorithm were applied to the problem of seasonal fish population modelling based on blood samples data collected. These two methods were used in order to explain which combination of parameters best demonstrates the differences between examined seasonal groups through construction and evaluation of classifiers and using PARF approach to the assess the variable importances with respect to the target variable, i.e. season. It is evident that about half of the parameters (UREA, ALKP, NH3, CHOL, Ca, PHOS, GLU and CREA) have significant importance (i.e. exhibit significant differences between seasons) for seasonal discrimination models. From our classifier learning experiments it is evident that using only 2 (UREA, ALKP), out of 8 high importance ranking parameters (UREA, ALKP, NH3, CHOL, Ca, PHOS, GLU, CREA) is generaly enough to obtain high accuracy classsifiers, which suggests rather high correlation between parameters on a seasonal scale. We found that AST, Ca, TP, LDH, BUN, CREA, AMYL, CK, NH3 were increasing with elevation of water temperature (measured in March, May and July) while CHOL and ALP were decreasing at the same time. AST, TP, GLU are sensitive indicators ; a rise of their activity can be recognized during metabolic modification related to nutritive imbalance (occuring in the colder season) resulting in physiological dysfunction or cellular integrity. ALP is a splitting enzyme of terminal phosphatase groups from organic esters found mainly in the hepatocites. High values are indicative of liver, specifically biliary impairment. CREA and BUN levels can indicate other problems besides those intrinsic to the kidney such as prerenal problem. CHOL could be nutritionally related and it is possible that food intake are higher in the summer compared to the winter. Ca levels were lower in the period of cold water this might be due to perturbations in the hormones during that control Ca. Decrease ALP levels associated with conditions linked to the biliary tract. According to One Way Analysis of Variance (Sigma Statistical Software ver. 2.01), TRIG and LDH were not significantly different between seasons, while CHOL, BUN, Ca, NH3, AST, ALKP and CREA demonstrated significance in all sampling points. Three parameters (TP, PHOS, and AMYL) were significant between March-July and May-July ; while GLU, CK and GLU, Mg showed significance for period March-May and March-July, respectively.

Izvorni jezik
Engleski

Znanstvena područja
Veterinarska medicina, Poljoprivreda (agronomija), Biotehnologija

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