Morphological traits for allometric scaling of the European Sea Bass Dicentrarchus labrax (Linnaeus, 1758) from Southern Portugal population.

The present study aimed to determine the allometric scaling among a selection of morphological traits in European sea bass (Dicentrarchus labrax), to estimate fish body weight. A set of morphological traits (fish body weight, length, height and width) were directly measured in 146 fish of a recirculating aquaculture system, with body weights ranging from 17.11 to 652.21g. In addition, a collection of digital imagery of each anesthetised fish from the side and top views were used to estimate other traits (indirect measures). Multiple regression analysis and regression coefficients were calculated using all possible combinations of biometric data (predictors) to estimate fish body weight, applying different numerical fitting models (linear, log-linear, quadratic, exponential). Results showed that the best combination of traits for estimating fish body weight were fish body width, length and height, collected from direct measure (R = 0.995), for a log-linear model fitting, which revealed more accurate determinations than the most commonly used length-weight relationship. Nevertheless, other combinations of morphological traits and fitting models were also found to be suitable in successfully predict fish body weight, with variability ranging between 92.5% and 98.5%. For indirect measures, the best predictor was a combination of traits from top view (width, eye distance and area without fins) fitted with a log-linear function. These results comprise a relevant baseline in supporting the high potential of non-invasive methods to accurately follow the growth of European sea bass juveniles, recurring to imagery analysis of anesthetised fish. It has major potential applications in feeding consumption trials and fish growth models, as it allows for continuously following-up fish growth under different experimental conditions without therein distress derived from manipulation. This article is protected by copyright. All rights reserved.