The Quantile Regression Mixed Growth Model Can Help to Improve the Productivity in Gilthead Sea Bream (Sparus aurata) and European Sea Bass (Dicentrarchus labrax) Growing in Marine Farms

Abstract

[EN] In this brief review, the evolution of Thermal-unit Growth Coefficient (TGC) is presented, from the initial model adapted to gilthead sea bream, until the Quantile TGC-Mixed Model. The two first adaptations were the effective temperature, and the quantile regression, that allowed the possibility of describing the evolution of weight distribution along the production cycle. The second adaptations consisted in considering the temperature seasonal curve and integrating the two growth exponents (1/3 and 2/3) in a mixed model. The final Quantile TGC-Mixed Model is a very interesting tool for evaluating production strategies in gilthead seabream and optimizing its economic profit, but each fish farm should have its own model in basis historical data