Abstract
The reproducibility of a recently developed method for egg quality determination in gilthead seabream ( Sparus aurata) eggs was investigated with different broodstock fish and eggs from different stages of spawning time. The method uses activities of acid phosphatase, adenylate kinase, glucose-6-phosphatase, and transaldolase, and levels of amino acids, monosaccharides, and sialic acids as markers and multiple regression models to predict the egg quality. The method has general validity in the present study indicated by highly significant correlations obtained between calculated and experimentally obtained % prehatch survival. Moreover, highly significant correlations were found between predicted % prehatch survival and % posthatch survival. These methods were applied to Puntazzo puntazzo. The multiple regression models for egg quality determination in S. aurata were not useful in this species. However, multiple regression models adapted for P. puntazzo could predict the egg quality with a statistically high significance.
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