Prediction model for early evaluation of skeletal quality in reared fish.

ESR4 Evaluation of skeletal anomalies requires a welldefined classification of the observed defects and an objective identification of the various types of defects d32 M40 Anatomical analysis of whole skeletons and data analysis will be embedded into the consolidated use of new generation analytic tools ie Kohonens SelfOrganizing Maps SOMs particularly suited for the analysis data that are nonlinear complex and characterized by internal redundancy or noise Together with ESR5 this will contribute to a better prediction and understanding of the phenomena leading to developmental osteological deformities