Modeling the individual growth of the Pacific oyster Crassostrea gigas cultivated in the Gulf of California using the von Bertalanffy model
DOI:
https://doi.org/10.4067/S0718-19572017000100017Keywords:
Akaike Information Criterion, Seasonal growth model, Von BertalanffyAbstract
This study demonstrate the advantage of multi-model approach to calculate the growth of Crassostrea gigas cultivated in the Gulf of California. The generalized von Bertalanffy growth model (VBGM) and its modification to represent the seasonal variations (VBGM seasonal) were tested. The parameters of each model and their confidence intervals were computed using the maximum-likelihood method. The best-fitting model was selected using the Akaike information criterion (AIC). According to the AIC, the VBGM seasonal best described the growth of the C. gigas. The conclusion was that C. gigas exhibits a seasonal growth pattern under the cultivation conditions of the present study.
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