Modeling the individual growth of the Pacific oyster Crassostrea gigas cultivated in the Gulf of California using the von Bertalanffy model

• Main Authors: Góngora Gómez, Andrés Martín, Aragón Noriega, E. Alberto, Domínguez-Orozco, Ana Laura, Villanueva Fonseca, Brenda Paulina
• Format: Article in Journal/Newspaper
• Language: Spanish
• Published: Universidad de Valparaíso 2019
• Subjects: Akaike Information Criterion; Seasonal growth model; Von Bertalanffy; Pacific; Crassostrea gigas; Pacific oyster
• Online Access: https://revistas.uv.cl/index.php/rbmo/article/view/1967

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. 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.