Modeling the growth of red sea bream (Pagrus major) in cage culture: A comparative evaluation of nonlinear models

The economic success of marine aquaculture for commercially significant species like Pagrus major hinges on predictable production cycles and efficient management. However, the growth dynamics of P. major in net-cage culture conditions are complex, shaped by fluctuating environmental variables and intensive management inputs, making accurate prediction of its growth trajectory a persistent industry challenge. Therefore, developing a robust and reliable growth model is a critical necessity for the sustainable development of the P. major industry. To address this practical need, a one-year growth monitoring study was conducted. Three nonlinear growth models, Logistic, Gompertz, and Von Bertalanffy, were fitted to the body weight data. The goodness-of-fit of these models was evaluated based on statistics such as the coefficient of determination ( R ²), Akaike information criterion (AIC), and Bayesian information criterion (BIC). The results showed that among the three models, the Logistic model provided the best fit for the body weight of net-caged P. major ( R ² = 0.980, lowest AIC and BIC values). Based on this model, the predicted asymptotic body weight ( A ) was 370.7 g. The age at the inflection point ( T i ) was 11.6 months, with a corresponding body weight at the inflection point ( W i ) of 185.3 g, and the maximum monthly weight gain ( M g ) was 43.9 g. The growth of P. major followed a sigmoid curve and exhibited distinct phasic characteristics: a relatively slow initial growth, a subsequent rapid growth period, and a decelerated growth rate in the later stage. These growth phase transitions coincided temporally with the dynamic changes in water temperature and salinity. This study provides a scientific basis and a practical model for the precision management, determination of optimal harvest size and timing, and evaluation of the economic efficiency of P. major aquaculture. • A pioneering comparison of growth models for a key cage-cultured fish species. • The Logistic model best describes the body weight growth of cage-cultured Pagrus major . • Water temperature is the key driver of growth, while salinity limits the early stages.

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Publication Details

Journal
Aquaculture Reports
Published
2025-11-20
DOI
https://doi.org/10.1016/j.aqrep.2025.103232
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
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article

Modeling the growth of red sea bream (Pagrus major) in cage culture: A comparative evaluation of nonlinear models

Jingyue Huang, Qishuai Wang, Ying Pan, Xinghong Luo et al.
Aquaculture Reports
Marine Bivalve and Aquaculture Studies
article

Modeling the growth of red sea bream (Pagrus major) in cage culture: A comparative evaluation of nonlinear models

Jingyue Huang, Qishuai Wang, Ying Pan, Xinghong Luo, Wanjie Liu, Zhuocheng Wu, Yinjie Zhang, Qisheng Zheng, Zhen Zhao, Jiangwei Li, T. F. Xu, Qinggan Xing
article en

Abstract

The economic success of marine aquaculture for commercially significant species like Pagrus major hinges on predictable production cycles and efficient management. However, the growth dynamics of P. major in net-cage culture conditions are complex, shaped by fluctuating environmental variables and intensive management inputs, making accurate prediction of its growth trajectory a persistent industry challenge. Therefore, developing a robust and reliable growth model is a critical necessity for the sustainable development of the P. major industry. To address this practical need, a one-year growth monitoring study was conducted. Three nonlinear growth models, Logistic, Gompertz, and Von Bertalanffy, were fitted to the body weight data. The goodness-of-fit of these models was evaluated based on statistics such as the coefficient of determination ( R ²), Akaike information criterion (AIC), and Bayesian information criterion (BIC). The results showed that among the three models, the Logistic model provided the best fit for the body weight of net-caged P. major ( R ² = 0.980, lowest AIC and BIC values). Based on this model, the predicted asymptotic body weight ( A ) was 370.7 g. The age at the inflection point ( T i ) was 11.6 months, with a corresponding body weight at the inflection point ( W i ) of 185.3 g, and the maximum monthly weight gain ( M g ) was 43.9 g. The growth of P. major followed a sigmoid curve and exhibited distinct phasic characteristics: a relatively slow initial growth, a subsequent rapid growth period, and a decelerated growth rate in the later stage. These growth phase transitions coincided temporally with the dynamic changes in water temperature and salinity. This study provides a scientific basis and a practical model for the precision management, determination of optimal harvest size and timing, and evaluation of the economic efficiency of P. major aquaculture. • A pioneering comparison of growth models for a key cage-cultured fish species. • The Logistic model best describes the body weight growth of cage-cultured Pagrus major . • Water temperature is the key driver of growth, while salinity limits the early stages.

Aquaculture ReportsVol. 45
Guangxi University (CN), Guangxi Academy of Fishery Sciences (CN)
Openalex Percentile: Top 67%
Marine Bivalve and Aquaculture Studies
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