Work

Individual Growth Parameterization Models Using the Observed Variance in Organisms Subject to Aquaculture

Year: 2025

Type: article

Abstract: Parameterizing nonlinear models presents an ongoing challenge in fisheries and aquaculture research. While additive and multiplicative error structures have been traditionally applied, a more recent alternative—the observed error structure—is gaining increasing acceptance. This study aimed to analyze the variability of individual growth during the early developmental stages of totoaba (Totoaba macdonaldi), shrimp (Penaeus vannamei), and pearl oyster (Pteria sterna). The observed variance was incorporated as a central component for parameterizing individual growth models. All three datasets were derived from controlled laboratory conditions. Information theory was applied to identify the most appropriate variance criterion (observed, additive, or multiplicative). The Schnute model, case 1, was utilized to estimate the growth curve for each species. Distinct growth patterns were observed: sigmoid in totoaba, rectilinear in shrimp, and exponential in pearl oyster. These findings indicate that incorporating observed variability at each age enhances the parameterization of individual growth models across diverse taxonomic groups, including fish, crustaceans, and mollusks.

Source: Aquaculture Journal

DOI: 10.3390/aquacj5040021

Authors: Eugenio Alberto Aragón-Noriega, Edgar Alcántara-Razo, José Adán Félix-Ortiz, Samuel Angiee Ayón-Jiménez

Institutions: Centro de Investigaciones Biológicas del Noroeste S.C., Universidad Autónoma de Sinaloa

Language: English

Topic: Aquaculture Nutrition and Growth

Subfield: Aquatic Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Life below water, Zero hunger

Open Access status: gold

Estimated APC paid: $1,207