Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests

Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests

In commercial fish farming, growth performance is the most influential factor in economic profitability; so, biomass optimization has become a growing concern. We analyzed the influence of 3 harvest densities (15, 20, and 22 kg·m–3) on the growth of spotted rose snappers reared in floating net cages...

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Κύριοι συγγραφείς: Jurado-Molina, Jesús, Hernández-López, Carlos Humberto, Hernández, Crisantema
Μορφή: Online
Γλώσσα:eng
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Έκδοση: Iniversidad Autónoma de Baja California 2023
Διαθέσιμο Online:https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/3253
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id oai:cienciasmarinas.com.mx:article-3253
record_format ojs
institution Ciencias Marinas
collection OJS
language eng
spa
format Online
author Jurado-Molina, Jesús
Hernández-López, Carlos Humberto
Hernández, Crisantema
spellingShingle Jurado-Molina, Jesús
Hernández-López, Carlos Humberto
Hernández, Crisantema
Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests
author_facet Jurado-Molina, Jesús
Hernández-López, Carlos Humberto
Hernández, Crisantema
author_sort Jurado-Molina, Jesús
title Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests
title_short Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests
title_full Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests
title_fullStr Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests
title_full_unstemmed Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests
title_sort evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests
description In commercial fish farming, growth performance is the most influential factor in economic profitability; so, biomass optimization has become a growing concern. We analyzed the influence of 3 harvest densities (15, 20, and 22 kg·m–3) on the growth of spotted rose snappers reared in floating net cages during a production cycle. To assess the impact of stocking density on growth performance, we used 2 indicators: final total length-at-age (12 months) and the growth rate estimated from growth models (von Bertalanffy, logistic, and Gompertz). For the first indicator, we tested for normality. We did the Kruskal–Wallis and the post hoc Kruskal–Wallis tests to compare the mean total final length from each density. Accordingly, the means of densities D15 and D20 were the same (P value = 0.22). For the second indicator, we fitted the models with the subroutine optim of the R statistical package using the L-BFGS-B algorithm. Model selection was made with the Akaike and the Bayesian information criteria. Both criteria suggested that the logistic model fitted the data best. With the best model (logistic), we did 1,000 bootstrap simulations for each density scenario to determine the distribution of the maximum likelihood estimation for the instantaneous growth rate. Because the estimates were normally distributed, we used ANOVA to test the equality of the instantaneous growth. The Tukey HSD test suggested that all means were statistically different from each other. The fastest growth rate (K = 0.275) corresponded to the cage with a density of 20 kg·m–3. These findings demonstrate that the logistic model can predict the growth of spotted rose snappers under culture conditions using floating net cages. These results strengthen the productive potential and economic profitability of snapper aquaculture using floating cage and may help the start of commercial scale aquaculture.
publisher Iniversidad Autónoma de Baja California
publishDate 2023
url https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/3253
_version_ 1792095476841971712
spelling oai:cienciasmarinas.com.mx:article-32532024-02-08T22:54:21Z Evaluation of fish density influence on the growth of the spotted rose snapper reared in floating net cages using growth models and non-parametric tests Evaluación de la influencia de la densidad de siembra de peces en el crecimiento del pargo flamenco cultivado en jaulas flotantes usando modelos de crecimiento y pruebas no paramétricas Jurado-Molina, Jesús Hernández-López, Carlos Humberto Hernández, Crisantema cage culture growth models density snapper mariculture cultivo en jaulas modelos de crecimiento densidad de siembra pargo maricultura In commercial fish farming, growth performance is the most influential factor in economic profitability; so, biomass optimization has become a growing concern. We analyzed the influence of 3 harvest densities (15, 20, and 22 kg·m–3) on the growth of spotted rose snappers reared in floating net cages during a production cycle. To assess the impact of stocking density on growth performance, we used 2 indicators: final total length-at-age (12 months) and the growth rate estimated from growth models (von Bertalanffy, logistic, and Gompertz). For the first indicator, we tested for normality. We did the Kruskal–Wallis and the post hoc Kruskal–Wallis tests to compare the mean total final length from each density. Accordingly, the means of densities D15 and D20 were the same (P value = 0.22). For the second indicator, we fitted the models with the subroutine optim of the R statistical package using the L-BFGS-B algorithm. Model selection was made with the Akaike and the Bayesian information criteria. Both criteria suggested that the logistic model fitted the data best. With the best model (logistic), we did 1,000 bootstrap simulations for each density scenario to determine the distribution of the maximum likelihood estimation for the instantaneous growth rate. Because the estimates were normally distributed, we used ANOVA to test the equality of the instantaneous growth. The Tukey HSD test suggested that all means were statistically different from each other. The fastest growth rate (K = 0.275) corresponded to the cage with a density of 20 kg·m–3. These findings demonstrate that the logistic model can predict the growth of spotted rose snappers under culture conditions using floating net cages. These results strengthen the productive potential and economic profitability of snapper aquaculture using floating cage and may help the start of commercial scale aquaculture. En la piscicultura, el crecimiento es el factor más influyente en la rentabilidad económica. Por tanto, optimizar la biomasa es una preocupación creciente. Se analizó la influencia de 3 densidades de cosecha (15, 20 y 22 kg·m–3) en el crecimiento del pargo flamenco cultivado en jaulas flotantes. Para evaluar el impacto de la densidad de población en el crecimiento, usamos 2 indicadores: la longitud total final por edad (12 meses) y la tasa de crecimiento estimada a partir de modelos de crecimiento (von Bertalanffy, logístico y Gompertz). Para el primer indicador, evaluamos la normalidad. Realizamos la prueba de Kruskal-Wallis para comparar la longitud media total final asociada a cada densidad, seguido de una prueba de Kruskal-Wallis post hoc. Los resultados sugieren que las medias de las densidades D15 y D20 fueron estadísticamente iguales (valor de P = 0.22). Para el segundo indicador, ajustamos los modelos con el paquete estadístico R (algoritmo L-BFGS-B). El modelo se seleccionó con los criterios de información de Akaike y Bayesiano. Ambos criterios sugirieron que el modelo logístico se ajustó mejor a los datos. Con el modelo logístico, hicimos 1,000 simulaciones bootstrap para cada densidad para determinar la distribución de la estimación de máxima verosimilitud para la tasa de crecimiento instantáneo. Como las estimaciones tuvieron distribución normal, usamos un ANDEVA para probar la igualdad del crecimiento instantáneo. La prueba diferencia significativa honesta de Tukey sugirió que todas las medias eran estadísticamente diferentes. La tasa de crecimiento más alta (K = 0.275) correspondió a la densidad de 20 kg·m–3. Estos hallazgos demuestran que el modelo logístico puede predecir el crecimiento del pargo flamenco en condiciones de cultivo. Estos resultados fortalecen el potencial productivo y la rentabilidad económica de la acuicultura de pargos en jaulas flotantes y pueden ser el comienzo de la acuicultura a escala comercial. Iniversidad Autónoma de Baja California 2023-01-11 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Artículo Arbitrado application/pdf text/xml text/xml https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/3253 10.7773/cm.y2023.3253 Ciencias Marinas; Vol. 49 (2023) Ciencias Marinas; Vol. 49 (2023) 2395-9053 0185-3880 eng spa https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/3253/420420708 https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/3253/420420834 https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/3253/420420835 Copyright (c) 2023 Jesus Jurado-Molina https://creativecommons.org/licenses/by/4.0

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