The Quantile Regression Mixed Growth Model Can Help to Improve the Productivity in Gilthead Sea Bream (Sparus aurata) and European Sea Bass (Dicentrarchus labrax) Growing in Marine Farms

Jover, M.

doi:10.15406/jamb.2017.06.00161

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Models with HtG can be fitted using quantile regression, which is suitable for nonparametric analyses, offers a closer idea of weight distribution, and is not sensitive to the presence of outliers [42,[47][48][49][50][51][52][53][54][55].…”

Section: Introductionmentioning

confidence: 99%

Modeling Nile Tilapia Heterogeneous Growth under Different Stocking Densities during Pre-Grow-Out Stage

Fuentes-Andraca,

Araneda-Padilla,

Domínguez-May

et al. 2023

Aquaculture Research

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The heterogeneous and homogeneous growth (HmG) assumptions in an intensive tilapia Oreochromis niloticus pre-grow-out production were evaluated under the different stocking scenarios. Four growth models (von Bertalanffy, Logistic, Pütter, and Gompertz) were tested and modified to include the effect of stocking density and growth difference. Models with homogeneous growth were fitted using a nonlinear regression, while heterogeneous growth (HtG) models were parameterized using quantile (0.05, 0.15, 0.25, 0.50, 0.75, 0.85, and 0.95) regression. According to goodness of fit and validation, the models that best fit homogeneous and HtG were Logistic and von Bertalanffy, respectively, which confirm the existence of the dense dependency effect on growth performance. Density and growth have an inversely proportional relationship. Quantile regression provided greater efficiency in predicting growth of the different groups of individuals in the population. The results obtained can be used by the aquaculture farmer to select stocking management strategies and optimal transfer time for tilapia juveniles.

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Section: Introductionmentioning

confidence: 99%

Modeling Nile Tilapia Heterogeneous Growth under Different Stocking Densities during Pre-Grow-Out Stage

Fuentes-Andraca,

Araneda-Padilla,

Domínguez-May

et al. 2023

Aquaculture Research

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show abstract

“…Continuous models compared to discrete models offer the advantage of predicting future values because they can simulate population variation based on weight and time by using a normal distribution, which is relevant for sowing and selective harvesting (Arnason et al, 1992). Other authors have applied for the same purpose, the Generalized Linear Model Method (Briceño et al, 2010) and quantile regressions (Mayer et al, 2009;Estruch et al, 2017;Jover, 2017).…”

Section: Introductionmentioning

confidence: 99%

Bioeconomic modeling of optimal harvest time in Nile tilapia (Oreochromis niloticus) considering size heterogeneity and minimum marketable size

Borrego-Kim

Domínguez‐May

Monroy-Borrego

et al. 2020

Lat. Am. J. Aquat. Res.

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Size dispersion in farmed fish has a substantial impact on production's bioeconomic performance, directly affecting net profits. This work's objective was to develop a bioeconomic model based on experimental data to identify the optimal harvest time (OHT) for Nile tilapia Oreochromis niloticus. The bioeconomic model considered four minimum marketable sizes (Mms = 350, 400, 450, and 500 g). Organisms were selected by size with different coefficients of variation (CV). Therefore, they were reared under two growth strategies: heterogeneous size (HT = 44-155 g; CV 25.5%) and homogeneous size (HM = 87-112 g; CV 5.9%). The HT system-generated tradable biomass of 99.30% in an OHT of 196 days with a net profit of USD 3,551.61 and a Mms of 350 g. However, the HM system achieved greater marketable biomass (99.53%) in less time (OHT = 181 days) with a net profit of USD 3,327.96 for the same Mms. The Mms of 500 g had the lowest net benefit in both systems. The HM strategy earned an additional 10.66% of incomes, indicating that the reduction in size dispersion positively impacted profits. The developed model provides a new perspective regarding the management of heterogeneity and size homogeneity in commercial production of Nile tilapia in intensive systems.

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Optimization of stocking and harvesting strategies in intensive culture of tilapia (Oreochromis niloticus), considering minimum marketable sizes

2023

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The Quantile Regression Mixed Growth Model Can Help to Improve the Productivity in Gilthead Sea Bream (Sparus aurata) and European Sea Bass (Dicentrarchus labrax) Growing in Marine Farms

Cited by 4 publications

References 8 publications

Modeling Nile Tilapia Heterogeneous Growth under Different Stocking Densities during Pre-Grow-Out Stage

Modeling Nile Tilapia Heterogeneous Growth under Different Stocking Densities during Pre-Grow-Out Stage

Bioeconomic modeling of optimal harvest time in Nile tilapia (Oreochromis niloticus) considering size heterogeneity and minimum marketable size

Optimization of stocking and harvesting strategies in intensive culture of tilapia (Oreochromis niloticus), considering minimum marketable sizes

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