Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Araneda, Marcelo; Hernández, Juan M.; Gasca‐Leyva, Eucario

doi:10.1111/j.1939-7445.2011.00099.x

Cited by 20 publications

(16 citation statements)

References 41 publications

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“…Uniformity is also important for production planning, and achieving a higher percentage of fish with minimum market size (Mms) at an optimum time of harvest is a determining factor for profit. However, optimal harvesting time (OHT) is overestimated when homogeneity of size is assumed during the different stages of growth (Araneda et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Effect of size heterogeneity of Nile tilapia (Oreochromis niloticus) on the optimal harvest time: a bioeconomics approach

Kim

Klanian

Seijo

2020

Lat. Am. J. Aquat. Res.

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A critical problem in the production of Nile tilapia Oreochromis niloticus in intensive and hyper-intensive systems is the heterogeneity of body sizes as it influences the final production and economic yield. The objective of this study was to calculate the bioeconomic effect of size heterogeneity on the production of Nile tilapia at a commercial level and to determine the optimum harvest time (OHT) considering four minimum marketable sizes target (Mms = 350, 400, 450, 500 g). Two seeding strategies were evaluated: homogeneous seeding (HM) with a 96.55 ± 24.51 g initial body weight and heterogeneous seeding (HT) with a 100.17 ± 5.91 g initial weight. Fish from both treatments were stocked at 40 fish m-3 in triplicate using a randomized design. The calculated quasi-profits of variable costs showed an inversely proportional relationship with the minimum market size in both groups. The smaller size dispersion in HM generated higher profits than HT. The OHT for Mms [350, 500 g] of HM population was 180 days, with a mode of 641 g. The OHT was also 180 days for the HT population but only for the Mms [350, 400 g] and a mode of 578 g. In terms of quasi-profits, the HM produced 19.93% more quasi-profit than the HT in the market size of 350 g at 180 days (HM = 0.50 US$ kg-1; HT = 0.44 US$ kg-1). The simple bioeconomic model presented here can help producers manage a series of economic decisions associated with OHT, when targeting different market segments requiring different Mms.

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Section: Introductionmentioning

confidence: 99%

Effect of size heterogeneity of Nile tilapia (Oreochromis niloticus) on the optimal harvest time: a bioeconomics approach

Kim

Klanian

Seijo

2020

Lat. Am. J. Aquat. Res.

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“…As a result, modelling population dynamics with size structure has been an active and fruitful theme in mathematical biology (to name a few, see [2,4,6,7,11,12,13,15,17,18,19,20,22,23,24,26,31]). Unfortunately, only a few papers deal with the control problem [2,11,12,13,15,18,19,23,31]. Moreover, all focus on optimal harvesting except Araneda et al [2] on optimal harvesting time and He et al [11] on optimal birth control.…”

Section: Rong Liu Feng-qin Zhang and Yuming Chenmentioning

confidence: 99%

“…Unfortunately, only a few papers deal with the control problem [2,11,12,13,15,18,19,23,31]. Moreover, all focus on optimal harvesting except Araneda et al [2] on optimal harvesting time and He et al [11] on optimal birth control.…”

Section: Rong Liu Feng-qin Zhang and Yuming Chenmentioning

confidence: 99%

Optimal contraception control for a nonlinear population model with size structure and a separable mortality

Liu¹,

Zhang²,

Chen³

2016

DCDS-B

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This paper is concerned with the problem of optimal contraception control for a nonlinear population model with size structure. First, the existence of separable solutions is established, which is crucial in obtaining the optimal control strategy. Moreover, it is shown that the population density depends continuously on control parameters. Then, the existence of an optimal control strategy is proved via compactness and extremal sequence. Finally, the conditions of the optimal strategy are derived by means of normal cones and adjoint systems.

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“…Lo quiere decir que esta actividad depende de elementos biológicoecológicos, físicos y tecnológicos que se interrelacionan directamente con resultantes económicos y de administración, comportamiento de mercado, gestión, rentabilidad o decisiones de inversión, que conllevan a determinar un resultado. Estos factores y la falta de información oportuna y útil originan que resulte dificultoso para los directivos de las empresas langostineros resolver en mediano y largo plazo que estrategia de, entre las distintas estrategias de manejo de cultivo (densidad de siembra, fotoperiodo, ración de alimento, cosecha, punto de equilibrio, talla), aplicar en sus estanques de cultivo con el fin de maximizar sus utilidades (Araneda et al, 2011). Sin embargo, no obstante, el mercado a la fecha no dispone de herramientas tecnológicas para cubrir esta demanda del sector langostinero, frente a esta situación es primordial entender que la actividad acuícola es un caso específico de los "sistemas dinámicos".…”

Section: Introductionunclassified

Bioeconomic model that predicts the technical, biological and economic consequences in the cultivation of langostino

Peña¹,

Risco²,

Cardoza³

et al. 2019

manglar

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ResumenLa investigación tuvo como objetivo diseñar un modelo bioeconómico en el cultivo de langostino que permita a los técnicos y directivos tomar decisiones y ser más competitivo; para establecer el diseño se procedió a establecer la arquitectura del modelo de simulación bioeconómico de acuerdo al requerimiento de las empresas langostineras, para cumplir con este objetivo se procedió a desarrollar y organizar el modelo de simulación Bioeconómica, para ello se realizaron pruebas y ensayos del modelo de simulación Bioeconómica el cual permita determinar los posibles errores que se hallan originado en la fase de desarrollo y organización, al final se procede a implementar las puesta en vivo del modelo de simulación Bioeconómica, para poder establecer el modelo bioeconómico se comenzó con seleccionar una arquitectura tecnológica conceptual, diseñar un modelo biológico del cultivo de langostino, se diseñó un modelo tecnológico, diseñar un modelo económico y posteriormente se diseñó los reportes gerenciales y los cubos OLAP. Se inició con el modelamiento AS-IS y TO-BE, se estableció los requerimientos funcionales y no funcionales, se determinó el patrón arquitectónico que más se adecua, el modelo biológico y el modelo económico y de gestión, se consolido los distintos sub modelos que intervienen en el ciclo productivo. AbstractThe objective of the research was to design a bioeconomic model in shrimp farming that allows technicians and managers to make decisions and become more competitive; to establish the design proceeded to establish the architecture of the bioeconomic simulation model according to the requirement of the shrimp companies, to meet this objective, proceeded to develop and organize the bioeconomic simulation model, for which tests and tests were performed on the model of bioeconomic simulation which allows to determine the possible errors that are originated in the development and organization phase, in the end we proceed to implement the live implementation of the bioeconomic simulation model, in order to establish the bioeconomic model we began with selecting an architecture technological conceptual, design a biological model of shrimp farming, a technological model was designed, design an economic model and then the management reports and OLAP cubes were designed. It began with the AS-IS and TO-BE modeling, the functional and non-functional requirements were established, the most appropriate architectural pattern was determined, the biological model and the economic and management model, the different sub-models were consolidated. they intervene in the productive cycle.

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Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Cited by 20 publications

References 41 publications

Effect of size heterogeneity of Nile tilapia (Oreochromis niloticus) on the optimal harvest time: a bioeconomics approach

Effect of size heterogeneity of Nile tilapia (Oreochromis niloticus) on the optimal harvest time: a bioeconomics approach

Optimal contraception control for a nonlinear population model with size structure and a separable mortality

Bioeconomic model that predicts the technical, biological and economic consequences in the cultivation of langostino

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