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Developing a new tool based on a quantile regression mixed-TGC model for optimizing gilthead sea bream (Sparus aurata L) farm management

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Developing a new tool based on a quantile regression mixed-TGC model for optimizing gilthead sea bream (Sparus aurata L) farm management

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dc.contributor.author Estruch, V. D. es_ES
dc.contributor.author Mayer-González, Pablo es_ES
dc.contributor.author Roig, Bernardino es_ES
dc.contributor.author Jover Cerdá, Miguel es_ES
dc.date.accessioned 2018-02-23T05:14:26Z
dc.date.available 2018-02-23T05:14:26Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1355-557X es_ES
dc.identifier.uri http://hdl.handle.net/10251/98347
dc.description.abstract [EN] In this work, a seasonal quantile regression growth model for the gilthead sea bream (Sparus aurata L) based on an aggregation of the quantile TGC models with exponent 1/3 and 2/3, named the Quantile TGC-Mixed Model, is presented. This model generalizes the proposal of Mayer, Estruch and Jover (Aquaculture, 358-359, 2012, 6) in the sense that the new model is able to describe the evolution of weight distribution throughout an entire production cycle, which could be a powerful tool for fish farm management. The information provided by the model simulations enables us to estimate total fish production and final fish size distribution and helps to design and simulate production and sales plan strategies considering the market price of different fish sizes, in order to increase economic profits. The most interesting alternative in the studied case results in sending all production when 0.25 quantile fish reach 600g, although on each fish farm it would be necessary to evaluate optimum strategy depending on its own quantile regression model, the production cost and the market price. es_ES
dc.language Inglés es_ES
dc.publisher Blackwell Publishing es_ES
dc.relation.ispartof Aquaculture Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fish farm management es_ES
dc.subject Growth in marine cages es_ES
dc.subject Modelling fish growth es_ES
dc.subject Quantile regression es_ES
dc.subject Thermal growth coefficient es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Developing a new tool based on a quantile regression mixed-TGC model for optimizing gilthead sea bream (Sparus aurata L) farm management es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1111/are.13414 es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2018-12-31 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal es_ES
dc.description.bibliographicCitation Estruch, VD.; Mayer-González, P.; Roig, B.; Jover Cerda, M. (2017). Developing a new tool based on a quantile regression mixed-TGC model for optimizing gilthead sea bream (Sparus aurata L) farm management. Aquaculture Research. 48(12):5901-5912. doi:10.1111/are.13414 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1111/are.13414 es_ES
dc.description.upvformatpinicio 5901 es_ES
dc.description.upvformatpfin 5912 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 48 es_ES
dc.description.issue 12 es_ES
dc.relation.pasarela S\346047 es_ES
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