Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/120779
DC FieldValueLanguage
dc.contributor.authorAraneda, Men_US
dc.contributor.authorHernández Guerra, Juan Maríaen_US
dc.contributor.authorVela, MAen_US
dc.contributor.authorDominguez-May, Ren_US
dc.date.accessioned2023-03-01T09:11:27Z-
dc.date.available2023-03-01T09:11:27Z-
dc.date.issued2022en_US
dc.identifier.issn1355-557Xen_US
dc.identifier.urihttp://hdl.handle.net/10553/120779-
dc.description.abstractMathematical representation of the growth of organisms in aquaculture systems is a key factor to perform optimal production. Here, we analysed five growth sigmoidal models based on density of previous and current models described in literature (Gompertz, Bertalanffy, Potential and Pütter). These models were fitted to data of Pacific white shrimp cultured in freshwater, with 90, 130, 180, 230, 280 and 330 shrimp/m2 as initial stocking density of culture. Goodness of fit and statistic validation of the density-dependent model modified from Gompertz proved to display the growth curve that best-described data of shrimp grown between 90 and 180 densities, whereas the growth model modified from Potential proved to best describe higher stocking densities (230–330). The population dynamics was also modelled using a density-dependent function. The implications of modelling and their importance in the management of fisheries are discussed.en_US
dc.languageengen_US
dc.relation.ispartofAquaculture Researchen_US
dc.sourceAquaculture Research [ISSN 1355-557X],v. 53 (14), p. 4958-4969, (2022)en_US
dc.subject531201 Agricultura, silvicultura, pescaen_US
dc.subject5302 Econometríaen_US
dc.subject.otherDensity dependenceen_US
dc.subject.otherGompertz modelen_US
dc.subject.otherInitial stocking densityen_US
dc.subject.otherNon-linear growth modelsen_US
dc.subject.otherPacific white shrimpen_US
dc.subject.otherRecirculation systemen_US
dc.titleGrowth and population modelling based on density of the Pacific white shrimp intensively cultured in freshwateren_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1111/are.15982en_US
dc.identifier.scopus2-s2.0-85134017128-
dc.identifier.isiWOS:000825260800001-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid0000-0001-6897-5179-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid0000-0002-4685-9019-
dc.description.lastpage4969en_US
dc.identifier.issue14-
dc.description.firstpage4958en_US
dc.relation.volume53en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,552
dc.description.jcr2,0
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.miaricds11,0
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR TIDES: Economía, medioambiente, sostenibilidad y turismo-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-6897-5179-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameHernández Guerra, Juan María-
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