Parasites as biological tags for the discrimination of marine fish stocks in Brazil: current status and perspectives
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Keywords

Recursos pesqueiros
manejo sustentável
peixes marinhos
Parasitos
Conservação Fisheries
sustainable Mmanagement
marine fisheries
parasites
conservation

How to Cite

Soares, I. A., & Luque, J. L. (2016). Parasites as biological tags for the discrimination of marine fish stocks in Brazil: current status and perspectives. Brazilian Journal of Veterinary Medicine, 38(Supl. 3), 54–62. Retrieved from https://rbmv.org/BJVM/article/view/329

Abstract

ABSTRACT. Soares I.A. & Luque J.L. [Parasites as biological tags for the discrimination of marine fish stocks in Brazil: current status and perspectives.] Parasitos como marcadores biológicos para discriminação de estoques de peixes marinhos no Brasil: estado atual e perspectivas. Revista Brasileira de Medicina Veterinária, 38(supl. 3):99-113, 2016. Programa de Pós-Graduação em Ciências Veterinárias, Universidade Federal Rural do Rio de Janeiro, BR 465 Km 7, Seropédica, RJ 23890-000, Brasil. E-mail: luqueufrrj@gmail.com The global state of marine fisheries and its effects endanger the future of fishery resources, which may result in extinction of several species as well as threatening the overall integrity of the ecosystems. As the fish consumption growths, marine fishing and related market activities are stimulated increasing the incidence of threatened or exploited species. Aiming the future sustainability, fishery inventories need to be properly identified as a tool for implementation of more efficient policies on the management and conservation of the natural resources. Thus, by the high heterogeneity observed in the Atlantic coast of Brazil as well as the lack of related studies using this tool, the country represents great potential for the use of this technique, to improve our knowledge of local fishing resources. Therefore, the present study highlights the use of parasites as biological markers on identifying fish populations through robust statistical analysis, which represents an efficient and low cost approach and the lack of similar studies in Brazil showing the need of more research efforts on this subject in Brazil.

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