A comunidade parasit?ria da Trilha, Mullus argentinae Hubbs & Marini, 1933 (Perciformes, Mullidae): aspectos taxon?micos e seu uso para a discrimina??o de estoques populacionais

• Ano de defesa: 2012
• Autor(a) principal: Pereira, Aldenice de Nazar? Silva
• Orientador(a): Alejos, Jos? Luis Fernando Luque
• Banca de defesa: Alejos, Jos? Luis Fernando Luque, Silva, Cl?udia Portes Santos, Martins, Maur?cio Later?a
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal Rural do Rio de Janeiro
• Programa de Pós-Graduação: Programa de P?s-Gradua??o em Ci?ncias Veterin?rias
• Departamento: Instituto de Veterin?ria
• País: Brasil
• Palavras-chave em Português: Comunidades parasit?rias; Distribui??o de parasitos; Popula??es; Estoque
• Palavras-chave em Inglês: Parasitic communities; Distribution of parasites; Populations
• Área do conhecimento CNPq: Medicina Veterin?ria
• Link de acesso: https://tede.ufrrj.br/jspui/handle/jspui/1691

Previous studies of the parasitic fauna of the goatfish (Mullus argentinae) from Brazil and Argentina show a significant diversity of species and suggest that this host feature is a good model to test hypotheses for the distribution of parasites and their use as biological indicators of the presence of stocks or different populations of hosts and allowing information relevant to good management of this species. The purpose of this work was to study the composition and structure of parasites communities of the goatfish (M. argentinae), assess whether the temporal variation influences the parasitic fauna and verify its use as a tool for discrimination of possible stocks of this species throughout its geographical distribution, which includes the coast of Brazil and Argentina. During the period of March 2010 to July 2011, were collected 430 specimens of M. argentinae of three locations along the Brazilian coast and an area of the coast of Argentina. In statistics, the quantitative approach was made at the level of parasitic infrapopulations and ecological descriptors were calculated for each parasite species in each area. Species with prevalence >10% in at least one of the localities were analyzed in the ? ? (Chi-square) to test significant differences in prevalence between locations. ANOVA and a Tukey test a posteriori were performed to test for unequal samples. It was analyzed similarity indices of Jaccard and qualitative Bray-Curtis and quantitative and multivariate analysis. Discriminate analysis was used to detect differences between locations and identify species of parasites responsible for these differences.