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INFORME | noviembre, 2020
El caso de la denominación de recursos pesqueros del mar del norte del Perú para fines de comercialización y manejo pesquero
Este trabajo busca identificar puntos de mejora del sistema de toma de datos de desembarque por especie de la pesca artesanal, mediante el análisis de las capacidades de pescadores artesanales de Piura y Tumbes para identificar algunos de los principales grupos de peces. Para ello se aplicó una prueba de identificación de 51 especies de peces de alto valor comercial a 132 pescadores artesanales escogidos con base en sus años de experiencia en la actividad. Además, se recolectaron 94 muestras de tejido de peces considerados difíciles de identificar a simple vista debido a su similitud con especies hermanas (congenéricas) y se registraron las denominaciones utilizadas por los pescadores para identificarlos. Se contrastaron estos nombres con aquellos asociados a la identificación taxonómica a nivel de especie a través de marcadores moleculares de código de barras de ADN.