URUCURI FRUIT PRODUCTION, Attalea excelsa MART. (ARECACEAE), IN AMAZON RIVER ESTUARY´S FLOODPLAIN FOREST

• Autor(a) principal: Dantas, Adelson Rocha
• Data de Publicação: 2014
• Outros Autores: Ribeiro, Gabrielly Guabiraba, Lira-Guedes, Ana Cláudia, Guedes, Marcelino Carneiro
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Biota Amazônia
• Texto Completo: https://periodicos.unifap.br/index.php/biota/article/view/1210

The aim of this study was to evaluate the production of fruits of Attalea excelsa to facilitate the definition of stocks available to generate management strategies and conservation of the species. The study was developed in estuarine floodplain forest of the Embrapa Amapá Experimental Field, located in the Mazagão-AP, as part of the Florestam project. An inventory was conducted of all individuals with CAP    30 cm in area of 56 ha, in 2011. From 213 individuals inventoried, 36 were randomly selected for monitoring fruit production. Measures of length, diameter and weight were taken from the bunches. All fruit bunches were quantified and determined the fresh and dry weight. Were obtained biometric measurements of fruits and characterization of income (percentage) of its constituent parts (bract, endocarp, mesocarp and pyrene). Analysis of clusters, correlations and descriptive statistics of the variables related to production were performed. The average production was 1.5 bunches, ranging 1-4 bunches / urucuri palm. A bunch produces on average 415 ± 222 fruits, ranging 96-1102 fruits / bunch. The fruits are elongated, as have an average length (72.5 mm) larger than the diameter (45.5). The mesocarp showed a low income percentage (24.8%), with similar values to the endocarp (24.2%). The pyrene has a high percentage of income (45.1%). A urucuri palm produces on average 629 ± 387 fruits, with high variation in production. Cluster analysis on the basis of attributes of bunches and fruits revealed of five to seven distinct groups of matrices, allowing the selection of matrices with higher production.Keywords: biometry; non-timber forest product; matrices selection; Amapá; Florestam project.