The avocado (Persea americana) is an economically important fruit in several regions around the world (Perkins et al., 2019). Its cultivation mainly takes place in regions of tropical and subtropical climates (Sharma et al., 2017). The avocado has high nutritional value because it is rich in vitamins A, C, E, and B complex, and it has high contents of carbohydrates, proteins, fibre, and monounsaturated fats (Daiuto et al., 2013). The world production of avocados in 2017 was 5,924,398 tonnes, of which Brazil's production was 213,041 tonnes (http://www.fao.org/). Despite advances in the chain of production of this fruit, its cultivation is affected by postharvest diseases, of which anthracnose is the most important (Campos-Martínez et al., 2016). Anthracnose symptoms are characterized by the formation of round lesions, which are initially brown, but subsequently grow and become dark brown to black. As well as on fruits, symptoms occur on stems, branches, and leaves (Fuentes-Aragón et al.

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This paper approaches the application of Hydrological Seasons Fast Identification procedure, proposed by Bittencourt & Amadio (2007), to floodplain lakes with no hydrometric history. For this, we used the correlation between the Solimões river water level, from January 1972 to December 2015, and the Jaitêua and São Lourenço lakes depths, collected from July 2006 to June 2007. Besides the usual results, seasons limits and its intensity and duration classes, we spotted differences between the river and lakes hydrological seasons, a phenomena normally associated with the environments connectivity. Most importantly, we would like to stimulate the debates about arbitraries and the development of better methodological standards for Amazon floodplains seasons identifications.