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Morphometry and morphology of fish otoliths on the coast of the state of Maranhão, Brazil.

K F S SantosL N SilvaN B A SilvaJ F F FernandesA V S GarciaM B Figueiredo
Published in: Brazilian journal of biology = Revista brasleira de biologia (2024)
The main objective of this study was to evaluate the biometric relationships between the species Bagre bagre, Lutjanus synagris and Nebris microps and their otoliths. The relationship between the size of the otolith (length and weight) and the size of the fish (standard length and total weight) was determined using the linear regression model (y = a + bx). For the morphological description, the otoliths of three specimens were selected by standard length class (10mm). The morphological characters analyzed were chosen according to traditional literature. Three hundred eight specimens of B. bagre, 200 of L. synagris and 237 of N. microps were analyzed. Throughout the collection period, the source of the capture of individuals was the municipality of Raposa. The linear correlations for fish and otolith length for B. bagre were 0.9129 and 0.9652, respectively. For L. synagris, the coefficients were 0.8634 and 0.8672, while for N. microps, 0.9597 and 0.8636, respectively. The morphological classification of L. synagris and N. microps is of the Saggita type, and the B. bagre species is of the Lapillus type. From the data presented here, it is possible to observe that otolith morphometric and morphological data can serve as a parameter to estimate the relationship between the fish and the otolith in terms of its biomass and the length of an individual and a population.
Keyphrases
  • body mass index
  • machine learning
  • electronic health record
  • systematic review
  • weight loss
  • big data
  • artificial intelligence
  • wastewater treatment
  • data analysis