The process of age estimation on fishes is a key element over fisheries assessment and routines which aids harvest strategy planning, monitoring and conservation management of commercial resources (Campana & Thorrold, 2001;Pino et al., 2004). This straightforward process may allow users to calibrate stock growth models considering different sampling procedures (Steward et al., 2009). Currently, there are several methods to estimate the age of fish, mainly based on the interpretation of discontinuity patterns of hard structures, such as spines, otoliths, scales and fin rays (Lepak et al., 2012). The lecture of seasonal rings in otoliths is one of the most widely used methods to estimate the age in bony fish yet requires specialized training to obtain comparable and repeatable results. All available methods entail empirical adjustments according to the otolith morphology and suspected maximum age of the species (Morales-Nin, 1992). The lecture of rings on otoliths is a time-consuming and laboratory-intensive method despite its widespread use (Fletcher, 1991;. However, there is room for improvement and optimization in terms of the overall cost and time involved, especially when the otolith weight is considered as a useful proxy for age estimation. Over the last two decades, the use of otolith weight has been used alternatively and supplementary to traditional age estimation (Boehlert, 1985;Morat et al., 2008;Nazir & Khan, 2019), mainly, based over the premise that long-lived and slow-growing fish tend to have relatively larger and heavier otoliths compared with those otoliths from fast-growing and short-lived fish (Radtke et al., 1985). Several authors have shown that there is a predictable relationship between the age and otolith weight (Britton &