Multi-model selection in growth parameters estimation of blue thread herring Opisthonema bulleri in the southern Gulf of California
Growth parameters estimation of blue thread herring Opisthonema bulleri
DOI:
https://doi.org/10.18633/biotecnia.v25i3.1829Keywords:
O. bulleri, age, growth, multi-model selectionAbstract
The blue thread herring (Opisthonema bulleri) is part of the landing commercials of small pelagic fishes form southern of Gulf of California; the fishery is certified as sustainable for Marine Stewardship Council. The growth parameters of this specie is great interest in the assessment and manage of Opisthonema complex fishery. In this study, a data set age-at-size was generated of 367 otoliths reads of 2005 and 2015 years to complete the continuity monthly of a year and inference the formation periodicity of growth mark. A multimodel select approach on five special Submodels of generalized Schnute model including one equivalent to the von Bertalanffy model, were used. The monthly edge type of otoliths suggests an annual growth mark. Six age group were identified (0-5 years), with an APE and CV of 4.5 and 2.9 % respectively. The age-at-length analysis of the data set with multi-model selection is a guarantee that Schnute's case one is the best to describe and estimate the growth parameters of O. bulleri from the southern Gulf of California.
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