Mesh selectivity of drift gillnet for caranx sexfasciatus and caranx tille

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dc.contributor.authorBalasubramaniam, A.
dc.contributor.authorMeenakumari, B.
dc.contributor.authorBoopendranath, M.R.
dc.contributor.authorPravin, P.
dc.contributor.authorErzini, K.
dc.date.accessioned2013-12-05T09:52:08Z
dc.date.available2013-12-05T09:52:08Z
dc.date.issued2010
dc.description.abstractThe gear selectivity and fishing power of different mesh sizes (13.5, 14, 14.5 and 15cm) were investigated using experimental catch data of carangids Caranx sexfasciatus and Caranx tille. The selectivity and residual curves were generated using four different individual uni-normal (normal scale, normal location, gamma and log-normal) and bi-normal functions with four different mesh sizes. Selectivity parameters were estimated using the SELECT (Share Each LEngth Class Total) model which has been implemented in the software called GILLNET (Generalized including Log-Linear N Estimation Technique). Model deviance, Dispersion parameter and Residual plots were used to determine the best fit of the data. The results demonstrated that bi-normal model and uni-normal log-normal yielded good fit for C. Sexfasciatus and C. tille respectively. Mesh sizes 14 and 14.5 cm performed better than the modeled in both the catch data. Modal length increased with mesh sizes. Bi-normal model yielded narrow selection range while log-normal model was of wider range. Shape and size of the selectivity curves were identical and uniform in size. Over dispersion was common in all selectivity models which in turn showed lack of fit irrespective of the models.en_US
dc.identifier.citationFishery Technology 2010: 47(2), 111-120en_US
dc.identifier.urihttp://hdl.handle.net/123456789/833
dc.language.isoenen_US
dc.publisherSociety of Fisheries Technologists(India),Cochinen_US
dc.subjectGillneten_US
dc.subjectselectivityen_US
dc.subjectfishing poweren_US
dc.subjectcarangidsen_US
dc.titleMesh selectivity of drift gillnet for caranx sexfasciatus and caranx tilleen_US
dc.typeArticleen_US
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