2020
DOI: 10.1051/e3sconf/202014702011
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Fin Length and Total Length Relationships of Silky Shark Carcharhinus falciformis Landed at Tanjung Luar Fish Landing Port, West Nusa Tenggara, Indonesia

Abstract: Shark fins are a very valuable product for international trade. This study aims to obtain the equations describing the relationship between fin length and the total length of silky shark. Using the total length at sexual maturity (Lm), the equation is then used to estimate the fin length associated with this Lm, which can then be included in the recommendation for international shark fin trades. Data collection was carried out from March 2018 to February 2019 at Tanjung Luar Fish Landing Port, West Nusa Tengga… Show more

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Cited by 2 publications
(1 citation statement)
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“…One of the most frequent employment of this method is in This paper aims to investigate the use of the proposed direction in describing the relationship between fin dorsal length and the total length of silky shark. The data were collected by [32] from March 2018 to February 2019 at Tanjung Luar Fish Landing Post, West Nusa Tenggara. The study was carried out to set the minimum size of fin products for international trade and the author also pointed out that this data can be used by the fisheries authority to determine the allowed minimum size of silky shark fins for export.…”
Section: Implementation In the Regression Modelmentioning
confidence: 99%
“…One of the most frequent employment of this method is in This paper aims to investigate the use of the proposed direction in describing the relationship between fin dorsal length and the total length of silky shark. The data were collected by [32] from March 2018 to February 2019 at Tanjung Luar Fish Landing Post, West Nusa Tenggara. The study was carried out to set the minimum size of fin products for international trade and the author also pointed out that this data can be used by the fisheries authority to determine the allowed minimum size of silky shark fins for export.…”
Section: Implementation In the Regression Modelmentioning
confidence: 99%