Searching for accurate and convenient body measurements for estimating the body length and weight of the blue shark (<i>Prionace glauca</i>)
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- Yamamoto Atsuya
- Faculty of Bioresources, Mie University
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- Shibano Ayumi
- Faculty of Bioresources, Mie University
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- Fujinami Yuki
- Shimizu Branch, Fisheries Resources Institute, Japan Fisheries Research and Education Agency
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- Semba Yasuko
- Shimizu Branch, Fisheries Resources Institute, Japan Fisheries Research and Education Agency
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- Hiraoka Yuko
- Shimizu Branch, Fisheries Resources Institute, Japan Fisheries Research and Education Agency
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- Kanaiwa Minoru
- Faculty of Bioresources, Mie University
Bibliographic Information
- Other Title
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- ヨシキリザメの体長や体重を推定するための正確かつ簡便な測定部位の探索
- Searching for accurate and convenient body measurements for estimating the body length and weight of the blue shark (Prionace glauca)
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Description
<p>Blue sharks (Prionace glauca) are caught in many countries, but the body measurements data collected vary among countries and institutions. This paper examined if the logarithmic value model or the real value model is more suitable for estimating the body lengths of blue sharks caught in the northwestern Pacific Ocean, using the conversion factors from linear regressions between various body measurements. In addition, we identified suitable body measurements that can be used to estimate body lengths, which is important for stock assessment, based on their accuracy and convenience of measurement. Generally, the linear models using log-transformed numbers outperformed those that used real numbers. We considered the performance of each conversion factor and port sampling situation, and suggested that the pectoral fin anterior margin and length between the prior base from the 1st to 2nd dorsal fins were the optimal body measurements to measure. The findings of the present study can help incorporate the length and weight data of various body measurements and increase the amount of length frequency data available for stock assessments of this species.</p>
Journal
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- Aquaculture Science
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Aquaculture Science 70 (2), 169-177, 2022
Japanese Society for Aquaculture Science
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Details 詳細情報について
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- CRID
- 1390859447990961280
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- NII Book ID
- AN00124667
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- ISSN
- 21850194
- 03714217
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- NDL BIB ID
- 032334481
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- JaLC
- IRDB
- NDL Search
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- Abstract License Flag
- Disallowed