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<p>The shrimp scad <i>Alepes djedaba</i> (Forsskål, 1775) constitutes an important component of trawl bycatch and holds significant commercial value along the Indian coastline. The present study aimed to examine the stock structure of <i>A. djedaba</i> along the South Konkan coast of Maharashtra, India, using truss morphometry. A total of 225 fish specimens were randomly collected from the major fish landing centers from three locations, namely Harnai, Ratnagiri and Malvan. An 11 point truss network with 25 truss morphometric measurements was investigated. The fish populations were effectively segregated using multivariate statistical approaches, including Principal Component Analysis (PCA) and Discriminant Function Analysis (DFA). The results demonstrated clear morphological differentiation among the sampled regions, as supported by DFA, indicates the occurrence of region-specific morphological stocks. These findings highlight the significance and precision of morphometric techniques as a powerful tool for accurately segregating fish populations based on morphological variations and demonstrate that truss morphometry can be used to differentiate fish stocks within a relatively restricted geographic range, revealing phenotypic variations and aiding in stock management. Further research incorporating genetic data and environmental factors is recommended to fully elucidate the stock structure and ensure the sustainable management of this species, thereby providing a basis for improved fisheries management and conservation strategies.</p>

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Morphological Diversity and Stock Structure of Shrimp scad, Alepes djedaba (Forsskål, 1775) from the Coast of Maharashtra, Western India

  • 期刊论文

  • 发表日期：

    2026年6月23日

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  • Shraddha Suryawanshi,
  • Santosh Metar,
  • Vivek Nirmale,
  • Ravindra Pawar,
  • Shardul Gangan

摘要

The shrimp scad Alepes djedaba (Forsskål, 1775) constitutes an important component of trawl bycatch and holds significant commercial value along the Indian coastline. The present study aimed to examine the stock structure of A. djedaba along the South Konkan coast of Maharashtra, India, using truss morphometry. A total of 225 fish specimens were randomly collected from the major fish landing centers from three locations, namely Harnai, Ratnagiri and Malvan. An 11 point truss network with 25 truss morphometric measurements was investigated. The fish populations were effectively segregated using multivariate statistical approaches, including Principal Component Analysis (PCA) and Discriminant Function Analysis (DFA). The results demonstrated clear morphological differentiation among the sampled regions, as supported by DFA, indicates the occurrence of region-specific morphological stocks. These findings highlight the significance and precision of morphometric techniques as a powerful tool for accurately segregating fish populations based on morphological variations and demonstrate that truss morphometry can be used to differentiate fish stocks within a relatively restricted geographic range, revealing phenotypic variations and aiding in stock management. Further research incorporating genetic data and environmental factors is recommended to fully elucidate the stock structure and ensure the sustainable management of this species, thereby providing a basis for improved fisheries management and conservation strategies.