Evidence of multiple stocks of catfish, Rita rita (Hamilton), from the Ganges Basin on the basis of an integrated analysis of truss morphometrics, otolith microchemistry, and otolith shape
B C , Salman Khan A E , M. Afzal Khan A * and Kaish Miyan D
+ Author Affiliations
- Author Affiliations
A Fish Biology and Otolith Research Laboratory, Department of Zoology, Aligarh Muslim University, Aligarh, UP 202002, India. Email: ankitaverma0405@gmail.com
B Centre for Marine Science and Innovation, UNSW Australia, Sydney, NSW 2052, Australia.
C Port Stephens Fisheries Institute, New South Wales Department of Primary Industries, Taylors Beach, NSW 2316, Australia. Email: hayden.schilling@dpi.nsw.gov.au
D Department of Zoology, Government Raza P.G. College, Rampur 244901, India. Email: kaishmiyan@gmail.com
E Present address: Department of Zoology, School of Life Science and Technology, IIMT University, Meerut 250001, India. Email: sksalman21@gmail.com
Marine and Freshwater Research 74(11) 969-981 https://doi.org/10.1071/MF22264
Submitted: 8 December 2022 Accepted: 22 May 2023 Published: 16 June 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing
Abstract
Context: Management of Rita rita (Hamilton) in India is hampered by a lack of understanding of possible stock structure.
Aim: To investigate possible spatial stock structure of Rita rita in the Ganges Basin.
Methods: Independent analyses of landmark-based truss morphometry, otolith elemental analysis and otolith shape were conducted to investigate the stock structure of the catfish (Rita rita) from the Ganga River and its tributaries Yamuna and Ramganga.
Key results: Each of the stock-delineation approaches, namely, truss morphometrics, otolith elemental composition and otolith shape, showed significant differences among the fish groups from three sampling locations (P ≤ 0.003). Despite these differences, reclassification analyses showed variable (although all greater than random) reclassification rates (truss morphometry: 78%, otoliths elemental data: 98%, otolith shape: 50%).
Conclusions: An integrated view of the three analyses suggested spatial structuring and that there may be multiple stocks of Rita rita in the Ganges Basin.
Implications: Future investigations should consider possible variations in demographic parameters that may affect fisheries management. The multiple-lines-of-evidence approach taken in this study can serve as a template for studies of other species in any region.
Keywords: Ganga River, otolith microchemistry, otolith shape, Ramganga, Rita rita, stock structure, truss network, Yamuna.
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