KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/72725
Title: | Stock structure of small indigenous and near threatened Ailia coila (Hamilton, 1822) from Ganga and Brahmaputra river systems. |
Other Titles: | Not Available |
Authors: | Rinchen Nopu Bhutia, Sri Hari M, Nagesh Talagunda Srinivasan, Geetanjali Deshmukhe, Karankumar Ramteke, Shashi Bhushan and Asha Taterao Landge |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR: Central Institute of Fisheries Education |
Published/ Complete Date: | 2019-04-01 |
Project Code: | Not Available |
Keywords: | Stock, gangetic ailia, truss network analysis |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Ailia coila (Hamilton, 1822) commonly called as Gangetic ailia is a “Near Threatened” species in the IUCN Red list. Total of 421 samples were taken from the Ganga (Samudragarh and Farakka) and Brahmaputra (Dhubri and Guwahati) river systems for the present study. The landmark-based truss network system was employed to delineate the stock of this species. The truss network was constructed by using 12 landmarks and 25 truss distances were extracted. Factor analysis using varimax rotation for differentiating the population explained 74.53% of the total variation in the data from first three factors; with first, second and third factors contributing 56.32%, 10.83%, 7.38% of the variations respectively. The morphological difference between the stocks of this species was related to oblique depth measurement on the dorsal and anal fin, and also on the caudal peduncle region. Discriminant function analysis was employed to reveal the percentage correctly classified individuals on the respective locations. Overall classification rate is found to be good around 97.85%. The percentage correctly classified was highest in Samudragarh (100%) which was followed by Farakka, Dhubri and Guwahati. The results from this present study reveals the existence of difference stock in Ganga and Brahmaputra and it forms a baseline study for the stock-specific management measures. Further, genetic population structure of this species should be studied using molecular markers to validate the results. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Entomology and Zoology Studies |
Journal Type: | International |
Volume No.: | 7(3) |
Page Number: | 1600-1605 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/72725 |
Appears in Collections: | FS-CIFE-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.