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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/33698
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vaisakh, G. | en_US |
dc.contributor.author | Chakraborty, S.K. | en_US |
dc.contributor.author | Jaiswar, A. K. | en_US |
dc.contributor.author | Sibina Mol, S. | en_US |
dc.contributor.author | Renjith, R. K. | en_US |
dc.contributor.author | Sreekanth, G.B. | en_US |
dc.date.accessioned | 2020-03-09T05:22:04Z | - |
dc.date.available | 2020-03-09T05:22:04Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.citation | Vaisakh, G., Chakraborty, S.K., Jaiswar, A. K., Sibina Mol, S., Renjith, R. K. and Sreekanth, G. B. (2019) Stock structure analysis of Nemipterus bipunctatus (Valenciennes, 1830) from three locations along the Indian coast. INDIAN J MAR SCI. 48(12):1888-1895. | en_US |
dc.identifier.issn | 0975-1033 (Online) 0379-5136 (Print) | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/33698 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Present study was done to identify the occurrence of various stocks of Nemipterus bipunctatus along the Indian coast, based on their body and skull shape morphometrics. Fish samples were collected from three locations along the Indian coast viz. Chennai along the East coast and Mumbai and Veraval on the West coast. Twenty truss distances from nine-point truss network of body and twenty-one truss distances from eleven-point truss network of the skull were measured from each fish sample. The canonical discriminant analysis showed that the truss distances belong to the anterior region and caudal peduncle of body and olfactory region of skull were significant in separating the fish stocks. The artificial neural network analysis revealed 91.4 per cent and 86.14 per cent well classification of the specimen, based on the truss distances of body and skull respectively. The results from the study indicated that there is a significant difference among the stocks of N. bipunctatus. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | National Institute of Science Communication and Information Resources (NISCAIR) | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Body morphometry | en_US |
dc.subject | Delagoa threadfin bream | en_US |
dc.subject | Nemipterus bipunctatus | en_US |
dc.subject | Skull morphometry | en_US |
dc.subject | Stock structure | en_US |
dc.subject | Truss network analysis | en_US |
dc.title | Stock structure analysis of Nemipterus bipunctatus (Valenciennes, 1830) from three locations along the Indian coast | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Indian Journal of Geo-Marine Sciences | en_US |
dc.publication.volumeno | 48(12) | en_US |
dc.publication.pagenumber | 1888-1895 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | ICAR-Central Inland Fisheries Research Institute RRC, Vadodara, Gujarat, 390022, India | en_US |
dc.publication.authorAffiliation | ICAR-Central Institute of Fisheries Education, Mumbai, Maharashtra, 400 061, India | en_US |
dc.publication.authorAffiliation | ICAR-Central Inland Fisheries Research Institute RRC, Bengaluru, Karnataka, 390022, India | en_US |
dc.publication.authorAffiliation | ICAR-Central Institute of Fisheries Technology, Willington Island, Kochi, 682 029, India | en_US |
dc.publication.authorAffiliation | ICAR-Central Coastal Agricultural Research Institute, Old Goa, Goa, 403 402, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 6.33 | en_US |
Appears in Collections: | FS-CIFT-Publication |
Files in This Item:
File | Description | Size | Format | |
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Stock structure analysis of Nemipterus bipunctatus.pdf | 506.24 kB | Adobe PDF | View/Open |
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