Stock structure analysis of Labeo rohita (Hamilton, 1822) across the Ganga basin (India) using a truss network system

2013 ◽  
Vol 29 (5) ◽  
pp. 1097-1103 ◽  
Author(s):  
J. I. Mir ◽  
U. K. Sarkar ◽  
A. K. Dwivedi ◽  
O. P. Gusain ◽  
J. K. Jena
Keyword(s):  
Structure Analysis ◽  
Labeo Rohita ◽  
Network System ◽  
Stock Structure ◽  
Ganga Basin ◽  
Truss Network System

scholarly journals Social Network Supported Process Recommender System

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yanming Ye ◽  
Jianwei Yin ◽  
Yueshen Xu
Keyword(s):  
Social Network ◽  
Structure Analysis ◽  
Business Process ◽  
Recommender System ◽  
Process Modeling ◽  
Network System ◽  
The Social ◽  
Social Features ◽  
Matching Degree ◽  
Process Structure

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.

scholarly journals Length-weight relationships of the Indian Major Carp, Labeo rohita (Cypriniformes: Cyprinidae) from six drainages of Ganga basin, India

2015 ◽  
Vol 7 (1) ◽  
pp. 71-77
Author(s):  
Javaid Iqbal Mir ◽  
Uttam Kumar Sarkar ◽  
Om Prakash Gusain ◽  
Arvind Kumar Dwivedi
Keyword(s):  
Labeo Rohita ◽  
Main Channel ◽  
Coefficient Of Determination ◽  
Important Food ◽  
Indian Major Carp ◽  
Ganga Basin ◽  
Natural Range ◽  
Food Fish ◽  
Management And Conservation ◽  
Tropical Freshwater

The Indian Major Carp, Labeo rohita, is a geographically widespread and economically important food fish species in tropical freshwater of India and adjacent countries. We studied the lengthweightrelationships of 1 033 specimens collected from the main channel of Ganga river and its five major drainages from March 2009 to July 2012. The length of males ranged from 16 to 92cm (females: 16to 94cm). The growth is allometric positive (b>3) for males, females and pooled sexes. The coefficient of determination (r2) in males ranged from 0,978 to 0,989 and for females from 0,958 to 0,985. Data from field populations are scarce and our results will be useful in the management and conservation of L. rohita populations in its natural range.

scholarly journals Morphological plasticity in a wild freshwater fish, Systomus sarana (Cyprinidae) from India: a glimpse through advanced morphometric toolkits 

2020 ◽  
Author(s):  
Deepmala Gupta ◽  
Arvind Kumar Dwivedi ◽  
Madhu Tripathi
Keyword(s):  
Geometric Morphometrics ◽  
Freshwater Fish ◽  
Function Analysis ◽  
Morphological Plasticity ◽  
Partial Least Square ◽  
Least Square ◽  
Fish Populations ◽  
Network System ◽  
Morphometric Characters ◽  
Truss Network System

Abstract Background: Body morphology supposed to underpin wide differences in animal performance that can be used to understand the diversification of characters. Further, identifying the fish population with unique shape due to variations in their morphometric characters enable better management of these subunits. Advanced statistical toolkits of morphometry called truss network system and geometric morphometrics have been increasingly used for detecting variations in morphological traits between subunits of fish populations. The present study was therefore carried out with the objective of determining phenotypically distinct units of freshwater fish Systomus sarana collected from geographically isolated locations.Methods: In the present study, 154 specimens of olive barb, S. sarana were collected from four distantly located rivers covering the northern (Ganga), southern (Godavari), central (Narmada), and eastern (Mahanadi) regions of India. Truss-network system and geometric morphometrics have been utilized. Fourteen landmarks were digitized uniformly on each specimen. In the present study, the truss network system yielded size-corrected morphometric characters that were subjected to univariate and multivariate statistical assessment. Results: Analysis of variance (ANOVA) presented significant differences among 63 out of 90 variables (p<0.05). Truss approach includes principal component analysis (PCA) and discriminant function analysis (DFA) while the geometric approach includes PCA, DFA, canonical variate analysis (CVA), partial least square (PLS), the relative warp (RW), and wireframes. CVA extracted Mahalanobis and Procrustes distances among groups found to be highly significant (p<0.0001). In linear DFA, the overall assignment of correctly classified individuals into their original groups was 86.2% for Ganga, 86.1% for the Godavari, 93.9% for the Narmada, and 92.9% for the Mahanadi population. Conclusions: The results revealed significant variations in the morphometric characters which were reflected in the shape of different body features of the studied populations. Both methods revealed analogous results and significant differences among groups in examined features. Our results suggest that S. sarana shows morphological plasticity across different rivers in India. This study supports the concept that geographical isolation among fish populations can lead to morphological variations.

Stock structure analysis of Priacanthus hamrur (Forsskal, 1775) along the Indian coast based on truss morphometry

2020 ◽  
Vol 62 (1) ◽  
pp. 127-130
Author(s):  
Abhijit Mallik ◽  
◽  
Shashi Bhushan ◽  
Puja Chakraborty ◽  
A. K. Jaiswar ◽  
...  
Keyword(s):  
Structure Analysis ◽  
Stock Structure ◽  
Indian Coast

scholarly journals Stock Structure Analysis of Indian Mackerel, Rastrelliger kanagurta (Cuvier, 1816) along the Indian Coast

2011 ◽  
Vol 24 (3) ◽  
Author(s):  
A.M. SAJINA ◽  
S.K. CHAKRABORTY ◽  
A.K. JAISWAR ◽  
D.G. PAZHAYAMADAM ◽  
DEEPA SUDHEESAN
Keyword(s):  
Structure Analysis ◽  
Stock Structure ◽  
Indian Coast ◽  
Indian Mackerel ◽  
Rastrelliger Kanagurta
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