​Discrimination of Five Gobid Species (Family: Gobiidae) based on Otolith Morphometry

2021 ◽  
Author(s):  
Vikas Pathak ◽  
Rinchen N. Bhutia ◽  
Shashi Bhushan ◽  
Geetanjali Deshmukhe ◽  
A.K. Jaiswar
Keyword(s):  
Fish Species ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Allometric Growth ◽  
Fish Size ◽  
Sagittal Otolith ◽  
Shape Indices ◽  
Glossogobius Giuris ◽  
Species Specific ◽  
Boleophthalmus Dussumieri

Background: The fishes of family Gobiidae are one of the least studied fishes, especially for otolith structure. The otoliths were possess species specific features. Hence, traits of sagittal otolith of gobid species studied. Methods: Five gobid species Odontamblyopus roseus (Valenciennes, 1837), Trypauchen vagina (Bloch and Schneider, 1801), Glossogobius giuris (Hamilton, 1822), Parachaeturichthys polynema (Bleeker, 1853) and Boleophthalmus dussumieri (Valenciennes, 1837) were investigated by three methods including morphological, shape indices and step wise discriminant function analysis (SDFA). Result: Interrelationship between shape indices investigated, at 95% level of confidence (P less than 0.05), revealed that perimeter of P. polynema and area of T. vagina have isometric growth with their length (b = 3.0071, 2.90, respectively) and otolith area of B. dussumieri have positive allometric growth (b = 4.23077). SDFA, based on otolith morphometry, discriminated species up with 97.18% accuracy. Hence, the results of present investigation can be used for discrimination of the species and as a tool in predicting fish size from the otoliths and in calculating the biomass of these less studied fish species.

Radioisotope X-Ray Fluorescence Spectrometry in Aquatic Biology: A Review

1971 ◽  
Vol 28 (10) ◽  
pp. 1583-1594 ◽  
Author(s):  
J. R. Calaprice ◽  
H. M. McSheffrey ◽  
L. A. Lapi
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Geographic Origin ◽  
Trace Element Composition ◽  
Fluorescence Spectrometry ◽  
X Ray ◽  
Inorganic Substances ◽  
Species Specific ◽  
Non Destructive

X-ray fluorescence spectrometry is described as an efficient means of carrying out non-destructive qualitative and quantitative chemical analyses of inorganic substances. A brief review is presented on the way in which this methodology was developed to recognize marked individuals and its application towards determining the geographic origin of organisms using multivariate analysis of the trace element composition of untagged animals. In addition, the results of experiments in which 34 species of invertebrates were compared and different parts of the same organisms irradiated, demonstrated that organisms may possess characteristic elemental compositions that are species specific. Multiple discriminant function analysis of the data showed that species may be classified on the basis of their chemical composition with few errors. Winter and summer growth of molluscan shells were distinguishable by the same method of elemental analysis, and a method for determining the age of organisms is given. Stepwise discriminant function analysis of the groups of elemental standards demonstrate that it is possible to isolate the most significant differences found between the groups compared by this methodology. The importance of these findings to studies in biogeochemistry, physiology, and pollution are briefly reviewed. X-ray fluorescence spectrometry is considered to be one of a number of related forms of data acquisition systems, each with broad applications.

Stock delineation of the long-whiskered catfish, Sperata aor (Hamilton 1822), from River Ganga by using morphometrics

2019 ◽  
Vol 70 (1) ◽  
pp. 107 ◽  
Author(s):  
M. Afzal Khan ◽  
Aafaq Nazir
Keyword(s):  
Discriminant Function ◽  
Fish Species ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Mantel Test ◽  
Morphometric Measurements ◽  
Distance Measurements ◽  
Morphometric Characters ◽  
Sampling Locations ◽  
River Ganga

Long-term isolation of populations and interbreeding can lead to morphometric variations among fish populations. This study was conducted with the objective to delineate stock structure of Sperata aor on the basis of morphometric characters, using truss network of the fish body. In total, 407 S. aor samples were collected from the four sampling locations of the Ganga River, viz. Narora, Kanpur, Varanasi and Bhagalpur. In total, 28 truss distance measurements were created by joining 13 morphometric landmarks on the fish body. MANCOVA showed significant (P<0.001) morphological variance among the sampling locations for the target fish species. Univariate ANOVA showed significant (P<0.001) differences in each of the morphometric measurements among the fish from different sampling locations. Wilk’s lambda test of canonical discriminant function analysis showed significant (P<0.001) differences in morphometric measurements of the fish from all sampling locations. Discriminant function analysis using Jackknife (leave-one-out) cross-validation classification showed 87.5% correct classification of the individuals into their original populations. Mantel test showed an overall good correlation between the genetic and morphometric datasets in the selected fish species. The results of this study can be employed in formulating stock-specific management strategies for S. aor from River Ganga.

Studies on morphological variation in three barbin fishes (Cyprinidae:Barbinae) from different water areas of Manipur, India 

2017 ◽  
Author(s):  
Ch. Basudha ◽  
N. Sobita and N. Sushindrajit
Keyword(s):  
Fish Species ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Geographic Distance ◽  
Descriptive Statistics ◽  
Individual Species ◽  
P Value ◽  
Morphometric Characters ◽  
Morphological Variations ◽  
Puntius Sophore

A total of two hundred and seventy samples of three barbin fish species viz. Puntius chola, Puntius sophore and Pethia manipurensis (Cyprinidae: Barbinae) were investigated for morphometric variations from nine different water areas of Manipur. Twenty reliable morphometric characters were measured in each sample and evaluated with individual species and compared same in each study area by various standard analyses of difference to examine the implication of morphometric variations among populations. The species wise and population wise descriptive statistics viz., mean, standard variation, standard error of mean and the Principle Component Analysis (PCA) were carried out. Among the morphometric characters, Pre dorsal length (LPRD), Orbital length (LO) and Post orbital length (LPO) are insignificant having p value of 0.217, 0.259 and 0.215 respectively. The result of first three components by PCA were 69.62 % (1st), 77.627 % (2nd) and 83.214 % (3rd) which are sufficient to describe the variation among the populations. Discriminant function analysis of the first two functions of various measurements of morphometric characters of three fish species under study reveals that specimens of Puntius chola and P. sophore have high morphological variations whereas specimens of Pethia manipurensis have more or less variations among the populations. The detected phenotypical divergence between specimens revealed the fact of existing of morphologically separated stocks within the samples may imply as a possibility among the extent of phenotypic heterogeneity and the geographic distance among the populations. The present study reveals that the population of two species, Puntius chola and P. sophore are separate stock as their geographical sites whereas the population of P. manipurensis is same stock in spite of different geographical sites.

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

scholarly journals Description of Echolocation Call Parameters for Urban Bats in Vietnam as a Step Towards a More Integrated Acoustic Monitoring of Urban Wildlife in Southeast Asia

Diversity ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 18
Author(s):  
Long Kim Pham ◽  
Bang Van Tran ◽  
Quy Tan Le ◽  
Trung Thanh Nguyen ◽  
Christian C. Voigt
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Quantitative Description ◽  
Southeast Asian ◽  
Asian Countries ◽  
Echolocation Call ◽  
Echolocation Calls ◽  
Pilot Work ◽  
Southeast Asian Countries

This study is the first step towards more systematic monitoring of urban bat fauna in Vietnam and other Southeast Asian countries by collecting bat echolocation call parameters in Ho Chi Minh and Tra Vinh cities. We captured urban bats and then recorded echolocation calls after releasing in a tent. Additional bat’s echolocation calls from the free-flying bats were recorded at the site where we captured bat. We used the obtained echolocation call parameters for a discriminant function analysis to test the accuracy of classifying these species based on their echolocation call parameters. Data from this pilot work revealed a low level of diversity for the studied bat assemblages. Additionally, the discriminant function analysis successfully classified bats to four bat species with an accuracy of >87.4%. On average, species assignments were correct for all calls from Taphozous melanopogon (100% success rate), for 70% of calls from Pipistrellus javanicus, for 80.8% of calls from Myotis hasseltii and 67.3% of calls from Scotophilus kuhlii. Our study comprises the first quantitative description of echolocation call parameters for urban bats of Vietnam. The success in classifying urban bats based on their echolocation call parameters provides a promising baseline for monitoring the effect of urbanization on bat assemblages in Vietnam and potentially also other Southeast Asian countries.

Mineralogy of Egyptian Bentonitic Clays I: Discriminant Function Analysis

2012 ◽  
Vol 60 (4) ◽  
pp. 387-404 ◽  
Author(s):  
Mohamed Agha ◽  
Ray E. Ferrell ◽  
George F. Hart
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis
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