Morphometric variations between seasonal migrants of anadromous shad Tenualosa ilisha (Hamilton, 1822) from Hooghly Estuary, India

2019 ◽  
Vol 70 (10) ◽  
pp. 1427 ◽  
Author(s):  
A. K. Dwivedi
Keyword(s):  
Principal Component Analysis ◽  
Function Analysis ◽  
Monsoon Season ◽  
Principal Component ◽  
Canonical Variate ◽  
Hooghly Estuary ◽  
Fish Samples ◽  
Variate Analysis ◽  
Tenualosa Ilisha ◽  
Relative Warps

The morphometric variations between two seasonal migrants (winter and monsoon) of anadromous shad Tenualosa ilisha from Hooghly Estuary were evaluated and compared using geometric morphometrics (GM). Altogether, 128 fish samples of T. ilisha, comprising 64 samples each from winter and the monsoon season, were collected for two successive years (2017 and 2018) and 14 landmarks were digitised uniformly on each individual. Relative warps (RW), principal component analysis (PCA), canonical variate analysis (CVA) and discriminant function analysis (DFA) were used to determine shape variations between seasonal runs. The deformation grid of RW showed that monsoon specimens have a deeper body profile, whereas winter specimens have a slender body profile. The PCA showed low variance (40.45% for first two principal components) and high overlap among all the groups. The CVA-extracted Mahalanobis and Procrustes distances (3.473 and 0.032 respectively) between the two groups (winter and monsoon) were highly significant (P<0.0001). The DFA also separated two groups with high cross-validated classification rates (85.94 and 95.31% of winter and monsoon specimens respectively were correctly classified). Hence, the results of RW, CVA and DFA clearly indicate the existence of two morphologically distinct units of T. ilisha in Hooghly Estuary.

scholarly journals Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.

2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Daniel Vieira de Morais ◽  
Lorena Andrade Nunes ◽  
Vandira Pereira da Mata ◽  
Maria Angélica Pereira de Carvalho Costa ◽  
Geni da Silva Sodré ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Geometric Morphometrics ◽  
Cross Validation ◽  
Abiotic Factors ◽  
Principal Component ◽  
Canonical Variate ◽  
Validation Test ◽  
Significant Difference ◽  
Variate Analysis ◽  
Geographical Distances

Leaves are plant structures that express important traits of the environment where they live. Leaf description has allowed identification of plant species as well as investigation of abiotic factors effects on their development, such as gases, light, temperature, and herbivory. This study described populations of Dalbergia ecastaphyllum through leaf geometric morphometrics in Brazil. We evaluated 200 leaves from four populations. The principal component analysis (PCA) showed that the first four principal components were responsible for 97.81% of variation. The non-parametric multivariate analysis of variance (NPMANOVA) indicated significant difference between samples (p = 0.0001). The Mentel test showed no correlation between geographical distances and shape. The canonical variate analysis (CVA) indicated that the first two variables were responsible for 96.77 % of total variation, while the cross-validation test showed an average of 83.33%. D. ecastaphyllum leaves are elliptical and ovate.

Biosystematics of the Cotesia flavipes species complex (Hymenoptera: Braconidae): morphometrics of selected allopatric populations

1997 ◽  
Vol 87 (1) ◽  
pp. 61-66 ◽  
Author(s):  
Susan W. Kimani-Njogu ◽  
William A. Overholt ◽  
James Woolley ◽  
Annette Walker
Keyword(s):  
Principal Component Analysis ◽  
Species Complex ◽  
Principal Component ◽  
Cotesia Flavipes ◽  
Canonical Variate Analysis ◽  
Canonical Variate ◽  
Allopatric Populations ◽  
Putative Species ◽  
Variate Analysis ◽  
China And Japan

AbstractMorphometric studies of allopatric populations of the Cotesia flavipes species complex representing three putative species; C. flavipes Cameron, C. sesamiae (Cameron) and C. chilonis (Matsumura), were conducted. Sixteen characters were measured. Principal component analysis separated the complex into three somewhat overlapping groups that corresponded well with previous concepts of the species. Canonical variate analysis separated the complex into three distinct clusters with populations from Africa together, populations from Asia and the Neotropics forming a second cluster, and material from China and Japan forming a third cluster. The Mahalanobis squared distances between the three clusters were nearly equal. Results support recognition of three species in the C. flavipes complex.

scholarly journals Morphological Discrimination of Greek Honey Bee Populations Based on Geometric Morphometrics Analysis of Wing Shape

2014 ◽  
Vol 58 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Leonidas Charistos ◽  
Fani Hatjina ◽  
Maria Bouga ◽  
Mica Mladenovic ◽  
Anastasios D. Maistros
Keyword(s):  
Principal Component Analysis ◽  
Geometric Morphometrics ◽  
Honey Bee ◽  
Principal Component ◽  
Component Analysis ◽  
Canonical Variate Analysis ◽  
Procrustes Analysis ◽  
Canonical Variate ◽  
Wing Vein ◽  
Variate Analysis

Abstract Honey bees collected from 32 different localities in Greece were studied based on the geometric morphometrics approach using the coordinates of 19 landmarks located at wing vein intersections. Procrustes analysis, principal component analysis, and Canonical variate analysis (CVA) detected population variability among the studied samples. According to the Principal component analysis (PCA ) of pooled data from each locality, the most differentiated populations were the populations from the Aegean island localities Astypalaia, Chios, and Kythira. However, the populations with the most distant according to the canonical variate analysis performed on all measurements were the populations from Heraklion and Chania (both from Crete island). These results can be used as a starting point for the use of geometric morphometrics in the discrimination of honey bee populations in Greece and the establishment of conservation areas for local honey bee populations.

scholarly journals Comparison of Wing, Ovipositor, and Cornus Morphologies between Sirex noctilio and Sirex nitobei Using Geometric Morphometrics

Insects ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 84
Author(s):  
Ming Wang ◽  
Lixiang Wang ◽  
Ningning Fu ◽  
Chenglong Gao ◽  
Tegen Ao ◽  
...  
Keyword(s):  
Geometric Morphometrics ◽  
North Africa ◽  
Principal Component ◽  
Canonical Variate ◽  
Native Range ◽  
Sirex Noctilio ◽  
Variate Analysis ◽  
Global Presence ◽  
And Cluster Analysis ◽  
Taxonomic Studies

Sirex noctilio F. (Hymenoptera: Siricidae) is an invasive woodwasp from Europe and North Africa. Globalization has led to an expanding global presence in pine forests. S. noctilio has been previously introduced outside of its native range and now co-occurs in trees with native S. nitobei Matsumura (first discovered in 2016). Damage to Pinus sylvestris var. mongolica Litv in northeast China can be attributed to two types of woodwasp. To distinguish the two species by the traditional taxonomic morphology, we mainly differentiate the color of the male’s abdomen and the female’s leg. There remains intraspecific variation like leg color in the delimitation of related genera or sibling species of Sirex woodwasps. In this study, we used landmark-based geometric morphometrics including principal component analysis, canonical variate analysis, thin-plate splines, and cluster analysis to analyze and compare the wings, ovipositors, and cornus of two woodwasps to ascertain whether this approach is reliable for taxonomic studies of this group. The results showed significant differences in forewing venation and the shapes of pits in the middle of ovipositors among the two species, whereas little difference in hindwings and cornus was observed. This study assists in clarifying the taxonomic uncertainties of Siricidae and lays a foundation for further studies of the interspecific relationships of the genus Sirex.

scholarly journals Morphological and molecular identification of hairtail (Trichiurus spp.) caught in Pangandaran Waters

2020 ◽  
Vol 147 ◽  
pp. 02021
Author(s):  
Tia Aprianti Lestari ◽  
Murwantoko Murwantoko ◽  
Eko Setyobudi
Keyword(s):  
Principal Component Analysis ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Molecular Identification ◽  
Principal Component ◽  
Component Analysis ◽  
Rrna Gene ◽  
Morphometric Variation ◽  
Dorsal Fin ◽  
Fish Samples

This study aimed to identify the species of hairtail caught in Pengandaran waters based on morphological, meristic character and molecular approach. In total 135 fish samples were collected from Pangandaran Waters, during March-April 2017. Each sample was identified, measured on 22 morphometric and 4 meristic characters, then analyzed using Principal Component Analysis (PCA). Molecular identification was conducted by sequenced of 16S rRNA gene. The result of the research showed that hairtail characterized by III spines and 125-140 soft rays of dorsal fin (D.III, 125-140), the anal fin situated below 38th to 41th of dorsal-fin soft ray, I spine and 10 soft rays of pectoral fin (P.I.10), and I spine and 91 to 112 spinules of anal fin (A.I.91-112). Based on the morphological identification, the hairtail was belonged to Trichiurus lepturus. Principal Component Analysis showing the morphometric variation was presented in the caudal peduncle length. Molecular analysis of mitochondrial DNA of the partial 16S rRNA gene confirmed the hairtail as T. lepturus with similarity 98-99% based on previously published data. Phylogenetic analysis showed that T. lepturus from Pangandaran were closely similar to related species caught from the Southern Coast of Yogyakarta Special Territory (Indian Ocean) and Hainan China (Pacific Ocean).

Multi-Variate Analysis of Trace Elements from XRF Studies for Classification According to Origin

1992 ◽  
Vol 46 (5) ◽  
pp. 843-847 ◽  
Author(s):  
C. T. Yap
Keyword(s):  
Principal Component Analysis ◽  
Trace Elements ◽  
Geographical Origin ◽  
Principal Component ◽  
Energy Dispersive ◽  
Fluorescence Technique ◽  
X Ray ◽  
Elegant Method ◽  
Variate Analysis ◽  
Made In

The concentrations of twelve trace elements (Mn, Fe, Co, Ni, Cu, Zn, As, Rb, Sr, Y, Zr, and Nb) in 143 pieces of Chinese porcelain made in Jingdezhen, China and elsewhere were obtained with the use of the energy-dispersive x-ray fluorescence technique. An elegant method of multi-variate analysis, known as principal component analysis, was successfully employed in fingerprinting the geographical origin of the porcelain samples.

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