Morphometric analysis of Polish members of the Potentilla subsect. Collinae in Poland

Biologia ◽  
2010 ◽  
Vol 65 (2) ◽  
Author(s):  
Jeremi Kołodziejek
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Morphometric Analysis ◽  
Numerical Taxonomy ◽  
Principal Component ◽  
Morphological Characters ◽  
Length Ratio ◽  
Operational Taxonomic Units ◽  
Petal Length ◽  
Flower Diameter

AbstractMethods of numerical taxonomy, i.e. Cluster Analysis, Principal Component Analysis (PCA), Discriminant Function (DF) and Correspondence Analysis (CA), have been used to analyse 132 Operational Taxonomic Units of Potentilla subsect. Collinae. Among 53 morphological characters (20 quantitative and 33 qualitative), the most useful appeared following: bent inflorescence, flower diameter, width of epicalyx segments, length and width of petal, length ratio of calyx to petals, length ratio of calyx to epicalyx segments, shape of carpel style, presence of basal leaves during flowering, number of leaflets on basal leaves, upper and lower surfaces of leaf blades, pattern of pubescence of calyx, nervation of leaves as well as number and size of teeth of the central leaflet. The following taxa were distinguished in the investigated subsection: P. collina Wibel s.str.; P. thyrsiflora Hülsen ex Zimmeter; P. silesiaca R. Uechtr.; P. wimannania Günther et Schummel; P. leucopolitana P.J. Müll.; P. karoi R. Uechtr. ex Zimmeter; P. schultzii P.J. Müll. ex F. W. Schultz; P. koernickei R. Uechtr. ex Zimmeter; P. leucopolitanoides Błocki; P. ×sholziana Callier; P. leucopolitana P.J. Müller × P. incana P. Gaertner, B. Meyer & Scherb.); P. × tynieckii Błocki (P. argentea L. × P. leucopolitana P.J. Müll.).

scholarly journals A phenetic study of the genus Rasahus Amyot & Serville (Heteroptera, Reduviidae)

1990 ◽  
Vol 1 (3) ◽  
pp. 131-144
Author(s):  
María Coscarón
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Basal Plate ◽  
Using Data ◽  
Diagnostic Importance

Cluster analysis by four methods and a principal component analysis were performed using data on 24 morphological characters of 27 species of the genus Rasahus (Peiratinae). The results obtained by the different techniques show general agreement. They confirm the present number of taxa and reveal the existence within the genus of three groups of species: scutellaris , hamatus and vittatus. The scutellaris group is constituted by R. aeneus (Walker), R. maculipennis (Lepelletier and Serville), R. bifurcatas Champion, R. castaneus Coscarón, R. guttatipennis (Stål), R. flavovittarus Stål, R. costarricensis Coscarón, R. scutellaris (Fabricius), R. atratus Coscarón, R. peruensis Coscarón, R. paraguayensis Coscarón, R. surinamensis Coscarón, R. albomaculatus Mayr, R. brasiliensis Coscarón and R. sulcicollis (Serville).The hamatus group contains R. rufiventris (Walker), R. hamatus (Fabricius), R. amapaensis Coscarón, R. arcitenens Stål, R. limai Pinto, R. angulatus coscarón, R. thoracicus Stål, R. biguttatus (Say), R. arcuiger (Stål), R. argentinensis Coscarón and R. grandis Fallou. The vittatus group contains R. vittatus Coscarón. The characters used to separate the groups of species are: shape of the pygophore, shape of the parameres, basal plate complexity, shape of the postocular region and hemelytra pattern. Illustrations of the structures of major diagnostic importance are included.

scholarly journals Use of Highly Discriminating Morphological Characters and Isozymes in the Study of Spanish Chestnut Cultivars

2006 ◽  
Vol 131 (6) ◽  
pp. 770-779 ◽  
Author(s):  
Santiago Pereira-Lorenzo ◽  
María Belén Díaz-Hernández ◽  
Ana María Ramos-Cabrer
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Castanea Sativa ◽  
Principal Component ◽  
Market Value ◽  
Morphological Characters ◽  
Minor Importance ◽  
Breeding Programs ◽  
And Cluster Analysis

Morphological characters (six traits) and isozymes (four systems, five loci) were used to discriminate between Spanish chestnut cultivars (Castanea sativa Mill.) from the Iberian Peninsula. A total of 701 accessions (representing 168 local cultivars) were analyzed from collections made between 1989 and 2003 in the main chestnut growing areas: 31 were from Andalucía (12 cultivars), 293 from Asturias (65 cultivars), 25 from Castilla-León (nine cultivars), four from Extremadura (two cultivars) and 348 from Galicia (80 cultivars). Data were synthesized using multivariate analysis, principal component analysis, and cluster analysis. A total of 152 Spanish cultivars were verified: 58 cultivars of major importance and 94 of minor importance, of which 18 had high intracultivar variation. Thirty-seven cultivars were clustered into 14 synonymous groups. Six of these were from Galicia, one from Castilla-León (El Bierzo), four from Asturias, one from Asturias and Castilla-León (El Bierzo), and two from Asturias, Castilla-León (El Bierzo), and Galicia. The chestnut cultivars from Galicia and Asturias were undifferentiated in genetic terms, indicating that they are not genetically isolated. Overall, chestnut cultivars from southern Spain showed the least variation. Many (58%) of Spanish cultivars produced more than 100 nuts/kg; removing this low market-value character will be a high priority. The data obtained will be of use in chestnut breeding programs in Spain and elsewhere.

scholarly journals Numerical taxonomy of Abelmoschus Medik. (Malvaceae) in India

2015 ◽  
Vol 22 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Pravin Patil ◽  
Shrikant Sutar ◽  
Surendra Kumar Malik ◽  
Joseph John ◽  
Shrirang Yadav ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Morphometric Analysis ◽  
Numerical Taxonomy ◽  
The Other ◽  
Species Relationships ◽  
Operational Taxonomic Units ◽  
Plant Taxon ◽  
Maximum Similarity ◽  
First Time ◽  
Stem Leaf

In the present study, numerical taxonomy approach has been used for the first time to access the taxonomy and species relationships of Abelmoschus. Sixteen Abelmoschus taxa were subjected to cluster analysis using 52 diagnostic characters related to root, stem, leaf, flower, fruit and seed. In this analysis, the first six principal components (PCs) accounted for the total variance of 79.22%. Similarity values for all 17 operational taxonomic units (OTUs) ranged from 0.18 to 0.82 with an average of 0.34. Abelmoschus sagittifolius showed maximum similarity value of 0.82 with A. moschatus subsp. tuberosus. On the other hand, minimum similarity values (0.18) were observed between A. tuberculatus and A. moschatus subsp. tuberosus, A. tuberculatus and A. sagittifolius, A. palianus and A. moschatus subsp. tuberosus, and A. palianus and A. sagittifolius. Neighbour joining (NJ) cluster analysis clearly discriminated 17 OTUs into four major clusters. The present study also validates the utility of morphometric analysis of Abelmoschus with respect to the taxonomy and species relationships.Bangladesh J. Plant Taxon. 22(2): 87-98, 2015 (December)

Crouching theropod at the seaside. Matching footprints with metatarsal impressions and theropod authopods: a morphometric approach

2016 ◽  
Vol 154 (5) ◽  
pp. 946-962 ◽  
Author(s):  
M. ROMANO ◽  
P. CITTON
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Morphometric Analysis ◽  
Cognitive Process ◽  
Central Italy ◽  
Principal Component ◽  
Taxonomic Group ◽  
Considerable Potential ◽  
And Cluster Analysis ◽  
Definition Of

AbstractWe compare theropod footprints with elongate metatarsal prints from central Italy with known autopod structures in major theropod groups, in order to more accurately define the trackmaker attribution. Our work, using morphometric analysis, shows the considerable potential of explorative methods such as PCA (principal component analysis) and cluster analysis when describing important characters for a given taxonomic group (body and ichnofossils) and identifying important anatomical regions. Moreover, the results of the analysis suggest that the putative trackmaker is likely a member of Ornithomimosauria, with significant affinities in the posterior autopod structure with the genus Struthiomimus. The fundamental importance of integrating both osteological and ichnological data, when investigating locomotor and behavioural hypotheses, is highlighted. This approach could also contribute positively to the complex cognitive process of trackmaker identification and be favourable for the attainment of a more natural definition of ichnotaxa.

scholarly journals Variation on morphology and spore characters of Dicranopteris and Sticherus (Gleicheniaceae) from Rokan Hulu District, Riau, Indonesia

2021 ◽  
Vol 22 (10) ◽  
Author(s):  
Afni Atika Marpaung ◽  
Ratna Susandarini
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Morphological Variations ◽  
Phenetic Relationships ◽  
The Family ◽  
Taxonomic Approach

Abstract. Marpaung AA, Susandarini R. 2021. Variation on morphology and spore characters of Dicranopteris and Sticherus (Gleicheniaceae) from Rokan Hulu District, Riau. Biodiversitas 22: 4475-4486. Dicranopteris and Sticherus are genera in the family Gleicheniaceae which have unique habits and distinctively specific growth with the presence of a bud on the forking branches. This study aims to reveal the species diversity of Gleicheniaceae members found in the forest area of Bukit Suligi Tandun, Rokan Hulu District, Riau and to document variations in their morphological characters and spores. Eleven collections were obtained from the exploration in the study area. The identification of plant specimens showed that these eleven taxa consisted of Dicranopteris curranii, Dicranopteris speciosa, seven varieties of Dicranopteris linearis, and two varieties of Sticherus truncatus. Seven varieties within D. linearis were D. linearis var. linearis, D. linearis var. alternans, D. linearis var. altissima, D. linearis var. demota, D. linearis var. inaequalis, D. linearis var. subspeciosa, and D. linearis var. tetraphylla. The only one species of Sticherus found was S. truncatus which consisted of two varieties, namely S. truncatus var. truncata and S. truncatus var. involuta. Morphological characters were observed from fertile specimens, while spore characters were observed from spore microscopic slides prepared using acetolysis method. There were 42 morphological characters and spores examined and used as the basis for determining the phenetic relationships using cluster analysis and principal component analysis. The results of cluster analysis showed the formation of two clusters that clearly separated the genus Sticherus from Dicranopteris. The three species of Dicranopteris were also clearly separated from each other in different sub-clusters. The result of principal component analysis indicated characters that contribute to the grouping of the eleven taxa and was able to explain the distinguishing characters in each group recognized from the cluster analysis. Overall, the results of this study contributed to documenting in detail the morphological variations in sporophyte and spore characters in eleven taxa of Dicranopetris and Sticherus, as well as proving the role of morphological and spore characters in the classification and defining phenetic relationships using numerical taxonomic approach.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

Quality evaluation of tugaksheeree samples by ATR-FTIR spectroscopy using multicomponent analysis

2020 ◽  
Vol 10 ◽  
Author(s):  
Nikunj D. Patel ◽  
Niranjan S. Kanaki
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Quality Evaluation ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Attenuated Total Reflectance ◽  
Chemometric Methods ◽  
Total Reflectance ◽  
Fingerprint Region ◽  
Ftir Technique

Background: Numerous Ayurvedic formulations contains tugaksheeree as key ingredient. Tugaksheereeis the starch gained from the rhizomes of two plants, Curcuma angustifoliaRoxb. (Zingiberaceae) and Marantaarundinacea (MA) Linn. (Marantaceae). Objective: The primary concerns in quality assessment of Tugaksheeree occur due to adulteration or substitution. Method: In current study, Fourier transform infrared (FTIR) technique with attenuated total reflectance (ATR) facility was used to evaluate tugaksheeree samples. Total 10 different samples were studied and transmittance mode was kept to record the spectra devoid of pellets of KBR. Further treatment was given with multi component tools by considering fingerprint region of the spectra. Multivariate analysis was performed by various chemometric methods. Result: Multi component methods like Principal Component Analysis (PCA), and Hierarchical Cluster Analysis (HCA)were used to discriminate the tugaksheeree samples using Minitab software. Conclusion: This method can be used as a tool to differentiate samples of tugaksheeree from its adulterants and substitutes.

Sign in / Sign up

Export Citation Format

Share Document