scholarly journals NUMERICAL TAXONOMY OF GENUS FICUS L. 1753 (MORACEAE), WITH ADDITION NEW RECORD SPECIES TO EGYPT

2021 ◽  
Vol 16 (4) ◽  
pp. 429-467
Author(s):  
Ashraf T. Soliman ◽  
◽  
Rim S. Hamdy ◽  
Riham A. Mahdy ◽  
◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Multivariate Analyses ◽  
Morphological Variability ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Plant Systematics ◽  
Leaf Margin ◽  
New Record Species ◽  
Leaf Arrangement ◽  
Qualitative Characters

The taxonomy of Ficus L., 1753 species is confusing because of the intense morphological variability and the ambiguity of the taxa. This study handled 36 macro-morphological characteristics to clarify the taxonomic identity of the taxa. The study revealed that Ficus is represented in the Egyptian gardens with forty-one taxa; 33 species, 4 subspecies and 4 varieties, and classified into five subgenera: Ficus Corner, 1960; Terega Raf., 1838; Sycomorus Raf., 1838; Synoecia (Miq.) Miq., 1867, and Spherosuke Raf.,1838; out of them seven were misidentified. Amongst, four new Ficus taxa were recently introduced to Egypt namely: F. lingua subsp. lingua Warb. ex De Wild. & T. Durand, 1901; F. pumila L., 1753; F. rumphii Blume, 1825, and F. sur Forssk., 1775. The application of the multivariate analyses in plant systematics namely the two-way clustering analysis and the principal component analysis revealed that the qualitative characters as the presence or absence of lateral peduncular or ostiolar bracts and the leaf margin delimit the differentiation of subgenera within genus Ficus. Whereas the qualitative characters of the leaf as leaf arrangement, lamina shape, length, ratio of length to width, base, apex, number of lateral veins, stipules and figs either pedunculate or sessile, shape, and width are significantly separating the species within the different sections. Seven different identification keys of the studied taxa based on the examined characters are provided. In addition, a diagrammatic key for all the studied taxa is given.

scholarly journals Morphological variability of acorns and its taxonomic significance in Quercus. from Turkey

2015 ◽  
Vol 43 (3) ◽  
pp. 293-299 ◽  
Author(s):  
Y Bakis ◽  
MT Babaç
Keyword(s):  
Principal Component Analysis ◽  
Morphological Variability ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Component Analysis ◽  
Morphological Characters ◽  
Taxonomic Significance ◽  
Morphological Variations ◽  
Quercus Species ◽  
Different Populations

Morphological variations of acorn among and within the groups of Quercus species were studied. A total of 617 acorns belonging to 14 species representing all 3 sections of Quercus L. (Fagaceae) in Turkey were examined in this study. Specimens were collected from 47 different populations over both Anatolian and Thrace part of Turkey. Principal component analysis was used to analyze the morphological characteristics of acorns. Results obtained from this study demonstrate the use of morphological characters in differentiating the taxa of Quercus and Cerris sections studied. Another important finding is the introgression among the acorns of species within Quercus section DOI: http://dx.doi.org/10.3329/bjb.v43i3.21601 Bangladesh J. Bot. 43(3): 293-299, 2014 (December)

scholarly journals Morphological variability of recent species of the order Cassiduloida (Echinodermata: Echinoidea) of Mexico

2021 ◽  
Vol 69 (Suppl.1) ◽  
pp. 423-437
Author(s):  
Andrea-Alejandra Caballero-Ochoa ◽  
Blanca-E. Buitrón-Sánchez ◽  
Carlos-A. Conejeros-Vargas ◽  
Brenda-L. Esteban-Vázquez ◽  
Mariana-P. Ruiz-Nava ◽  
...  
Keyword(s):  
Direct Relationship ◽  
Morphological Variability ◽  
Principal Component ◽  
Morphological Characters ◽  
Morphometric Characters ◽  
Living Species ◽  
Qualitative Characters ◽  
Recent Species ◽  
Taxonomic Studies ◽  
Character Correlations

ntroduction: In Mexico, there are two recorded living species of Cassiduloida: Cassidulus caribaearum and Rhyncholampas pacifica. Most of the taxonomic studies on cassiduloids have used external morphology, pedicellariae and morphometric characters; however, the intraspecific variation of quantitative and qualitative characters has been poorly evaluated. Objective: To compare the basic morphology of R. pacifica and C. caribaearum. Methods: We examined a total of 2 158 specimens of R. pacifica and C. caribaearum, selecting 50 to evaluate shape and size with linear regression and Principal Component analysis. We selected an additional 62 specimens per species to identify significant character correlations and morphological groups within species. Results: There is a direct relationship between Test length and Test width. Test height/Test width, and Total length (oral view)/Distance from the ambitus to the peristome apex, are the two main ratios to distinguish both species. C. caribaearum is more dorsoventrally compressed and has a round peristome base; versus R. pacifica has a tall and triangular one. There are four morphological groups of C. caribaearum and two groups for R. pacifica. Conclusions: These two species can be distinguished with reliable morphological characters, in which peristome shape suggests that R. pacifica is more adapted to burrowing deeper into certain types of substratum.

scholarly journals Morphological Variability and Taxonomic Relationship of Sorghum bicolor (L.) Moench Accessions Based on Qualitative Characters

2020 ◽  
pp. 40-52
Author(s):  
Ika Nugraheni Ari Martiwi ◽  
Laurentius Hartanto Nugroho ◽  
Budi Setiadi Daryono ◽  
Ratna Susandarini
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Sorghum Bicolor ◽  
Morphological Variability ◽  
Principal Component ◽  
Staple Food ◽  
Grain Color ◽  
Qualitative Characters ◽  
Relationship Of ◽  
Sorghum Bicolor L

Sorghum bicolor (L.) Moench is a member of Poaceae family with three agronomic types corresponds to their specific uses namely grain sorghum, sweet sorghum, and forage sorghum. Although sorghum in Indonesia is considered as under-utilized crop, but it has the potential as an alternative resource for staple food in diversification program to support food security. The potential of sorghum as alternative staple food is due to its high nutritional value, and the ability to grow well in marginal lands with maintaining good productivity. The objectives of this study were to assess the extent of morphological variability and to resolve taxonomic relationship of sorghum accessions from Java Island based on morphological characters. Twenty nine sorghum samples were collected from three provinces in Java, namely Central Java, Special Province of Yogyakarta, and East Java. Morphological data observed refers to Descriptors for Sorghum, generating 19 qualitative characters used in cluster analysis and principal component analysis. Cluster analysis resulted in the grouping of 29 accessions into three groups corresponding to the racial classification of sorghum. Results of principal component analysis showed that the main distinguishing characters between groups were inflorescence compactness and shape, glume coverage, presence or absence of awn, presence or absence of grain sub-coat, grain shape, and grain color. Analysis of correlation showed that there were very strong relationship between glume coverage and the presence of awn, and between the presence of grain sub-coat and grain color. Results of this study revealed that sorghum accessions cultivated on Java Island consisted of four races namely Bicolor, Guinea, Caudatum, and Kafir.

scholarly journals Morphological Characteristics of Scutellonema bradys Populations Responsible for Yam Dry Rot in Côte d’Ivoire

2021 ◽  
pp. 43-59
Author(s):  
Yadom Y. F. R. Kouakou ◽  
Kouamé Daniel Kra ◽  
Toualy Marie Noël Yeyeh ◽  
Hortense Atta Diallo
Keyword(s):  
Cote D'ivoire ◽  
Côte D’Ivoire ◽  
Morphological Variability ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Morphological Characterization ◽  
Food Markets ◽  
Dry Rot ◽  
Cote D’Ivoire ◽  
Côte D'ivoire

The great diversity of agroecological factors that cover the yam production area in Côte d’Ivoire can be a source of morphological variability within Scutellonema bradys species, responsible for yam dry rot. This study aims at identifying the morphological group(s) of S. bradys which infect(s) yam Dioscorea cayenensis-rotundata. Two hundred ten yam tubers for sale in food markets in the Autonomous District of Abidjan were sampled from traders. After extraction and identification, a morphological characterization was carried out on S. bradys populations using morphological descriptors. Yam tubers sampled from food markets came from three agroecological zones namely dry tropical savannah, semi-deciduous dense forest and transitional forest areas. Morphometric variables and ratios used individually did not help identify morphological groups. Principal component analysis, however, performed with the most discriminating variables and ratios revealed three morphological groups named "large", "medium" and "small" in males and females and confirmed by the agglomerative hierarchical clustering. Each group consisted of a rate greater than 48% of individuals from a given agroecological zone. Three morphological groups of S. bradys are associated with yam dry rot in Côte d’Ivoire. Pathogenic and molecular characterization of the morphological groups would be necessary with a view to researching control methods.

Spatial clustering analysis of green economy based on knowledge graph

2021 ◽  
pp. 1-10
Author(s):  
Shiyuan Zhou ◽  
Xiaoqin Yang ◽  
Qianli Chang
Keyword(s):  
Spatial Data ◽  
Clustering Analysis ◽  
Spatial Clustering ◽  
Evaluation Model ◽  
Principal Component ◽  
Green Economy ◽  
Membership Degree ◽  
Two Dimensional ◽  
Dimensional Graph ◽  
Improved Algorithm

By organically combining principal component analysis, spatial autocorrelation algorithm and two-dimensional graph theory clustering algorithm, the comprehensive evaluation model of regional green economy is explored and established. Based on the evaluation index system of regional green economy, this paper evaluates the development of regional green economy comprehensively by using principal component analysis, and evaluates the competitive advantage of green economy and analyzes the spatial autocorrelation based on the evaluation results. Finally, the green economy and local index score as observed values, by using the method of two-dimensional graph clustering analysis of spatial clustering. In view of the fuzzy k –modes cluster membership degree measure method without considering the defects of the spatial distribution of object, double the distance and density measurement of measure method is introduced into the fuzzy algorithm of k –modes, thus in a more reasonable way to update the membership degree of the object. Vote, MUSH-ROOM and ZOO data sets in UCI machine learning library were used for testing, and the F value of the improved algorithm was better than that of the previous one, indicating that the improved algorithm had good clustering effect. Finally, the improved algorithm is applied to the spatial data collected from Baidu Map to cluster, and a good clustering result is obtained, which shows the feasibility and effectiveness of the algorithm applied to spatial data. Results show that the development of green economy using the analysis method of combining quantitative analysis and qualitative analysis, explores the connotation of green economy with space evaluation model is feasible, small make up for the qualitative analysis of the green economy in the past, can objective system to reflect the regional green economic development level, will help policy makers scientific formulating regional economic development strategy, green integrated development of regional green economy from the macroscopic Angle, the development of network system.

Influence of psychoanalytical training on professional performance in a sample of French speaking psychotherapists

1994 ◽  
Vol 9 (4) ◽  
pp. 211-220 ◽  
Author(s):  
A Dazord ◽  
P Gerin ◽  
JD Davis ◽  
ML Davis ◽  
N Aapro ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Common Core ◽  
Multivariate Analyses ◽  
Multiple Correspondence Analysis ◽  
International Study ◽  
Principal Component ◽  
Questionnaire Data ◽  
Professional Performance ◽  
French Speaking ◽  
Perceived Effects

SummaryThis study is part of a more extensive research conducted by a group of scientists from different countries, who have joined forces to conduct an international study on the development of the therapist, and to develop a novel instrument for therapists, the “Development of Psychotherapists’ Common Core Questionnaire” (CCQ). We report here the results based on the answers of a French-speaking sample to this questionnaire. Data were analyzed using univariate (non parametric tests) and multivariate analyses (Principal Component Analysis and Multiple Correspondence Analysis). The perceived effects of psychoanalytical training were examined. The therapists’ own perception on their current skills and the type of difficulties they experienced were very similar, whether or not they had received psychoanalytical training. However, striking and significant differences in coping strategies were observed between the two groups.

Between- and within-breed morphological variability in Moroccan sheep breeds

2016 ◽  
Vol 58 ◽  
pp. 91-100 ◽  
Author(s):  
I. Boujenane ◽  
D. Petit
Keyword(s):  
Multivariate Analyses ◽  
Morphological Variability ◽  
Tail Length ◽  
Morphological Characterization ◽  
Total Variance ◽  
High Association ◽  
Sheep Breeds ◽  
Selection Strategies ◽  
Morphological Differences

SummaryThe objective of this study was a morphological characterization of five Moroccan sheep breeds (Béni Guil, Boujaâd, D'man, Sardi and Timahdite) to assess between- and within-breed variability using multivariate analyses. Fourteen morphological measurements were collected on 876 adult animals of both sexes in 98 different flocks located in 22 geographic localities of five breeds. The multiple analysis of variance revealed that significant morphological differences existed between breeds. The overall proportion of total variance due to between-breed component was 28.3 percent. The factor analysis revealed three factors accounting for 50.1, 11.8 and 7.54 percent of total variance. The first factor had high loadings for variables relating to body size, whilst the second factor had high association with traits reflecting tail length and ear size. The third factor had high loadings for wool trait. The squared Mahalanobis distance between the five sheep breeds were highly significant (P< 0.001). The largest morphological divergence was shown between Béni Guil and Sardi breeds (23.5) and the smallest one was between Boujaâd and Sardi breeds (3.54). The discriminant functions clearly discriminated and assigned 94.4 percent of Béni Guil, 79.7 of Boujaâd, 88.5 percent of D'man, 86.7 of Sardi and 80.1 percent of Timahdite sheep into their breed of origin. Overall morphological differences observed within-breeds were due for 18.1 percent to geographic locality and for 20.7 percent to flock management. It was concluded that the information reported in this study will be the basis for the establishment of characterization and selection strategies for Moroccan sheep.

Assessing the Job Satisfaction of Registered Nurses Using Sentiment Analysis and Clustering Analysis

2021 ◽  
pp. 107755872110352
Author(s):  
Matthew Jura ◽  
Joanne Spetz ◽  
Der-Ming Liou
Keyword(s):  
Job Satisfaction ◽  
Registered Nurses ◽  
Sentiment Analysis ◽  
Support Services ◽  
Clustering Analysis ◽  
Multivariate Analyses ◽  
Free Text ◽  
Registered Nursing ◽  
High Satisfaction ◽  
Using Data

Job satisfaction is a critical component of the professional work environment and is often ascertained through surveys that include structured or open-ended questions. Using data from 24,543 respondents to California Board of Registered Nursing biennial surveys, this study examines the job satisfaction of registered nurses (RNs) by applying clustering analysis to structured job satisfaction items and sentiment analysis to free-text comments. The clustering analysis identified three job satisfaction groups (low, medium, and high satisfaction). Sentiment analysis scores were significantly associated with the job satisfaction groups in both bivariate and multivariate analyses. Differences between the job satisfaction clusters were mostly driven by satisfaction with workload, adequacy of the clerical support services, adequacy of the number of RN staff, and skills of RN colleagues. In addition, there was dispersion in satisfaction related to involvement in management and policy decisions, recognition for a job well done, and opportunities for professional development.

Multivariate analyses of indigenous bread wheat (Triticum aestivum L.) landraces of Oman

2021 ◽  
pp. 483
Author(s):  
Ali Hussain Al Lawati ◽  
Saleem Kaseemsaheb Nadaf ◽  
Nadiya Abubakar Al Saady ◽  
Saleh Ali Al Hinai ◽  
Almandhar Almamari ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Multivariate Analyses ◽  
Crop Improvement ◽  
Winter Season ◽  
Principal Component ◽  
Triticum Aestivum L ◽  
Plant Parts ◽  
Improvement Programs ◽  
D Values

Oman is endowed with enormous diversity of important food crops that have global significance for food security and has ancient history of cultivation of bread wheat (Triticum aestivum L.) with its divergent landraces, which are useful in crop improvement. 55 indigenous Omani accessions conserved at the USDA were evaluated in the winter season (November to April) of the years 2017-2018 and 2018-2019 on loamy soil under sprinklers in augmented design with 5 check varieties in 5 replications following crop husbandry practices as per national recommendations using 9 quantitative (descriptors) and 6 qualitative traits (anthocyanin pigmentation on plant parts). The data on traits were subjected not only for PC values and D values after varimax rotation through Kaiser normalization in Principal Component Analysis (PCA) but also for Agglomerative Hierarchical Clustering (AHC). The results indicated that indigenous bread wheat accessions were significantly different (p>0.05) for all the quantitative traits except number of tillers. The multivariate analyses led to formation of four diverse clusters from PCA analyses corresponding to four quadrants of bi-plot graphs and three clusters from AHC analysis corresponding to main clades of dendrogram. The parents were selected from common accessions of distinct clusters in all the multivariate analyses for hybridization for improving characters of growth for higher yield or productivity with pigmentation on one or two plant parts useful for DUS test of varieties. The indigenous bread wheat landraces / accessions were genetically diverse and have potential for use in national crop improvement programs for earliness and higher grain productivity with distinct identification markers.

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