A classification of marine microorganisms by numerical taxonomy

1968 ◽  
Vol 2 (1-2) ◽  
Author(s):  
Frank M�ller ◽  
Corrado Peroni
Keyword(s):  
Numerical Taxonomy ◽  
Marine Microorganisms

An evaluation of the taxonomy of Propionibacterium

1968 ◽  
Vol 14 (11) ◽  
pp. 1185-1191 ◽  
Author(s):  
A. C. Malik ◽  
G. W. Reinbold ◽  
E. R. Vedamuthu
Keyword(s):  
Host Range ◽  
Numerical Taxonomy ◽  
Similar Group ◽  
Propionibacterium Shermanii

The object of this study was to reevaluate speciation of Propionibacterium by using numerical taxonomy. Fifty-six cultures representing eight species were studied. Thirty-eight morphological and physiological features were employed in the calculation of matching coefficients which were used to sort the cultures into groups. The results suggest a need for species consolidation; for example, Propionibacterium shermanii could appropriately become P. freudenreichii var. shermanii. Close resemblances were found between P. rubrum, P. peterssonii, and P. jensenii. Propionibacterium arabinosum and P. pentosaceum formed another mutually similar group. Further studies using additional cultural, physiological, serological, genetic, and phage host-range characteristics should be instituted to establish an improved classification of propionibacteria.

scholarly journals Classification of Aphasic Phenomena

1976 ◽  
Vol 3 (2) ◽  
pp. 135-139 ◽  
Author(s):  
Andrew Kertesz
Keyword(s):  
Numerical Taxonomy ◽  
Comprehensive Survey

SUMMARY:A brief but comprehensive survey of classifying aphasia reveals that most investigators describe at least four major groups, conveniently labelled Broca's, Wernicke's, anomic and global. Conduction and transcortical aphasias are less generally described and modality specific syndromes rarely, if ever, exist purely. The controversy between unifiers and splitters continues but objective numerical taxonomy may solve some of the problems of classification.

scholarly journals Floral morphology resolves the taxonomy of Camellia L. (Theaceae) Sect. Oleifera and Sect. Paracamellia

2012 ◽  
Vol 19 (2) ◽  
pp. 155-165 ◽  
Author(s):  
W. Jiang ◽  
M. Nitin ◽  
B. Jiang ◽  
Y. P. Zheng ◽  
S. S. Hong ◽  
...  
Keyword(s):  
Numerical Taxonomy ◽  
Floral Morphology ◽  
Cladistic Analysis ◽  
Floral Organ ◽  
Morphological Characters ◽  
Species Classification ◽  
Plant Taxon

Numerical taxonomy and cladistic analysis of 19 species of Camellia L. were performed using floral morphology containing continuous and discrete units. The current study mostly supports the classifications of 19 species as proposed in previous works. In addition, it also agrees with combining the following species together: C. oleifera and C. vietnamensis; C. sasanqua and C. hiemalis; C. brevistyla and C. puniceiflora; and C. grijsii and C. shensiensis. Further, we propose that C. maliflora be recognized as a variety of C. sasanqua, and C. phaeoclada is best placed in sect. Paracamellia. Moreover, we conclude that these species can be combined: C. tenii and C. miyagii; and C. confusa and C. fluviatilis. Our study indicates that the numerical taxonomy and cladistic analysis based on morphological characters of floral organ is useful in species classification, and this technique appreciated in sect. Oleifera and sect. Paracamellia can be used for identification and classification of other taxa. DOI: http://dx.doi.org/10.3329/bjpt.v19i2.13130 Bangladesh J. Plant Taxon. 19(2): 155-165, 2012 (December)

scholarly journals PELATIHAN TAKSONOMI NUMERIK SEBAGAI STRATEGI UNTUK MENINGKATKAN TECHNOLOGICAL PEDAGOGICAL CONTENT KNOWLEDGE GURU BIOLOGI

2020 ◽  
Vol 7 (2) ◽  
pp. 64-78
Author(s):  
Amalianneisha Rafadewi Andhanatami Putri ◽  
Topik Hidayat ◽  
Widi Purwianingsih
Keyword(s):  
Learning Strategies ◽  
Numerical Taxonomy ◽  
Biology Teachers ◽  
Average Percentage ◽  
Technology And Learning ◽  
Living Things ◽  
Significant Difference ◽  
Before And After ◽  
Post Test

TPACK is the ability to integrate knowledges of content, pedagogical, and technology that must be possessed by teachers in facing the era of education in the 21st century. To improve TPACK can be done with training strategies, in this study numerical taxonomy training is a training program for biology teachers about TPACK and CoRes, and content which is related to concepts, technology, and learning strategies for classification of living things that discuss about numerical taxonomy, as a strategy to improve TPACK biology teachers in classifying living things learning. The method used was pre-experimental one group pre-post test design. The data about teachers’ TPACK was gained from CoReS and lesson plans prepared by teachers, and teachers’ prespective on TPACK was gained from responses toward questionnaires. The result showed after training,  analysis of CoRes reveals that 80% of Biology teachers’ is on the Growing TPACK, and 20% is on the Pre TPACK category. The average percentage of N-gain TPACK ability of teachers is 60% in the medium category, the result of significant test (t test) indicates t score t table (16.88 2.13), it showed a significant difference in the TPACK ability of biology teachers before and after numerical taxonomy training. Teachers’ prespective on TPACK in classification of living things learning have a positive changes, teachers starts to be able to determine the technology, strategy, and understanding the content of living things learning especially the numerical taxonomy. It can be concluded that numerical taxonomy training can improve TPACK’s ability.

Numerical Taxonomy Applied to Leonhard’s Classification of Endogenous Psychoses

1997 ◽  
Vol 30 (5) ◽  
pp. 291-297 ◽  
Author(s):  
Gabriela Meda ◽  
Gabriela Martinez ◽  
Eduardo Morgante
Keyword(s):  
Numerical Taxonomy ◽  
Endogenous Psychoses

TAXONOMY OF ENTEROCOCCI BY COMPUTER ANALYSIS

1966 ◽  
Vol 12 (2) ◽  
pp. 353-362 ◽  
Author(s):  
H. Raj ◽  
R. R. Colwell
Keyword(s):  
Computer Analysis ◽  
Numerical Taxonomy ◽  
Species Group ◽  
Separate Species ◽  
Homogeneous Cluster ◽  
Pure Cultures ◽  
Electronic Computers ◽  
Taxonomic Groups ◽  
Formal Recognition

A total of 48 pure cultures of Streptococcus (including 12 ATCC strains) belonging to the fecal, pyogenic, and viridans groups was studied in an effort to derive a numerical taxonomy of the enterococci based on Adansonian principles. Each of these cultures was subjected to a variety of tests. The data so obtained was encoded and analyzed by electronic computers, ft showed two major taxonomic groups: a large homogeneous cluster of all enterococcal strains tested and a discrete cluster of streptococci belonging to the pyogenic and viridans groups, showing the least cross relationships with all of the enterococcal strains including S. bovis. The large enterococcus group comprised S. faecalis, unclassified enterococci, S. bovis, S. durans, and S. faecium within the major group. The S. faecalis cluster of strains showed three discernible subgroupings of S. faecalis (typical), var. liquefaciens, and var. zymogenes. The "unclassified" types formed a rather homogeneous cluster which may warrant formal recognition as a separate species. S. bovis was most closely related to the unclassified species group. The results of analysis support the proposed determinative classification of enterococci (16).

A study of the family Phytoseiidae (Acarina: Mesostigmata) using the methods of numerical taxonomy

1978 ◽  
Vol 56 (6) ◽  
pp. 1330-1347 ◽  
Author(s):  
D. A. Chant ◽  
R. I. C. Hansell ◽  
H. J. Rowell ◽  
E. Yoshida Shaul
Keyword(s):  
Numerical Taxonomy ◽  
Classical System ◽  
Morphological Characters ◽  
Hierarchical Organization ◽  
Taxonomic Structure ◽  
The Family ◽  
Taxonomic History ◽  
History Of ◽  
Taxonomic Groups

The taxonomic history of the family Phytoseiidae is briefly reviewed. The taxonomic structure of the family is analysed using the methods of numerical taxonomy, with 221 morphological characters in 93 species covering the major taxonomic groups that have been proposed within the family. Both weighted and unweighted character analyses are used. It is shown that definite gaps separate groups of species within this family. At the level of major hierarchical separations both the unweighted and weighted character analyses are similar. A classification based on these major hierarchical separations is proposed. It is demonstrated that neither the classical system, based mainly on dorsal chaetotaxy, nor the numerical system alone provides a completely acceptable classification of the family, but that numerical taxonomic analyses are useful as a tool in helping to determine the hierarchical organization of the group.

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