NTSYS-pc: Microcomputer Programs for Numerical Taxonomy and Multivariate Analysis

The amount of DNA varies widely in 20 shrubby Oxalis species analyzed, ranging from 1.76 pg in O. alstonii to 33.00 pg in O. dispar. This wide variation in DNA content coincided with a wide variation in chromosome size and shape. Numerical taxonomy methods showed that this variation in chromosome size and shape in shrubby Oxalis is mainly due to extra DNA. It was also possible to arrange the 20 species examined in six different groups on the basis of karyotypic similarities.Key words: Oxalis, DNA content, chromosome evolution, multivariate analysis.

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PHENETIC ANALYSIS AND DISTRIBUTION OF CLAOXYLON IN THE LESSER SUNDA ISLANDS

Floribunda ◽

10.32556/floribunda.v6i5.2020.313 ◽

2020 ◽

Vol 6 (5) ◽

Author(s):

Adhy Widya Setiawan ◽

Tatik Chikmawati

Keyword(s):

Multivariate Analysis ◽

Numerical Taxonomy ◽

Morphological Characters ◽

Phenetic Analysis ◽

Number Of Species ◽

Distribution Mapping ◽

Analysis System ◽

Eleven Species

Phenetic Analysis and Distribution of Claoxylon in the Lesser Sunda Islands. Floribunda 6(5): 167–174. — The genus Claoxylon A.Juss. in the Lesser Sunda Islands (LSI) was reviewed. Eleven species were recognized in Lesser Sunda Islands. Records of C. capillipes and C. fulvescens were extended to the Bali Island. Based on distribution of Claoxylon in LSI, Bali has the highest number of species (7 species), while Wetar shows the least number of species (only 1 species). A phenetic analysis was using Numerical Taxonomy and Multivariate Analysis System (NTSYS-pc) version 2.11a and distribution mapping using Quantum GIS version 2.4. Based on 14 morphological characters grouped Claoxylon species in LSI into three groups. All Claoxylon in LSI belong to section Indica and Affinia.

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Numerical taxonomic study of the genus Crotalaria L. (Crotalarieae, Fabaceae) in Nigeria

Biodiversity Research and Conservation ◽

10.2478/biorc-2018-0005 ◽

2018 ◽

Vol 50 (1) ◽

pp. 25-32

Author(s):

Samaila Samaila Yaradua ◽

Dhafer Ahmed Alzahrani ◽

Abubakar Bello

Keyword(s):

Cluster Analysis ◽

Multivariate Analysis ◽

Numerical Taxonomy ◽

Field Work ◽

Taxonomic Study ◽

Cophenetic Correlation ◽

Euclidian Distance ◽

Ordination Analysis ◽

Qualitative Characters ◽

Numerical Taxonomic Study

Abstract Numerical taxonomic study of the genus Crotalaria L. in Nigeria was conducted to identify and differentiate some of the species of the genus Crotalaria using numerical taxonomy based on quantitative and qualitative characters. Field work was conducted, where different species were collected and analyzed using multivariate analysis. The results showed that all the collected species are distinct at Euclidian distance of 0.41 in the cluster analysis with Cophenetic correlation (r)=0.964. The ordination analysis based on the results of the PCA, separated the specimens into 7 groups corresponding to the result of cluster analysis. The first two components of the PCA account for 81.5%. The length of petiole, width of leaflet and length of fruit contributed more to showing delimitation among the species.

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Caractérisation des taxons du genre Ornithogalum, sous-genre Heliocharmos (Hyacinthaceae), en Afrique du Nord et en France : analyse morphologique et biogéographique

Canadian Journal of Botany ◽

10.1139/b91-227 ◽

1991 ◽

Vol 69 (8) ◽

pp. 1787-1794 ◽

Cited By ~ 4

Author(s):

J. Moret ◽

N. Galland

Keyword(s):

Multivariate Analysis ◽

Key Words ◽

North Africa ◽

Numerical Taxonomy ◽

Afrique Du Nord ◽

Analyse Morphologique ◽

Flora Of France

Two species of Ornithogalum subg. Heliocharmos are present in North Africa: O. algeriense and O. kochii. These are often confused with O. umbellatum from Europe. Several populations covering the spread of variation of these species were studied biometrically using macromorphological characters. Multivariate analysis results suggest that O. kochii is close to the diploid cytotype of O. umbellatum. The diploid cytotypes are closer to the popyploid series of O. umbellatum than to O. algeriense. These results are discussed in relation to biogeography and evolution. Key words: Angiosperms, Hyacinthaceae, Ornithogalum, subg. Heliocharmos, numerical taxonomy, systematic, biogeography, flora of Marocco, flora of France. [Journal translation]

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Keragaman Morfologi dan Analisis Kekerabatan Anggrek Phaleonopsis Spesies dan Hybrid

Vegetalika ◽

10.22146/veg.44997 ◽

2020 ◽

Vol 9 (4) ◽

pp. 535

Author(s):

Lita Rahmadani ◽

Aziz Purwantoro

Keyword(s):

Multivariate Analysis ◽

Numerical Taxonomy ◽

Analysis System

Perakitan varietas baru anggrek dari Phaleonopsis memerlukan tetua dengan sifat tertentu yang disesuaikan dengan permintaan pasar. Keberhasilan perakitan varietas baru ditentukan oleh hubungan kekerabatan antar anggrek yang digunakan sebagai tetua sehingga diperlukan karakterisasi. Karakterisasi morfologi anggrek hybrid juga diperlukan untuk menentukan dan membedakan penampakan morfologi antar anggrek. Tujuan penelitian yaitu untuk menentukan keragaman morfologi anggrek Phaleonopsis spesies dan hybrid berdasarkan nilai Indeks Shanon dan menentukan hubungan kekerabatan berdasarkan nilai similaritasnya. Penelitian dilakukan di tiga kebun anggrek yang ada di Yogyakarta yaitu Kebun Anggrek Balelawang, Titi Orchids, dan Kebun Anggrek Mas Jogja. Penelitian ini menggunakan metode observasional deskriptif yaitu pengamatan langsung di lapangan terhadap lima belas anggrek Phaleonopsis berdasarkan Panduan Karakterisasi Anggrek dari Balai Tanaman Hias. Hasil pengamatan morfologi tanaman dan bentuk bunga anggrek diubah menjadi data biner. Penentuan keragaman diketahui melalui perhitungan Indeks Shanon dan hubungan kekerabatanya diketahui menggunakan software Numerical Taxonomy and Multivariate Analysis System (NTYSYS) Spc 21. Berdasarkan karakter morfologinya menunjukkan nilai Indeks Shanon sebesar 2,70 yang diklasifikasikan dalam keragaman sedang. Hubungan kekerabatan Phaleonopsis spesies dan hybrid membentuk dua kelompok dengan nilai similiaritasnya 0,48.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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