Use of cluster analysis in the systematics of the algal genus Cryptomonas

Sixteen species and one variety of the algal genus Cryptomonas Ehrenberg were identified from a large number of samples collected from lakes, ponds, and marshes in eastern Canada and the Northwest Territories. A description, including photographs and drawings, is given for each taxon. Cluster analys...

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Main Authors: Anton, Ann, Duthie, Hamish C.
Format: Article
Language:English
Published: National Research Council Canada 1981
Online Access:http://psasir.upm.edu.my/id/eprint/33893/
http://psasir.upm.edu.my/id/eprint/33893/1/a28%20-%20use%20of%20cluster%20analysis%20in%20the%20systematics.pdf
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author Anton, Ann
Duthie, Hamish C.
author_facet Anton, Ann
Duthie, Hamish C.
author_sort Anton, Ann
building UPM Institutional Repository
collection Online Access
description Sixteen species and one variety of the algal genus Cryptomonas Ehrenberg were identified from a large number of samples collected from lakes, ponds, and marshes in eastern Canada and the Northwest Territories. A description, including photographs and drawings, is given for each taxon. Cluster analysis statistics were used to determine the taxonomic value of certain characters and the affinities between the species. It was found that binary (two-state) characters gave a more realistic diagnosis than quantitative (continuous) data because of the large variation and overlap in measurements of the latter. The following characters were considered to be of taxonomic significance in separating the species: (i) cell shape and size, (ii) number of chloropasts, (iii) number and position of chloroplasts, (iv) flagella and gullet system, and (v) number and position of other included bodies. Based on these characters, a new taxonomic key was constructed for the identification of the common freshwater species of Cryptomonas.
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spelling upm-338932015-04-14T04:02:12Z http://psasir.upm.edu.my/id/eprint/33893/ Use of cluster analysis in the systematics of the algal genus Cryptomonas Anton, Ann Duthie, Hamish C. Sixteen species and one variety of the algal genus Cryptomonas Ehrenberg were identified from a large number of samples collected from lakes, ponds, and marshes in eastern Canada and the Northwest Territories. A description, including photographs and drawings, is given for each taxon. Cluster analysis statistics were used to determine the taxonomic value of certain characters and the affinities between the species. It was found that binary (two-state) characters gave a more realistic diagnosis than quantitative (continuous) data because of the large variation and overlap in measurements of the latter. The following characters were considered to be of taxonomic significance in separating the species: (i) cell shape and size, (ii) number of chloropasts, (iii) number and position of chloroplasts, (iv) flagella and gullet system, and (v) number and position of other included bodies. Based on these characters, a new taxonomic key was constructed for the identification of the common freshwater species of Cryptomonas. National Research Council Canada 1981 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/33893/1/a28%20-%20use%20of%20cluster%20analysis%20in%20the%20systematics.pdf Anton, Ann and Duthie, Hamish C. (1981) Use of cluster analysis in the systematics of the algal genus Cryptomonas. Canadian Journal of Botany, 59 (6). pp. 992-1002. ISSN 0008-4026
spellingShingle Anton, Ann
Duthie, Hamish C.
Use of cluster analysis in the systematics of the algal genus Cryptomonas
title Use of cluster analysis in the systematics of the algal genus Cryptomonas
title_full Use of cluster analysis in the systematics of the algal genus Cryptomonas
title_fullStr Use of cluster analysis in the systematics of the algal genus Cryptomonas
title_full_unstemmed Use of cluster analysis in the systematics of the algal genus Cryptomonas
title_short Use of cluster analysis in the systematics of the algal genus Cryptomonas
title_sort use of cluster analysis in the systematics of the algal genus cryptomonas
url http://psasir.upm.edu.my/id/eprint/33893/
http://psasir.upm.edu.my/id/eprint/33893/1/a28%20-%20use%20of%20cluster%20analysis%20in%20the%20systematics.pdf