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Identification of Some Hibiscus Germplasm Through Numerical Analysis

NAZMUL ALAM
Department of Botany, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh.

SHAMSUDDIN AHMAD
Bangladesh Jute Research Institute, Shere-e-Bangla Nagar, Dhaka, Bangladesh.

MOSTAFA KAMAL PASHA
Department of Botany, Chittagong University, Chittagong-4331, Bangladesh

Abstract/ Executive Summary:

Numerical analyses of 68 morphological characters of 12 varieties/forms belonging to four species of Hibiscus were carried out by calculating Sørensens and Sneath and Sokal similarity coefficients followed by cluster analysis and construction of dendrograms for visual appreciation of taxonomic relationship within this family. The Sørensens similarity coefficient varied between 0.211 and 0.919 and Sneath and Sokal similarity coefficient ranged between 0.142 and 0.890, indicating much variation between the species.

Keywords: Hibiscus, Numerical analysis, Identification, Cluster analysis, Dendrogram

Location: Central station of BJRI, Dhaka

Start Date:

End Date:

Program Area: Variety and Species

Commodity: Flower

Objectives:

1. The present investigation was undertaken to determine the taxonomic relationship by using numerical analyses of 12 taxa at intraspecific and infraspecific levels.

Methodology:

Three cultivars of Hibiscus cannabinus viz., HC-95, HC-2 and CP1 72126/1; four of H. sabdariffa viz., var. HS 24, breeding line 300M, cultivar 2065 and cultivar Samu 93; three forms of H. acetosella viz., Green Foliage Yellow Flower (GFYF), Green Foliage Magenta Flower (GFMF) and acc. Red Foliage Crimson red flower (RFCRF) and two forms of H. radiatus viz., Tall with magenta flower and Dwarf with yellow flower were taken. The experiment was conducted at central station of BJRI, Dhaka. The experiment was laid out in a randomized complete block design (RBD) with three replications in each case. Recommended doses of fertilizers, irrigation, weeding, mulching and other cultural practices were performed as and when required. Hierarchical cluster analysis for qualitative characters was performed following Binary Euclidian distance and Dendrogram was drawn using average linkage (between groups). Among the various morphological features qualitative characters of plant were used in cluster analysis and constructing dendrograms. Sixty-eight morphological characters were selected without any prejudices for each variety. The similarity coefficients of different OTU’s were measured. The coefficients were clustered by UPGMA method. All the analyses were computed using the software SPSS 10.0.1 standard version (Statistical Package for Social Sciences) released in 1999. The program was run through Windows 98 operating system, in a Pentium III model computer.

Source of Information: Bangladesh J. Plant Taxon. 13(1): 49-54, 2006 (June)

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

In both similarity matrices prepared from the values of the taxa examined showed that a few of the taxa have similarity coefficient greater than 0.50 with respect to the other taxa.

Knowledge Management: Journal