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Abbrevia: J. Agric. Res Nat Resources.

Language: English

ISSN: ISSN 2315-6279

DOI: 10.14412/JARNR

 

 

  J. Agric. Res. Nat. Resour.      

  4(1): 286-300, July 2020


 
View: PDF (216KB)  

 

 

 

 

Journal of Agricultural Research and Natural  Resources,

Vol. 4 (1), pp 286-300, July 2020

doi: 10.14412/JARNR2019.0146

(ISSN 2315-6279) 2020 Science Park Journals

 

Full Length Research Paper

NUMERICAL TAXONOMIC STUDY OF SOME IPOMOEA SPECIES (CONVOLVULACEAE) IN ANAMBRA, SOUTHEASTERN NIGERIA.

 

UKA CHIEDOZIE JOEL1, OKEKE CLEMENT UWABUNKEONYE OKEKE2 AND AZIAGBA BIBIAN OKWUCHUKWU3

 

Department of Botany, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.

 

ABSTRACT:

 

Numerical study was conducted on eight species of genus Ipomoea in Anambra State, Southeastern Nigeria based on morphological characters. This was done in order to better understand their interrelationship and aid its identification. The species are Ipomoea aquatica, I. asarifolia, I. quamoclit, I. involucrata, I. triloba, I. acanthocarpa, I. hederifolia and I. nil. The samples were all gotten from the wild and authenticated in the herbarium where voucher specimens were deposited. Discrete characters were noted in the field while qualitative and quantitative characters were observed and measured in the laboratory. A total of48 attributes comprising 31 qualitative and 17 quantitative characters were studied and coded for analysis. UPGMA (Unweighted Pair Group Method with Arithmetic Mean) and Jaccard similarity coefficient were carried out on the detains order to elucidate the relationship among the tax of the genus, while dendrogram and their taxonomic keys were constructed. UPGMA tree derived from cluster analysis reveals three major clusters, cluster 1to cluster 3 containing 3, 3 and 2 species respectively. Species within the same cluster had greater similarity than those in the other clusters. The results of this study therefore, confirmed and established previous works on this genus and provided an excellent statement on the relationship among these species. Thus showing the significance of numerical analysis for taxonomic relationship in the genus Ipomoea.

 

KEYWORDS: Numerical taxonomy, Ipomoea, cluster analysis, Morphology, Similarity.

 

                    



 

 

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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