International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 4
July-August 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Evaluation of Taxonomic Relationships among Selected Acacia Species Using Euclidean Distance Analysis.

Author(s) Dr. Shivali Kharoliwal
Country India
Abstract The present investigation evaluates the taxonomic relationships among four economically and ecologically important members of the tribe Acacieae using numerical taxonomy based on Euclidean distance. Four species, namely Vachellia nilotica, Senegalia senegal, Acacia leucophloea, and Senegalia catechu, were compared using binary-coded morphological characters. Thirty seven qualitative morphological characters related to vegetative, reproductive, and defensive structures were selected from authenticated taxonomic literature. Binary data were analyzed using Euclidean distance to estimate phenetic dissimilarity among taxa. The resulting distance matrix indicated that Vachellia nilotica and Senegalia catechu exhibited the closest relationship, whereas Acacia leucophloea showed the greatest divergence from Senegalia senegal. Cluster analysis grouped species according to overall morphological similarity rather than traditional generic placement, supporting the usefulness of numerical taxonomy in evaluating phenetic relationships within Acacieae(Ahmed, S., & Johnson, D. V.,2019).The study demonstrates that Euclidean distance analysis provides an objective and reproducible approach for species delimitation and taxonomic interpretation. The study is intended to provide a reproducible framework for assessing morphological similarity among closely related taxa and to contribute to the understanding of taxonomic relationships within the former Acacia complex.
Keywords : Numerical taxonomy, Euclidean distance, Morphology, Binary matrix, Acacieae, Vachellia nilotica, Senegalia senegal
Field Biology > Agriculture / Botany
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-26
DOI https://doi.org/10.36948/ijfmr.2026.v08i04.84473
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals