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Bioscience Research


  • Print ISSN: 1811-9506

  • Online ISSN: 2218-3973

  • Starting year: 2004

  • Current volume: 22

  • Impact Factor (Scopus) : 0.737


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Bioscience Research, volume 23, issue 1 2026

     

 

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RESEARCH ARTICLE                      BIOSCIENCE RESEARCH, 2026 23(1): 01-11.                     OPEN ACCESS

                                                                                                  

 

Characterization of phenotypic diversity of edible tiger nut (Cyperus esculentus L.) accessions collected from Côte d’Ivoire

 

DAGO Lydia Karmelle Ornella1*, N’Dri Konan Ella2, GORE Bi Boh Nestor1, ADJI Beda Innocent3, EHUI Kiroua Jean Baptiste1, GBAYORO Sialou Florence1, DIEGANE Diouf4and AKAFFOU Doffou Sélastique1

 

 

1Departement of Agronomy and Forestry, Jean Lorougnon Guede University, BP 150 Daloa, Côte d’Ivoire

2Department of Agriculture and New Technologies, Training and Research Unit in Agriculture, Fisheries resources and Agro-Industry, University of San Pedro, BPV1800 San Pedro, Côte d’Ivoire

3Agroforestry Training and Research Unit, Jean Lorougnon Guede University, BP 150 Daloa, Côte d’Ivoire

4Department of Plant Biology, Cheikh Anta Diop University, P.O. Box 5005, Dakar, Senegal and Joint Microbiology Laboratory IRD/ISRA/UCAD, Bel-Air Research Center, P.O. Box 1386 – Postal Code 18524, Dakar, Senegal

 

DOI: https://doi.org/10.65970/br.2026.137

 

Abstract

Cyperus esculentus is a highly valued food plant in Côte d’Ivoire, yet its production remains insufficient. To address this issue, the development of a genetic improvement program is essential. Achieving this goal requires a comprehensive understanding of the phenotypic diversity among accessions. In this context, 43 accessions were collected from 8 locations across the country. A randomized experimental design with three replications was implemented at Jean Lorougnon Guedé University. On the experimental plots, two qualitative and eighteen quantitative traits were recorded and subjected to statistical analyses: one-way ANOVA and multivariate analyses (PCA, HCA, and DFA). Of the 18 quantitative parameters assessed, 10 contributed significantly as principal components. Principal Component Analysis (PCA) revealed three main axes explaining the total variation (1 : 60.69 %, 2 : 19.41 %, 3 : 15.06 %). Hierarchical Cluster Analysis (HCA) identified two distinct groups : 1 (12 accessions) and 2 (32 accessions). Discriminant Factor Analysis (DFA) showed NTP, ToM and ES were the most discriminant variable between these groups. Regarding qualitative traits, color analysis revealed a single phenotype (yellow), while shape analysis identified three phenotypes: elongated, oval, and round, across the accessions.

 

Keywords: accessions, Cyperus esculentus, Ivory Coast, phenotypic diversity, food security

 

 

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