1 Department of Plant Breeding and Seed Technology, University of Agriculture, Abeokuta, Nigeria.
2 Crop Improvement Division, Cocoa Research Institute of Nigeria Ibadan, PMB 5244 Dugbe Ibadan, Oyo State, Nigeria.
World Journal of Advanced Research and Reviews, 2022, 16(01), 078–083
Article DOI: 10.30574/wjarr.2022.16.1.0979
DOI url: https://doi.org/10.30574/wjarr.2022.16.1.0979
Received on 20 August 2022; revised on 30 September 2022; accepted on 03 October 2022
Nineteen quantitative characters were observed on 14 accessions of West African Okra. Principal Component Analysis (PCA) and Complete Linkage Cluster Analysis (CLCA) were employed to analyses the variation pattern in these accessions. The first three principal components accounted for 68.47% of the total variation. Using character variation, complete linkage cluster analysis summarized the position of accessions into a dendrogram at interval of 5% level of similarity, while the accessions were sorted into five distinct groups.
Okra; Variation; Cluster analysis; Accessions
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Olusola Babatunde Kehinde, Temitope Afolayan, Olayinka Olufemi Olaniyi and Feyisetan Omolola Sulaimon. Numerical analysis of variation among accessions of West African okra Abelmoschuscaillei (a. chev) stevel). World Journal of Advanced Research and Reviews, 2022, 16(01), 078–083. Article DOI: https://doi.org/10.30574/wjarr.2022.16.1.0979
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