Phenotypic variability of Elaeis oleifera germplasm revealed by principal component and cluster analyses

Zulkifli Yaakub and Marhalil Marjuni and Suzana Mustaffa and Wan Nor Salmiah Tun Mohd Salim and Fatin Mohd Nasir and Norziha Abdullah and Mohd Din Amiruddin and Rajanaidu Nookiah and Ahmad Kushairi Din and Meilina Ong-Abdullah (2023) Phenotypic variability of Elaeis oleifera germplasm revealed by principal component and cluster analyses. Journal of Oil Palm Research (Malaysia), 35 (4). pp. 582-595. ISSN 2811-4701

Despite the fact that large Elaeis oleifera germplasm collections have been established and evaluated, little is known about the genetic diversity of its population. For this purpose, 572 E. oleifera palms from eight germplasm collections together with one introgressed population (Oleifera x Oleifera) were evaluated from 17 sets of field data. The data were then subjected to principal component and cluster analyses. Correlation analysis among traits of E. oleifera showed a similar trend as Elaeis guineensis, and most of the characters displayed a wide range of variation. In the principal component analysis, the first four principal components (PC1-PC4) with eigenvalue of >1.0, accounted for 96.32% of the total variability, suggesting that E. oleifera accessions can be clearly differentiated using the traits studied. Cluster analysis showed that all accessions were clustered into two major groups (consisting of four sub-clusters), generally attributed to their geographical locations in Central and South America. The information obtained from this study aims to provide solutions for a more efficient and manageable approach towards conservation of the E. oleifera germplasm.

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Abstract

Despite the fact that large Elaeis oleifera germplasm collections have been established and evaluated, little is known about the genetic diversity of its population. For this purpose, 572 E. oleifera palms from eight germplasm collections together with one introgressed population (Oleifera x Oleifera) were evaluated from 17 sets of field data. The data were then subjected to principal component and cluster analyses. Correlation analysis among traits of E. oleifera showed a similar trend as Elaeis guineensis, and most of the characters displayed a wide range of variation. In the principal component analysis, the first four principal components (PC1-PC4) with eigenvalue of >1.0, accounted for 96.32% of the total variability, suggesting that E. oleifera accessions can be clearly differentiated using the traits studied. Cluster analysis showed that all accessions were clustered into two major groups (consisting of four sub-clusters), generally attributed to their geographical locations in Central and South America. The information obtained from this study aims to provide solutions for a more efficient and manageable approach towards conservation of the E. oleifera germplasm.

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Item Type:	Article
AGROVOC Term:	Elaeis oleifera
AGROVOC Term:	genetic variation
AGROVOC Term:	germplasm
AGROVOC Term:	research
AGROVOC Term:	statistical methods
AGROVOC Term:	plant genetic resources
AGROVOC Term:	principal component analysis
AGROVOC Term:	geographical distribution
AGROVOC Term:	germplasm conservation
Geographical Term:	Malaysia
Uncontrolled Keywords:	Central-South America, conservation, correlation analysis, genetic diversity, oil palm
Depositing User:	Nor Hasnita Abdul Samat
Date Deposited:	29 Apr 2025 01:13
Last Modified:	29 Apr 2025 01:13
URI:	http://webagris.upm.edu.my/id/eprint/1773

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