Expert Opinion on Environmental BiologyISSN: 2325-9655

Reach Us +44 190 292 8240
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Research Article, Expert Opin Environ Biol Vol: 4 Issue: 3

Multivariate Analysis of Vegetative and Physiological Traits in Oil Palm (Elaies guineensis Jacq) Germplasm

Li-Hammeda MA1, Kushairib A2, Rajanaidub N2, Mohd Sukria H1,Che Wan Zanariah CWN1* and Jalania BS1
1Faculty of Science and Technology, Universiti Sains Islam Malaysia, Nilai 71800, Malaysia
2Malaysian Palm Oil Board, PO Box 10620, Kuala Lumpur 50720, Malaysia
Corresponding author : Che Wan Zanariah C W Ngaha
Faculty of Science and Technology, Universiti Sains Islam Malaysia, Nilai 71800, Malaysia
Tel:
+60199476342
E-mail: [email protected]
Received: June 06, 2015 Accepted: July 08, 2015 Published: July 14, 2015
Citation: Li-Hammeda MA, Kushairib A, Rajanaidub N, Mohd Sukria H, Che Wan Zanariah CWN, et al. (2015) Multivariate Analysis of Vegetative and Physiological Traits in Oil Palm (Elaies guineensis Jacq) Germplasm. Expert Opin Environ Biol 4:3. doi:10.4172/2325-9655.1000120

Abstract

 Multivariate Analysis of Vegetative and Physiological Traits in Oil Palm (Elaies guineensis Jacq) Germplasm

Germplasm materials provide an opportunity for tapping advantages of natural diversity for improvement. Adequate characterization for agronomic and morphological traits is necessary to ease utilization of germplasm materials by breeders. Genetic variability among 44 oil palm germplasm populations located at the Malaysian Palm Oil Board was studied based on 18 morpho-physiological traits. Data collected on the morphp-physiological traits were subjected to two multivariate analyses viz principal component analysis and clustering analysis. The result from the analysis showed that the first three PCs with Eigenvalue greater than one (>1) accounted for 90.79% of the total variation with morphological traits being the most important characters on PC 1. Distribution pattern of the germplasm materials into three clusters using Ward’s method indicated the presence of genetic variability for most of the traits studied. The mean values of characters dominant on PC 1 was highest in cluster 1 while cluster 3 had the least mean values for these traits. The selection of these traits and palms with the desired traits could enhance oil palm improvement. Furthermore, there was lack of relationship between genetic distance and geographical origin among the oil palm germplasm..

Keywords: Oil palm; Germplasm; Genetic variability; Multivariate analysis; Principal component analysis; Cluster analysis

Track Your Manuscript

Share This Page