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Estimation of genetic diversity in some African germplasm collection of oil palm (Elaeis guineensis Jacq) as detected by AFLP markers

Kularatnel, R.S., and Shahl, F., and Rajanaidu, N., (2000) Estimation of genetic diversity in some African germplasm collection of oil palm (Elaeis guineensis Jacq) as detected by AFLP markers. Asia Pacific Journal of Molecular Biology & Biotechnology, 8 (1). pp. 27-36.

Full text not available from this repository.

Official URL: http://www.msmbb.org.my/apjmbb/html81/8127.htm

Affiliations

Universiti Kebangsaan Malaysia, Faculty of Science andTechnology. Dept. of Bioscience and Biotechnology
Universiti Kebangsaan Malaysia, Faculty of Science andTechnology. Dept. of Bioscience and Biotechnology
Malaysian Palm Oil Board

Abstract

Oil palm Elaeis guineensis Jacq is the second largest contributor of edible oil to the total fat and oil production in the world. Malaysia is at present the largest producer and exporter of palm oil. Breeding programs are being carried out in order to increase the yield, quality of oil as well as other agronomically important characters. Understanding the genetic diversity in germplasm materials is of prime importance in these breeding programmes. In this study we employed the method of AFLP to study the genetic variation present in an oil palm germplasm collection. We screened germplasm collected from Nigeria, Madagascar, Democratic Republic of Congo (Congo) and Gambia. Ten palms from each country were selected. All together 38 genotypes were analyzed by the AFLP technique using three primer combinations of EcoRl and Mse l. The total number of bands scored was 233 of which 206 (88%) were polymorphic. The total number of bands produced by different primer pair combinations ranged from 64 to 101. Analyses of the results were carried out to determine the degree of heterogeneity and similarity between the population and two dendrograms were generated.

Item Type:Journal
Keywords:Oil palm, AFLP, germplasm, polymorphism, Elaeis guineensi
Subjects:Q Science, Computer Science
ID Code:4107

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