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QTLs for oil yield components in an elite oil palm (Elaeis guineensis) cross


Citation

Seng, Tzer Ying and Ritter, Enrique and Mohamed Saad, Siti Hawa and Leao, Ling Jiun and Harminder Singh, Rajinder Singh and Qamaruz Zaman, Faridah and Tan, Soon Guan and Syed Alwee, Sharifah Shahrul Rabiah and Rao, Vengeta (2016) QTLs for oil yield components in an elite oil palm (Elaeis guineensis) cross. Euphytica, 212 (3). pp. 399-425. ISSN 0014-2336; ESSN: 1573-5060

Abstract

Increased modern farming of superior types of the oil palm, Elaeis guineensis Jacq., which has naturally efficient oil biosynthesis, has made it the world’s foremost edible oil crop. Breeding improvement is, however, circumscribed by time and costs associated with the tree’s long reproductive cycle, large size and 10–15 years of field testing. Marker-assisted breeding has considerable potential for improving this crop. Towards this, quantitative trait loci (QTL) linked to oil yield component traits were mapped in a high-yield population. In total, 164 QTLs associated with 21 oil yield component traits were discovered, with cumulative QTL effects increasing in tandem with the number of QTL markers and matching the QT+ alleles for each trait. The QTLs confirmed all traits to be polygenic, with many genes of individual small effects on independent loci, but epistatic interactions are not ruled out. Furthermore, several QTLs maybe pleiotropic as suggested by QTL clustering of inter-related traits on almost all linkage groups. Certain regions of the chromosomes seem richer in the genes affecting a particular yield component trait and likely encompass pleiotropic, epistatic and heterotic effects. A large proportion of the identified additive effects from QTLs may actually arise from genic interactions between loci. Comparisons with previous mapping studies show that most of the QTLs were for similar traits and shared similar marker intervals on the same linkage groups. Practical applications for such QTLs in marker-assisted breeding will require seeking them out in different genetic backgrounds and environments.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute of Bioscience
DOI Number: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s10681-016-1771-6
Publisher: Springer
Keywords: Elaeis guineensis; Oil palm; Genetic linkage map; SSR; QTL mapping; QTL effects
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 10 Jan 2018 03:06
Last Modified: 10 Jan 2018 03:06
Altmetrics: 10.1007/s10681-016-1771-6
URI: http://psasir.upm.edu.my/id/eprint/53706
Statistic Details: View Download Statistic

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