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Genome-wide identification of markers for selecting higher oil content in oil palm

Authors :
Bin Bai
Le Wang
May Lee
Yingjun Zhang
Rahmadsyah
Yuzer Alfiko
Bao Qing Ye
Zi Yi Wan
Chin Huat Lim
Antonius Suwanto
Nam-Hai Chua
Gen Hua Yue
Source :
BMC Plant Biology, Vol 17, Iss 1, Pp 1-11 (2017)
Publication Year :
2017
Publisher :
BMC, 2017.

Abstract

Abstract Background Oil palm (Elaeis guineensis, Jacq.) is the most important source of edible oil. The improvement of oil yield is currently slow in conventional breeding programs due to long generation intervals. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement. To identify DNA markers associated with oil content traits for MAS, we performed quantitative trait loci (QTL) mapping using genotyping by sequencing (GBS) in a breeding population derived from a cross between Deli Dura and Ghana Pisifera, containing 153 F1 trees. Results We constructed a high-density linkage map containing 1357 SNPs and 123 microsatellites. The 16 linkage groups (LGs) spanned 1527 cM, with an average marker space of 1.03 cM. One significant and three suggestive QTL for oil to bunch (O/B) and oil to dry mesocarp (O/DM) were mapped on LG1, LG8, and LG10 in a F1 breeding population, respectively. These QTL explained 7.6–13.3% of phenotypic variance. DNA markers associated with oil content in these QTL were identified. Trees with beneficial genotypes at two QTL for O/B showed an average O/B of 30.97%, significantly (P

Details

Language :
English
ISSN :
14712229
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Plant Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.19105183441f4466ac8f736a6242abd5
Document Type :
article
Full Text :
https://doi.org/10.1186/s12870-017-1045-z