An integrated linkage map of interspecific backcross 2 (BC2) populations reveals QTLs associated with fatty acid composition and vegetative parameters influencing compactness in oil palm

  • Zulkifli Yaakub (Creator)
  • Katialisa Kamaruddin (Creator)
  • Rajinder Singh (Creator)
  • Suzana Mustafa (Creator)
  • Marhalil Marjuni (Creator)
  • Ngoot-chin Ting (Creator)
  • Mohd Din Amiruddin (Creator)
  • Low Eng Ti Leslie (Creator)
  • Ooi Leslie Cheng-Li (Creator)
  • Kandha Sritharan (Creator)
  • Rajanaidu Nookiah (Creator)
  • Johannes Jansen (Creator)
  • Meilina Ong Abdullah (Creator)

Dataset

Description

Background Molecular breeding has opened new avenues for crop improvement with the potential for faster progress. As oil palm is the major producer of vegetable oil in the world, its improvement, such as developing compact planting materials and altering its oils’ fatty acid composition for wider application, is important. Results This study sought to identify the QTLs associated with fatty acid composition and vegetative traits for compactness in the crop. It integrated two interspecific backcross two (BC2) mapping populations to improve the genetic resolution and evaluate the consistency of the QTLs identified. A total 1963 markers (1814 SNPs and 149 SSRs) spanning a total map length of 1793 cM were integrated into a consensus map. For the first time, some QTLs associated with vegetative parameters and carotene content were identified in interspecific hybrids, apart from those associated with fatty acid composition. The analysis identified 8, 3 and 8 genomic loci significantly associated with fatty acids, carotene content and compactness, respectively. Conclusions Major genomic region influencing the traits for compactness and fatty acid composition was identified in the same chromosomal region in the two populations using two methods for QTL detection. Several significant loci influencing compactness, carotene content and FAC were common to both populations, while others were specific to particular genetic backgrounds. It is hoped that the QTLs identified will be useful tools for marker-assisted selection and accelerate the identification of desirable genotypes for breeding.
Date made available30 Jul 2020

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