Advances in Bioscience and Biotechnology

Volume 12, Issue 12 (December 2021)

ISSN Print: 2156-8456   ISSN Online: 2156-8502

Google-based Impact Factor: 1.18  Citations  h5-index & Ranking

Genome Mapping to Enhance Efficient Marker-Assisted Selection and Breeding of the Oil Palm (Elaeis guineensis Jacq.)

HTML  XML Download Download as PDF (Size: 568KB)  PP. 407-425  
DOI: 10.4236/abb.2021.1212026    265 Downloads   1,457 Views  Citations

ABSTRACT

The oil palm (Elaeis guineensis Jacq.) is one of the major cultivated crops among the economically important palm species. It is cultivated mainly for its edible oil. For a perennial crop like oil palm, the use of Marker Assisted Selection (MAS) techniques helps to reduce the breeding cycle and improve the economic products. Genetic and physical maps are important for sequencing experiments since they show the exact positions of genes and other distinctive features in the chromosomal DNA. This review focuses on the role of genome mapping in oil palm breeding. It assesses the role of genome mapping in oil palm breeding and discusses the major factors affecting such mapping. Generating a high-density map governed by several factors, for instance, marker type, marker density, number of mapped population, and software used are the major issues treated. The general conclusion is that genome mapping is pivotal in the construction of a genetic linkage map. It helps to detect QTL and identify genes that control quantitative traits in oil palm. In perspective, the use of high-density molecular markers with a large number of markers, a large number mapping population, and up-to-date software is necessary for oil palm genome mapping.

Share and Cite:

Seyum, E. , Bille, N. , Abtew, W. , Ntsomboh-Ntsefong, G. and Bell, J. (2021) Genome Mapping to Enhance Efficient Marker-Assisted Selection and Breeding of the Oil Palm (Elaeis guineensis Jacq.). Advances in Bioscience and Biotechnology, 12, 407-425. doi: 10.4236/abb.2021.1212026.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.