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Zhang, A., Wang, H., Beyene, Y., Semagn, K., Liu, Y., Cao, S., Cui, Z., Ruan, Y., Burgueno, J., San Vicente, F., Olsen, M., Prasanna, B.M., Crossa, J., Yu, H. and Zhang, X. (2017) Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 Bi-Parental Tropical Maize Populations. Frontiers in Plant Science, 8, Article No. 1916.
https://doi.org/10.3389/fpls.2017.01916

has been cited by the following article:

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

  AUTHORS: Essubalew Getachew Seyum, Ngalle Hermine Bille, Wosene Gebreselassie Abtew, Godswill Ntsomboh-Ntsefong, Joseph Martin Bell

  KEYWORDS: Genome Mapping, Crop Improvement, Marker Assisted Selection, Oil Palm, Biotechnology

  JOURNAL NAME: Advances in Bioscience and Biotechnology, Vol.12 No.12, December 13, 2021

  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.