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Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding

Scott, MF; Ladejobi, O; Amer, S; Bentley, AR; Biernaskie, J; Boden, SA; Clark, M; ... Mott, R; + view all (2020) Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding. Heredity 10.1038/s41437-020-0336-6. (In press). Green open access

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Abstract

Crop populations derived from experimental crosses enable the genetic dissection of complex traits and support modern plant breeding. Among these, multi-parent populations now play a central role. By mixing and recombining the genomes of multiple founders, multi-parent populations combine many commonly sought beneficial properties of genetic mapping populations. For example, they have high power and resolution for mapping quantitative trait loci, high genetic diversity and minimal population structure. Many multi-parent populations have been constructed in crop species, and their inbred germplasm and associated phenotypic and genotypic data serve as enduring resources. Their utility has grown from being a tool for mapping quantitative trait loci to a means of providing germplasm for breeding programmes. Genomics approaches, including de novo genome assemblies and gene annotations for the population founders, have allowed the imputation of rich sequence information into the descendent population, expanding the breadth of research and breeding applications of multi-parent populations. Here, we report recent successes from crop multi-parent populations in crops. We also propose an ideal genotypic, phenotypic and germplasm 'package' that multi-parent populations should feature to optimise their use as powerful community resources for crop research, development and breeding.

Type: Article
Title: Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41437-020-0336-6
Publisher version: https://doi.org/10.1038/s41437-020-0336-6
Language: English
Additional information: © The Author(s) 2020. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10105477
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