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Morphological and genetic characterisation of the root system architecture of selected barley recombinant chromosome substitution lines using an integrated phenotyping approach

De La Fuente Canto, C.; Kalogiros, D.I.; Ptashnyk, M.; George, T.S.; Waugh, R.; Bengough, A.G.; Russell, J.; Dupuy, L.X.

Authors

C. De La Fuente Canto

D.I. Kalogiros

M. Ptashnyk

T.S. George

R. Waugh

A.G. Bengough

J. Russell

L.X. Dupuy



Abstract

Discoveries on the genetics of resource acquisition efficiency are limited by the ability to measure plant roots in sufficient number and with adequate genotypic variability. This paper presents a root phenotyping study that explores ways to combine live imaging and computer algorithms for model-based extraction of root growth parameters. The study is based on a subset of barley Recombinant Chromosome Substitution Lines (RCSLs) and a combinatorial approach was designed for fast identification of the regions of the genome that contribute the most to variations in root system architecture (RSA). Results showed there was a strong genotypic variation in root growth parameters within the set of genotypes studied. The chromosomal regions associated with primary root growth differed from the regions of the genome associated with changes in lateral root growth. The concepts presented here are discussed in the context of identifying root QTL and its potential to assist breeding for novel crops with improved root systems.

Citation

De La Fuente Canto, C., Kalogiros, D., Ptashnyk, M., George, T., Waugh, R., Bengough, A., …Dupuy, L. (2018). Morphological and genetic characterisation of the root system architecture of selected barley recombinant chromosome substitution lines using an integrated phenotyping approach. Journal of Theoretical Biology, 447, https://doi.org/10.1016/j.jtbi.2018.03.020

Journal Article Type Article
Acceptance Date Mar 13, 2018
Online Publication Date Mar 17, 2018
Publication Date Jun 14, 2018
Deposit Date Jun 19, 2018
Publicly Available Date Mar 18, 2019
Journal Journal of Theoretical Biology
Print ISSN 0022-5193
Electronic ISSN 0022-5193
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 447
DOI https://doi.org/10.1016/j.jtbi.2018.03.020
Keywords Root phenotyping ; QTL ; Barley ; RCSL ; Growth parameters ; Computer-assisted breeding
Public URL http://eprints.nottingham.ac.uk/id/eprint/52491
Publisher URL https://www.sciencedirect.com/science/article/pii/S0022519318301346?via%3Dihub
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0






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