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A scanner system for high-resolution quantification of variation in root growth dynamics of Brassica rapa genotypes

Adu, Michael Osei; Chatot, Antoine; Wiesel, Lea; Bennett, Malcolm J.; Broadley, Martin R.; White, Philip J.; Dupuy, Lionel X.

Authors

Michael Osei Adu

Antoine Chatot

Lea Wiesel

Martin R. Broadley

Philip J. White

Lionel X. Dupuy



Abstract

The potential exists to breed for root system architectures that optimize resource acquisition. However, this requires the ability to screen root system development quantitatively, with high resolution, in as natural an environment as possible, with high throughput. This paper describes the construction of a low-cost, high-resolution root phenotyping platform, requiring no sophisticated equipment and adaptable to most laboratory and glasshouse environments, and its application to quantify environmental and temporal variation in root traits between genotypes of Brassica rapa L. Plants were supplied with a complete nutrient solution through the wick of a germination paper. Images of root systems were acquired without manual intervention, over extended periods, using multiple scanners controlled by customized software. Mixed-effects models were used to describe the sources of variation in root traits contributing to root system architecture estimated from digital images. It was calculated that between one and 43 replicates would be required to detect a significant difference (95% CI 50% difference between traits). Broad-sense heritability was highest for shoot biomass traits (>0.60), intermediate (0.25–0.60) for the length and diameter of primary roots and lateral root branching density on the primary root, and lower (

Journal Article Type Article
Publication Date 2014-05
Journal Journal of Experimental Botany
Print ISSN 0022-0957
Electronic ISSN 1460-2431
Publisher Oxford University Press
Peer Reviewed Peer Reviewed
Volume 65
Issue 8
Pages 2039-2048
APA6 Citation Adu, M. O., Chatot, A., Wiesel, L., Bennett, M. J., Broadley, M. R., White, P. J., & Dupuy, L. X. (2014). A scanner system for high-resolution quantification of variation in root growth dynamics of Brassica rapa genotypes. Journal of Experimental Botany, 65(8), 2039-2048. https://doi.org/10.1093/jxb/eru048
DOI https://doi.org/10.1093/jxb/eru048
Keywords Architecture, high-resolution, high throughput, model, nitrogen, phenotyping, phosphorus, root
Publisher URL http://jxb.oxfordjournals.org/content/65/8/2039
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/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/4.0





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