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rosettR : protocol and software for seedling area and growth analysis

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Tomé, Filipa, Jansseune, Karel, Saey, Bernadette, Grundy, Jack, Vandenbroucke, Korneel, Hannah, Matthew A. and Redestig, Henning (2017) rosettR : protocol and software for seedling area and growth analysis. Plant Methods, 13 . 13. doi:10.1186/s13007-017-0163-9

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Official URL: https://doi.org/10.1186/s13007-017-0163-9

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Abstract

Growth is an important parameter to consider when studying the impact of treatments or mutations on plant physiology. Leaf area and growth rates can be estimated efficiently from images of plants, but the experiment setup, image analysis, and statistical evaluation can be laborious, often requiring substantial manual effort and programming skills. Here we present rosettR, a non-destructive and high-throughput phenotyping protocol for the measurement of total rosette area of seedlings grown in plates in sterile conditions. We demonstrate that our protocol can be used to accurately detect growth differences among different genotypes and in response to light regimes and osmotic stress. rosettR is implemented as a package for the statistical computing software R and provides easy to use functions to design an experiment, analyze the images, and generate reports on quality control as well as a final comparison across genotypes and applied treatments. Experiment procedures are included as part of the package documentation. Using rosettR it is straight-forward to perform accurate, reproducible measurements of rosette area and relative growth rate with high-throughput using inexpensive equipment. Suitable applications include screening mutant populations for growth phenotypes visible at early growth stages and profiling different genotypes in a wide variety of treatments.

Item Type: Journal Article
Subjects: S Agriculture > SB Plant culture
Divisions: Faculty of Science > Life Sciences (2010- )
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Plant genetics., Phenotype., Crops -- Physiology., Leaves -- Growth., Growth (Plants) -- Experiments.
Journal or Publication Title: Plant Methods
Publisher: BioMed Central Ltd.
ISSN: 1746-4811
Official Date: 15 March 2017
Dates:
DateEvent
15 March 2017Published
5 March 2017Accepted
Date of first compliant deposit: 19 September 2017
Volume: 13
Article Number: 13
DOI: 10.1186/s13007-017-0163-9
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: ** From PubMed via Jisc Publications Router. ** History: ** received: 23-05-2016 ** accepted: 05-03-2017
Access rights to Published version: Open Access
Funder: European Union (EU), Bayer CropScience Limited, Agentschap Innovatie door Wetenschap en Technologie (IWT)
Grant number: 264474

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