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MyROOT 2.0 : An automatic tool for high throughput and accurate primary root length measurement
González, Alejandro (Universitat Ramon Llull. La Salle. Grup de recerca en Tecnologies Media)
Sevillano, Xavier (Universitat Ramon Llull. La Salle. Grup de recerca en Tecnologies Media)
Betegón Putze, Isabel (Centre de Recerca en Agrigenòmica)
Blasco Escámez, David (Centre de Recerca en Agrigenòmica)
Ferrer, Marc (Universitat Ramon Llull. La Salle. Grup de recerca en Tecnologies Media)
Caño Delgado, Ana I. (Centre de Recerca en Agrigenòmica)

Date: 2020
Abstract: The automatic measurement of external physical traits (i. e. phenotyping) of plant organs, such as root length -which is highly correlated with plant viability- is one of the current bottlenecks in academic and agricultural research. Although many root length measurement software tools are available to the community, plant scientists often find their usability is limited, the measurements they provide are not accurate enough or they are too limited to specific image characteristics. In response to that, this work describes MyROOT 2. 0, an automatic software tool jointly developed by plant scientists and computer vision engineers to create a high throughput root length measurement tool that reduces user intervention to a minimum. Using Arabidopsis thaliana seedlings grown on agar plates as a case study, MyROOT 2. 0 is capable of detecting the root regions of interest in a fully automatic manner with an accuracy of 98%. Furthermore, this work also presents previously unreported experiments to evaluate several constituting modules of MyROOT 2. 0, such as the ability to determine image scale automatically with subpixel accuracy, or the influence of training the hypocotyl detector using wildtype or mutant samples. Finally, when compared to state-of-the-art root length measurement software tools, MyROOT 2. 0 achieves the highest root detection rate, obtaining measurements which are four times more accurate than its competitors. This makes MyROOT 2. 0 an attractive tool for high throughput root phenotyping.
Note: Número d'acord de subvenció MINECO/BIO2016-78955
Note: Número d'acord de subvenció EC/H2020/683163
Note: Número d'acord de subvenció MECD/FPU15/0282
Note: Número d'acord de subvenció MINECO/SEV-2015-485 0533
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès.
Document: article ; recerca ; acceptedVersion
Subject: Plant phenotyping ; Root length measurement ; Imaging tools ; Plant science ; High throughput Root phenotyping
Published in: Computers and Electronics in Agriculture, Vol. 168 (January 2020) , art. 105125, ISSN 0168-1699

DOI: 10.1016/j.compag.2019.105125

Available from: 2022-01-31

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (scientific output) > Experimental sciences > CRAG (Centre for Research in Agricultural Genomics)
Articles > Research articles
Articles > Published articles

 Record created 2020-02-12, last modified 2020-03-13

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