Web of Science: 1 citations, Scopus: 1 citations, Google Scholar: citations,
MyROOT : a method and software for the semiautomatic measurement of primary root length in Arabidopsis seedlings
Betegón Putze, Isabel (Centre de Recerca en Agrigenòmica)
González, Alejandro (Universitat Ramon Llull)
Sevillano, Xavier (Universitat Ramon Llull)
Blasco Escámez, David (Centre de Recerca en Agrigenòmica)
Caño Delgado, Ana I. (Centre de Recerca en Agrigenòmica)

Date: 2019
Abstract: Root analysis is essential for both academic and agricultural research. Despite the great advances in root phenotyping and imaging, calculating root length is still performed manually and involves considerable amounts of labor and time. To overcome these limitations, we developed MyROOT, a software for the semiautomatic quantification of root growth of seedlings growing directly on agar plates. Our method automatically determines the scale from the image of the plate, and subsequently measures the root length of the individual plants. To this aim, MyROOT combines a bottom-up root tracking approach with a hypocotyl detection algorithm. At the same time as providing accurate root measurements, MyROOT also significantly minimizes the user intervention required during the process. Using Arabidopsis, we tested MyROOT with seedlings from different growth stages and experimental conditions. When comparing the data obtained from this software with that of manual root measurements, we found a high correlation between both methods (R2 = 0. 997). When compared with previous developed software with similar features (BRAT and EZ-Rhizo), MyROOT offered an improved accuracy for root length measurements. Therefore, MyROOT will be of great use to the plant science community by permitting high-throughput root length measurements while saving both labor and time.
Note: Número d'acord de subvenció MINECO/BIO2016-78150-P
Note: Número d'acord de subvenció EC/H2020/683163
Note: Número d'acord de subvenció MECD/FPU15/02822
Note: Número d'acord de subvenció MINECO/SEV-2015-0533
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès.
Document: article ; recerca ; publishedVersion
Subject: Root length ; Root phenotyping ; High-throughput image analysis ; Arabidopsis thaliana ; Technical advance
Published in: Plant journal, Vol. 98, Issue 6 (June 2019) , p. 1145-1156, ISSN 1365-313X

DOI: 10.1111/tpj.14297
PMID: 30809923

12 p, 932.7 KB

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 2019-06-20, last modified 2020-02-29

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