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Pàgina inicial > Articles > Articles publicats > MyROOT : |
Data: | 2019 |
Resum: | 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. |
Ajuts: | Ministerio de Economía y Competitividad BIO2016-78150-P European Commission 683163 Ministerio de Educación, Cultura y Deporte FPU15/02822 Ministerio de Economía y Competitividad SEV-2015-0533 |
Drets: | 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. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió publicada |
Matèria: | Root length ; Root phenotyping ; High-throughput image analysis ; Arabidopsis thaliana ; Technical advance |
Publicat a: | The Plant journal, Vol. 98, Issue 6 (June 2019) , p. 1145-1156, ISSN 1365-313X |
12 p, 932.7 KB |