Image analysis for the automatic phenotyping of Orobanche cumana tubercles on sunflower roots - Laboratoire des Interactions Plantes Microbes Environnement Accéder directement au contenu
Article Dans Une Revue Plant Methods Année : 2021

Image analysis for the automatic phenotyping of Orobanche cumana tubercles on sunflower roots

Résumé

Background The parasitic plant Orobanche cumana races have evolved and have overcome introgressed resistance genes, leading to the recurrent need for new resistance methods. Screening for resistance requires the phenotyping of thousands of sunflower plants to various O. cumana races. Most phenotyping experiments have been performed in fields at the later stage of the interaction, requiring time and space. A rapid phenotyping screening method under controlled conditions would need less space and would allow screening for resistance of many sunflower genotypes. Our study proposes a phenotyping tool for the sunflower/ O. cumana interaction under controlled conditions through image analysis for broomrape tubercle analysis at early stages of the interaction. Results We optimized the phenotyping of sunflower/ O. cumana interactions by using rhizotrons (transparent Plexiglas boxes) in a growth chamber to control culture conditions and Orobanche inoculum. We used a Raspberry Pi computer with a picamera for acquiring images of inoculated sunflower roots 3 weeks post inoculation. We set up a macro using ImageJ free software for the automatic counting of the number of tubercles. This phenotyping tool was named RhizOSun. We evaluated five sunflower genotypes inoculated with two O. cumana races and showed that automatic counting of the number of tubercles using RhizOSun was highly correlated with manual time-consuming counting and could be efficiently used for screening sunflower genotypes at the tubercle stage. Conclusion This method is rapid, accurate and low-cost. It allows rapid imaging of numerous rhizotrons over time, and it enables image tracking of all the data with time kinetics. This paves the way toward automatization of phenotyping in rhizotrons that could be used for other root phenotyping, such as symbiotic nodules on legumes.
Fichier principal
Vignette du fichier
Le Ru-PM-2021.pdf (2 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03529667 , version 1 (18-01-2022)

Licence

Paternité

Identifiants

Citer

A. Le Ru, G. Ibarcq, M.- Boniface, A. Baussart, S. Muños, et al.. Image analysis for the automatic phenotyping of Orobanche cumana tubercles on sunflower roots. Plant Methods, 2021, 17 (1), 14 p. ⟨10.1186/s13007-021-00779-6⟩. ⟨hal-03529667⟩
32 Consultations
33 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More