In a new publication, Emina Mulaosmanovic and co-authors describe the use of phenotyping technologies to detect post-harvest damage on leaves.
Plants are exposed to factors which cause tissue damage, like environmental stress (abiotic), herbivores (biotic), and mechanical injury from agricultural practices or poor handling.
The aim of the paper was to develop a method for detection and quantification of damage on leaf scale. Lesions were detected by staining detached leaves with trypan blue. For automated quantification and classification of stained areas the authors developed an image analysis pipeline, combining established digital image processing methods. With this method, effects of different biotic and abiotic factors to plant tissue, and mechanical damage can be studied, and plant cultivars can be screened for plant susceptibility to specific pathogens. Cell damage due to interactions of plant cultivar, pathogen strain and environmental factors can be assessed at different time points from inoculation to generation of first visible infection symptoms using the proposed approach.
We are arranging a webinar to discuss this paper on 25 August at 14:00 CET: https://slu-se.zoom.us/j/65309503030
Anyone interested is welcome to join, no preregistration needed!