Spectral Patterns Reveal Early Resistance Reactions of Barley Against Blumeria graminis f. sp. hordei

2017 | journal article. A publication with affiliation to the University of Göttingen.

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​Spectral Patterns Reveal Early Resistance Reactions of Barley Against Blumeria graminis f. sp. hordei​
Kuska, M. T.; Brugger, A.; Thomas, S.; Wahabzada, M.; Kersting, K.; Oerke, E.-C. & Steiner, U. et al.​ (2017) 
Phytopathology107(11) pp. 1388​-1398​.​ DOI: https://doi.org/10.1094/PHYTO-04-17-0128-R 

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Authors
Kuska, Matheus Thomas; Brugger, Anna; Thomas, Stefan; Wahabzada, Mirwaes; Kersting, Kristian; Oerke, Erich-Christian; Steiner, Ulrike; Mahlein, Anne-Katrin
Abstract
Differences in early plant-pathogen interactions are mainly characterized by using destructive methods. Optical sensors are advanced techniques for phenotyping host-pathogen interactions on different scales and for detecting subtle plant resistance responses against pathogens. A microscope with a hyperspectral camera was used to study interactions between Blumeria graminis f. sp. hordei and barley (Hordeum vulgare) genotypes with high susceptibility or resistance due to hypersensitive response (HR) and papilla formation. Qualitative and quantitative assessment of pathogen development was used to explain changes in hyperspectral signatures. Within 48 h after inoculation, genotype-specific changes in the green and red range (500 to 690 nm) and a blue shift of the red-edge inflection point were observed. Manual analysis indicated resistance-specific reflectance patterns from 1 to 3 days after inoculation. These changes could be linked to host plant modifications depending on individual host-pathogen interactions. Retrospective analysis of hyperspectral images revealed spectral characteristics of HR against B. graminis f. sp. hordei. For early HR detection, an advanced data mining approach localized HR spots before they became visible on the RGB images derived from hyperspectral imaging. The link among processes during pathogenesis and host resistance to changes in hyperspectral signatures provide evidence that sensor-based phenotyping is suitable to advance time-consuming and cost-expensive visual rating of plant disease resistances
Issue Date
2017
Journal
Phytopathology 
ISSN
1943-7684; 0031-949X
Language
English

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