title: Use of blue-green and chlorophyll fluorescence measurements for differentiation between nitrogen deficiency and pathogen infection in winter wheat.
abstract: In recent years, several sensor-based approaches have been established to early detect single plant stresses, but the challenge of discriminating between simultaneously occurring stressors still remains. Earlier studies on wheat plants strongly affected by pathogens and nitrogen deficiency indicated that chlorophyll fluorescence might be suited to distinguish between the two stressors. Nevertheless, there is lack of information on the pre-symptomatic detection of synchronized occurrence of slight N-deficiency and the early stages of pathogen infection. The usefulness of the blue, green, and yellow fluorescence signals in this context has not yet been explored. We hypothesized that differentiation between wheat plants' physiological reaction due to N-deficiency and leaf rust (Puccinia triticina) as well as N-deficiency and powdery mildew (Blumeria graminis f. sp. tritici) might be accomplished by means of UV laser-induced fluorescence spectral measurements between 370 and 620nm in addition to chlorophyll fluorescence (640-800nm). Plants were provided with either a normal or a modified Hoagland nutrient solution in order to induce a slight N deficit. Pathogen inoculation was carried out on the second fully developed leaf. Four experimental groups were evaluated: (a) N-full-supply [N+]; (b) N-deficiency [N-]; (c) N-full-supply+pathogen [N+/LR] or [N+/PM]; (d) N-deficiency+pathogen [N-/LR] or [N-/PM]. The results revealed that, in addition to the amplitude ratio of R/FR fluorescence, B/G fluorescence also facilitated reliable and robust discrimination among the four experimental groups. The discrimination among the experimental groups was accomplished as early as one and two days after inoculation for powdery mildew and leaf rust infection, respectively. During the 3days evaluation period, the differences among the treatment groups became more evident. Moreover, several other amplitude ratios and half-bandwidth ratios proved to be suited to early detect fungal infection, irrespective of the nitrogen status of the plant.
authors.affiliation: University of Bonn, Institute of Crop Science and Resource Conservation (INRES) - Horticultural Science, Auf dem Hügel 6, D-53121 Bonn, Germany.
authors.forename: Kathrin
authors.initials: K
authors.lastname: Bürling
authors.forename: Mauricio
authors.initials: M
authors.lastname: Hunsche
authors.forename: Georg
authors.initials: G
authors.lastname: Noga
mesh_terms: D001203:Ascomycota / Q000502:physiology*; D001487:Basidiomycota / Q000502:physiology*; D002734:Chlorophyll / Q000378:metabolism*; D005453:Fluorescence; D009584:Nitrogen / Q000172:deficiency / Q000378:metabolism*; D055100:Optical Fibers; D010935:Plant Diseases / Q000382:microbiology*; D018515:Plant Leaves / Q000378:metabolism / Q000382:microbiology / Q000502:physiology; D013050:Spectrometry, Fluorescence; D013997:Time Factors; D014908:Triticum / Q000378:metabolism / Q000382:microbiology / Q000502:physiology*
chemical_list: D002734:Chlorophyll; D009584:Nitrogen