Literature DB >> 21658789

Use of blue-green and chlorophyll fluorescence measurements for differentiation between nitrogen deficiency and pathogen infection in winter wheat.

Kathrin Bürling1, Mauricio Hunsche, Georg Noga.   

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.
Copyright © 2011 Elsevier GmbH. All rights reserved.

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Year:  2011        PMID: 21658789     DOI: 10.1016/j.jplph.2011.03.016

Source DB:  PubMed          Journal:  J Plant Physiol        ISSN: 0176-1617            Impact factor:   3.549


  14 in total

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Journal:  Photosynth Res       Date:  2014-08-15       Impact factor: 3.573

2.  Early detection of stripe rust infection in wheat using light-induced fluorescence spectroscopy.

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3.  Use of Blue-Green Fluorescence and Thermal Imaging in the Early Detection of Sunflower Infection by the Root Parasitic Weed Orobanche cumana Wallr.

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Review 5.  Current and Prospective Methods for Plant Disease Detection.

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7.  Proximal sensing of plant-pathogen interactions in spring barley with three fluorescence techniques.

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Journal:  Sensors (Basel)       Date:  2014-06-24       Impact factor: 3.576

8.  Reducing the Use of Pesticides with Site-Specific Application: The Chemical Control of Rhizoctonia solani as a Case of Study for the Management of Soil-Borne Diseases.

Authors:  Ronan Le Cointe; Thomas E Simon; Patrick Delarue; Maxime Hervé; Melen Leclerc; Sylvain Poggi
Journal:  PLoS One       Date:  2016-09-26       Impact factor: 3.240

9.  A Method of High Throughput Monitoring Crop Physiology Using Chlorophyll Fluorescence and Multispectral Imaging.

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Journal:  Front Plant Sci       Date:  2018-03-28       Impact factor: 5.753

Review 10.  Plant Pest Detection Using an Artificial Nose System: A Review.

Authors:  Shaoqing Cui; Peter Ling; Heping Zhu; Harold M Keener
Journal:  Sensors (Basel)       Date:  2018-01-28       Impact factor: 3.576

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