Early detection of nutrient and biotic stress in Phaseolus vulgaris

Prerequisites for optimal, high crop yield are disease‐free growth and an equilibrated supply of nutrients. Early signatures of stress‐altered physiology, before appearance of symptoms in the visible spectrum, allow timely treatment. Early detection of stress development was carried out on phaseolus vulgaris bean infected with the agriculturally important grey mould pathogen and under conditions of magnesium deficiency, limiting photosynthesis. During stress development, bean plants were monitored by time‐lapse imaging with thermal, video and chlorophyll fluorescence cameras, mounted on a gantry robot system. For early detection of grey mould infection, chlorophyll fluorescence imaging proved to be the most sensitive. This technique detected magnesium deficiency at least three days before visual symptoms appeared. Further development of non‐contact technology for plant health monitoring will help to achieve optimal productivity in greenhouse and field cultures. Associated establishment of a stress catalogue based on early symptoms will allow swift diagnosis.

[1]  D. Stewart,et al.  Oxidative effects in uninfected tissue in leaves of French bean (Phaseolus vulgaris) containing soft rots caused by Botrytis cinerea , 2003 .

[2]  H. Marschner,et al.  High Light Intensity Enhances Chlorosis and Necrosis in Leaves of Zinc, Potassium, and Magnesium Deficient Bean (Phaseolus vulgaris) Plants , 1989 .

[3]  T. Malthus,et al.  High resolution spectroradiometry: Spectral reflectance of field bean leaves infected by Botrytis fabae , 1993 .

[4]  H. Marschner,et al.  Changes in phloem export of sucrose in leaves in response to phosphorus, potassium and magnesium deficiency in bean plants , 1994 .

[5]  M. Montagu,et al.  Presymptomatic visualization of plant–virus interactions by thermography , 1999, Nature Biotechnology.

[6]  E. A. Kirkby,et al.  Effect of mineral nutritional status on shoot-root partitioning of photoassimilates and cycling of mineral nutrients. , 1996, Journal of experimental botany.

[7]  Richard S. Quilliam,et al.  Imaging photosynthesis in wounded leaves of Arabidopsis thaliana. , 2006, Journal of experimental botany.

[8]  D. Straeten,et al.  Infrared detection of early biotic stress in plants. , 2002 .

[9]  T. Roitsch,et al.  Complex regulation of gene expression, photosynthesis and sugar levels by pathogen infection in tomato , 2004 .

[10]  D. Straeten,et al.  Seeing is believing: imaging techniques to monitor plant health. , 2001, Biochimica et biophysica acta.

[11]  R. Strasser,et al.  Physiological characterisation of magnesium deficiency in sugar beet: acclimation to low magnesium differentially affects photosystems I and II , 2004, Planta.

[12]  K. Oxborough,et al.  Imaging of chlorophyll a fluorescence: theoretical and practical aspects of an emerging technique for the monitoring of photosynthetic performance. , 2004, Journal of experimental botany.

[13]  Hamed Hamid Muhammed,et al.  Hyperspectral Crop Reflectance Data for characterising and estimating Fungal Disease Severity in Wheat , 2005 .

[14]  Roberto Oberti,et al.  Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps , 2005, Real Time Imaging.

[15]  Erich-Christian Oerke,et al.  Safeguarding production-losses in major crops and the role of crop protection , 2004 .

[16]  F van den Bosch,et al.  On the spread of plant disease: a theory on foci. , 1994, Annual review of phytopathology.

[17]  J. V. van Kan Licensed to kill: the lifestyle of a necrotrophic plant pathogen. , 2006, Trends in plant science.

[18]  D. Hagenbeek,et al.  Thermal and chlorophyll-fluorescence imaging distinguish plant-pathogen interactions at an early stage. , 2004, Plant & cell physiology.

[19]  Christian Hermans,et al.  Robotized time-lapse imaging to assess in-planta uptake of phenylurea herbicides and their microbial degradation , 2003 .

[20]  H. Jones Application of Thermal Imaging and Infrared Sensing in Plant Physiology and Ecophysiology , 2004 .

[21]  M. Höfte,et al.  Abscisic Acid Determines Basal Susceptibility of Tomato toBotrytis cinerea and Suppresses Salicylic Acid-Dependent Signaling Mechanisms1 , 2002, Plant Physiology.

[22]  E. Weis,et al.  Photosynthesis and carbohydrate metabolism in tobacco leaves during an incompatible interaction with Phytophthora nicotianae , 2005 .

[23]  Hartmut K. Lichtenthaler,et al.  Principles and characteristics of multi-colour fluorescence imaging of plants , 1998 .

[24]  C. Potenza Plants, genes, and crop biotechnology , 2007, In Vitro Cellular & Developmental Biology - Plant.

[25]  Jevin D. West,et al.  Dynamics of stomatal patches for a single surface of Xanthium strumarium L. leaves observed with fluorescence and thermal images , 2005 .

[26]  D. Van Der Straeten,et al.  Thermographic visualization of cell death in tobacco and Arabidopsis , 2001 .

[27]  Hartmut K. Lichtenthaler,et al.  Fluorescence imaging as a diagnostic tool for plant stress , 1997 .

[28]  D. Debieu,et al.  Mechanisms of resistance to fungicides in field strains of Botrytis cinerea. , 2002, Pest management science.

[29]  Michael Unser,et al.  A pyramid approach to subpixel registration based on intensity , 1998, IEEE Trans. Image Process..

[30]  S. Rolfe,et al.  Quantitative imaging of chlorophyll fluorescence. , 1995, The New phytologist.

[31]  U. Steiner,et al.  Journal of Experimental Botany Advance Access published May 19, 2006 Journal of Experimental Botany, Page 1 of 12 , 2022 .

[32]  Charles L. Mulchi,et al.  Fluorescence sensing systems: In vivo detection of biophysical variations in field corn due to nitrogen supply , 2003 .

[33]  H. Muhammed,et al.  Feature vector based analysis of hyperspectral crop reflectance data for discrimination and quantification of fungal disease severity in wheat , 2003 .