Literature DB >> 11418181

Seeing is believing: imaging techniques to monitor plant health.

L Chaerle1, D Van Der Straeten.   

Abstract

Historically, early stress-induced changes in plants have been mainly detected after destructive sampling followed by biochemical and molecular determinations. Imaging techniques that allow immediate detection of stress-situations, before visual symptoms appear and adverse effects become established, are emerging as promising tools for crop yield management. Such monitoring approaches can also be applied to screen plant populations for mutants with increased stress tolerance. At the laboratory scale, different imaging methods can be tested and one or a combination best suited for crop surveillance chosen. The system of choice can be applied under controlled laboratory conditions to guide selective sampling for the molecular characterisation of rapid stress-induced changes. Such an approach permits to isolate presymptomatically induced genes, or to obtain a panoramic view of early gene expression using gene-arrays when plants undergo physiological changes undetected by the human eye. Using this knowledge, plants can be engineered to be more stress resistant, and tested for field performance by the same methodologies. In ongoing efforts of genome characterisation, genes of unknown function are revealed at an ever-accelerating pace. By monitoring changes in phenotypic characteristics of transgenic plants expressing those genes, imaging techniques could help to identify their function.

Entities:  

Mesh:

Year:  2001        PMID: 11418181     DOI: 10.1016/s0167-4781(01)00238-x

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  20 in total

1.  Imaging viral infection: studies on Nicotiana benthamiana plants infected with the pepper mild mottle tobamovirus.

Authors:  María Luisa Pérez-Bueno; Massimo Ciscato; Martin VandeVen; Isabel García-Luque; Roland Valcke; Matilde Barón
Journal:  Photosynth Res       Date:  2007-01-03       Impact factor: 3.573

2.  Case study of combinatorial imaging: what protocol and what chlorophyll fluorescence image to use when visualizing infection of Arabidopsis thaliana by Pseudomonas syringae?

Authors:  Karel Matous; Zuzana Benediktyová; Susanne Berger; Thomas Roitsch; Ladislav Nedbal
Journal:  Photosynth Res       Date:  2007-01-09       Impact factor: 3.573

3.  Biodegradation of linuron in a Phaseolus bioassay detected by chlorophyll fluorescence.

Authors:  Kris Hulsen; Eva M Top; Monica Höfte
Journal:  New Phytol       Date:  2002-06       Impact factor: 10.151

4.  Acclimations to light quality on plant and leaf level affect the vulnerability of pepper (Capsicum annuum L.) to water deficit.

Authors:  Anna M Hoffmann; Georg Noga; Mauricio Hunsche
Journal:  J Plant Res       Date:  2015-01-28       Impact factor: 2.629

Review 5.  Chlorophyll fluorescence imaging of plant-pathogen interactions.

Authors:  Stephen Alexander Rolfe; Julie Diane Scholes
Journal:  Protoplasma       Date:  2010-09-03       Impact factor: 3.356

6.  Microbially assisted phytoremediation approaches for two multi-element contaminated sites.

Authors:  Francesca Langella; Anja Grawunder; Romy Stark; Aileen Weist; Dirk Merten; Götz Haferburg; Georg Büchel; Erika Kothe
Journal:  Environ Sci Pollut Res Int       Date:  2013-10-01       Impact factor: 4.223

7.  Chlorophyll fluorescence imaging as a tool to monitor the progress of a root pathogen in a perennial plant.

Authors:  Dimitre A Ivanov; Mark A Bernards
Journal:  Planta       Date:  2015-11-04       Impact factor: 4.116

Review 8.  Signature Optical Cues: Emerging Technologies for Monitoring Plant Health.

Authors:  Oi Wah Liew; Pek Ching Jenny Chong; Bingqing Li; Anand K Asundi
Journal:  Sensors (Basel)       Date:  2008-05-16       Impact factor: 3.576

Review 9.  Review: Application of Artificial Intelligence in Phenomics.

Authors:  Shona Nabwire; Hyun-Kwon Suh; Moon S Kim; Insuck Baek; Byoung-Kwan Cho
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

10.  High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis.

Authors:  Céline Rousseau; Etienne Belin; Edouard Bove; David Rousseau; Frédéric Fabre; Romain Berruyer; Jacky Guillaumès; Charles Manceau; Marie-Agnès Jacques; Tristan Boureau
Journal:  Plant Methods       Date:  2013-06-13       Impact factor: 4.993

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