ArticlePlanta2016
Chlorophyll fluorescence imaging as a tool to monitor the progress of a root pathogen in a perennial plant.
Article in Planta, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 54 citations in OpenAlex.
- Pseudomonas chlororaphis IRHB3 suppresses Soybean mosaic virus by coordinating photosynthetic protection, ROS homeostasis and hormone-mediated immunity.Pest management science · 2026Article
- Exogenous porcine blood polypeptide alleviates drought damage in wheat.BMC plant biology · 2026Article
- Leveraging chlorophyll fluorescence uncovers potato virus Y resistance in potato and its validation through viral quantification and yield loss studies.Plant cell reports · 2025Article
- Exploration and genetic analyses of canopy leaf pigmentation changes in soybean (Glycine max L.): unveiling a novel phenotype.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Comparison of the Efficiency of Hyperspectral and Pulse Amplitude Modulation Imaging Methods in Pre-Symptomatic Virus Detection in Tobacco Plants.Plants (Basel, Switzerland) · 2023Article
- Effects of exogenous glycine betaine and cycloleucine on photosynthetic capacity, amino acid composition, and hormone metabolism in Solanum melongena L.Scientific reports · 2023Article
- The multifaceted roles of Arbuscular Mycorrhizal Fungi in peanut responses to salt, drought, and cold stress.BMC plant biology · 2023Article
- Chlorophyll Fluorescence Imaging as a Tool for Evaluating Disease Resistance of Common Bean Lines in the Western Amazon Region of Colombia.Plants (Basel, Switzerland) · 2022Article
- Plant disease symptom segmentation in chlorophyll fluorescence imaging with a synthetic dataset.Frontiers in plant science · 2022Article
- Pre-Symptomatic Detection of Viral Infection in Tobacco Leaves Using PAM Fluorometry.Plants (Basel, Switzerland) · 2021Article
- Article
- Photosynthetic rate and chlorophyll fluorescence of barley exposed to simulated acid rain.Environmental science and pollution research international · 2021Article
- Silencing of Phytopathogen Communication by the Halotolerant PGPRMicroorganisms · 2019Article
- Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging.Frontiers in plant science · 2019Review
- Priming With the Green Leaf Volatile (Z)-3-Hexeny-1-yl Acetate Enhances Salinity Stress Tolerance in Peanut (Frontiers in plant science · 2019Article
- A Method of High Throughput Monitoring Crop Physiology Using Chlorophyll Fluorescence and Multispectral Imaging.Frontiers in plant science · 2018Article
- Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing.Frontiers in plant science · 2017Article
- Detection of Photosynthetic Performance of Stipa bungeana Seedlings under Climatic Change using Chlorophyll Fluorescence Imaging.Frontiers in plant science · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MAIN
conclusionThe chlorophyll fluorescence parameter ΦNO is an excellent metric for the non-destructive monitoring of disease progression, measured over a broad range of light intensities. The suitability of the slow induction chlorophyll fluorescence parameters ΦPSII, ΦNPQ, and ΦNO to monitor in vivo disease progression in a host-root pathogen pathosystem was evaluated and compared to the established method of monitoring disease by measuring Fv/Fm. Using the infection of ginseng plants (Panax quinquefolius L.) with Pythium irregulare Buisman as a model, light response curves were used to establish the optimal irradiance for the resolution of differences between fluorescence parameters ΦPSII, ΦNPQ and ΦNO. As infection progressed only changes in ΦNO remained consistent with increased irradiance, and increased as infection progressed. Furthermore, ΦNO showed a high sensitivity for distinguishing increased disease load. In contrast, the magnitude in change of ΦPSII and ΦNPQ were sensitive to irradiance levels. The magnitude of increase in ΦNO per unit disease score was equivalent to the corresponding decline in Fv/Fm values. Thus ΦNO is as sensitive as Fv/Fm in monitoring biotic stress. The ability to measure ΦNO under a wide range of light intensities, including natural light, potentially without the need for dark adaptation, means that it can be used in the development of a general protocol for non-invasive, in vivo monitoring of plant health, from the laboratory to the field scale.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.