ArticleScientific reports2019
Sensitive approach and future perspectives in microscopic patterns of mycorrhizal roots.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- From manual scoring to machine learning: recent developments in image-based arbuscular mycorrhizal fungi root quantification.Mycorrhiza · 2026Review
- Long-Term Effects of Organo-Mineral Fertilization on Floristic Composition and Biodiversity in High Nature Value Mountain Grasslands of the Apuseni Mountains (Romania).Plants (Basel, Switzerland) · 2026Article
- Effects of Management and Climatic Variability on Indicator Species and Biomass Production in Carpathian Mountain Grasslands.Plants (Basel, Switzerland) · 2026Article
- The Effect of Fertilization on Floristic Composition and Biodiversity of Montane Grasslands (HNV) in the Eastern Carpathians.Plants (Basel, Switzerland) · 2025Article
- Arbuscular Mycorrhizal Fungi and Fertilization Influence Yield, Growth and Root Colonization of Different Tomato Genotype.Plants (Basel, Switzerland) · 2022Article
- Methods for assessing the quality of AM fungal bio-fertilizer: Retrospect and future directions.World journal of microbiology & biotechnology · 2022Review
- Models of mycorrhizal colonization patterns and strategies induced by biostimulator treatments inFrontiers in plant science · 2022Article
- Mycorrhizal Patterns in the Roots of DominantPlants (Basel, Switzerland) · 2021Article
- Divergence in Corn Mycorrhizal Colonization Patterns Due to Organic Treatment.Plants (Basel, Switzerland) · 2021Article
- VBA-AMF: A VBA Program Based on the Magnified Intersections Method for Quantitative Recording of Root Colonization by Arbuscular Mycorrhizal Fungi.Indian journal of microbiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The harmonization of methodologies for the assessment of radicular endophytic colonization is a current necessity, especially for the arbuscular mycorrhizas. The functionality of mycorrhizal symbionts for plants can be described only by indicators obtained based on microscopic analysis. That is the reason for which a unifying methodology will lead to the achievement of highly correlated indicators comparable from one research to another. Our proposed methodology can further digitize the microscopic observations of colonization. The MycoPatt system is developed as a methodological framework for obtaining objective and comparable microscopic observations. The horizontal, vertical and transversal indicators are highly adaptable and allow the tracking of mycorrhizal colonization in root length. All structures developed by symbionts can be traced and the obtained metadata can be compared without any transformation. Mycorrhizal maps have a high degree of applicability in evaluating soil inoculum efficiency. In the future, the application of this method will lead to digital maps with a high degree of accuracy. MycoPatt allows the mathematical expression of colonization patterns, being a complex model that converts biological data into statistically comparable indicators. This will further allow obtaining inferences with applicative importance and similarity spectra for the colonizing fungi and host plants.
Indexed as
Identifiers
What OpenQuestion holds
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.