Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Microbe-Plant Interactions01:09

Microbe-Plant Interactions

85
Microbe-plant interactions represent a dynamic spectrum of associations shaped by intricate chemical signaling. These interactions can be neutral, beneficial, or detrimental, and profoundly influence plant physiology, growth, and ecosystem function. The plant microbiome, comprising bacteria, fungi, archaea, protists, and viruses, plays a pivotal role in mediating these effects through surface colonization, internal colonization, or systemic symbiosis.Mutualistic associations, particularly with...
85

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Population Structure of <i>Aspergillus flavus</i> in Hazelnuts from Azerbaijan: Genetic Diversity, Clonality and Biocontrol Implications.

Plant disease·2026
Same author

Understanding Acceptance of Genome-Edited Crops and Foods: The Role of Trust, Attitudes, and Perceived Literacy in Italy.

Foods (Basel, Switzerland)·2026
Same author

Pre-harvest dynamics of <i>Aspergillus</i> section <i>Flavi</i> and aflatoxin risk in hazelnut orchards of Azerbaijan.

Frontiers in plant science·2026
Same author

Plant oxylipins: adaptation to environmental stresses and impact on mycotoxin contamination.

Frontiers in plant science·2026
Same author

Effect of Post-Harvest Management on <i>Aspergillus flavus</i> Growth and Aflatoxin Contamination of Stored Hazelnuts.

Toxins·2026
Same author

Modeling Temperature Requirements for Growth and Toxin Production of <i>Alternaria</i> spp. Associated with Tomato.

Toxins·2025

Related Experiment Video

Updated: Apr 14, 2026

Tomato Root Transformation Followed by Inoculation with Ralstonia Solanacearum for Straightforward Genetic Analysis of Bacterial Wilt Disease
09:05

Tomato Root Transformation Followed by Inoculation with Ralstonia Solanacearum for Straightforward Genetic Analysis of Bacterial Wilt Disease

Published on: March 11, 2020

12.9K

ALT-tomato: a process-based model for Alternaria disease complex addressing mycotoxin risk.

Irene Salotti1,2, Marco Camardo Leggieri1,2, Paola Battilani1,2

  • 1Department of Sustainable Crop Production (DI.PRO.VES.), Universitá Cattolica del Sacro Cuore, Piacenza, Italy.

Frontiers in Plant Science
|April 13, 2026
PubMed
Summary
This summary is machine-generated.

A new model predicts Alternaria disease epidemics and mycotoxin contamination in tomatoes by analyzing environmental factors. This tool aids in managing tomato crop health and food safety risks associated with Alternaria species.

Keywords:
botanical epidemiologybrown spotdisease modelingearly blightmodel validationsystem analysis

More Related Videos

Author Spotlight: Advancing Stomatal Research with Automated Aperture Measurement
05:03

Author Spotlight: Advancing Stomatal Research with Automated Aperture Measurement

Published on: February 9, 2024

2.5K
High-Throughput Identification of Resistance to Pseudomonas syringae pv. Tomato in Tomato using Seedling Flood Assay
06:41

High-Throughput Identification of Resistance to Pseudomonas syringae pv. Tomato in Tomato using Seedling Flood Assay

Published on: March 10, 2020

10.4K

Related Experiment Videos

Last Updated: Apr 14, 2026

Tomato Root Transformation Followed by Inoculation with Ralstonia Solanacearum for Straightforward Genetic Analysis of Bacterial Wilt Disease
09:05

Tomato Root Transformation Followed by Inoculation with Ralstonia Solanacearum for Straightforward Genetic Analysis of Bacterial Wilt Disease

Published on: March 11, 2020

12.9K
Author Spotlight: Advancing Stomatal Research with Automated Aperture Measurement
05:03

Author Spotlight: Advancing Stomatal Research with Automated Aperture Measurement

Published on: February 9, 2024

2.5K
High-Throughput Identification of Resistance to Pseudomonas syringae pv. Tomato in Tomato using Seedling Flood Assay
06:41

High-Throughput Identification of Resistance to Pseudomonas syringae pv. Tomato in Tomato using Seedling Flood Assay

Published on: March 10, 2020

10.4K

Area of Science:

  • Plant Pathology
  • Agricultural Science
  • Food Safety

Background:

  • The Alternaria disease complex poses significant threats to tomato production and human health due to multiple species and mycotoxin co-occurrence.
  • Predictive tools are crucial for food security and mitigating food safety risks associated with plant diseases.

Purpose of the Study:

  • To synthesize knowledge on Alternaria species affecting tomatoes.
  • To develop a mechanistic, weather-driven model for predicting Alternaria epidemics and mycotoxin contamination in tomatoes.

Main Methods:

  • A systematic literature review compiled data on Alternaria spp. ecology, biology, epidemiology, and mycotoxin production.
  • A mechanistic model was developed with compartments for conidia production, dispersal, infection, symptom development, and mycotoxin accumulation.
  • Model parameterization was performed for A. alternata, A. solani, and A. tenuissima.

Main Results:

  • The model accurately predicted Alternaria epidemics across diverse geographic locations (Italy, India, Canada).
  • Validation showed high concordance (CCC = 0.98) and low prediction error (RMSE = 0.069) between predicted and observed outcomes.
  • The framework effectively captures the complexity of the Alternaria-tomato pathosystem.

Conclusions:

  • The developed model provides a basis for informed and sustainable disease management strategies in tomato cultivation.
  • Further validation is needed to confirm its applicability for mycotoxin risk management.
  • This research contributes to enhancing food security and safety in tomato cropping systems.