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

You might also read

Related Articles

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

Sort by
Same author

Histopathology of Rhizoctonia root and crown rot of sugar beet reveals differential responses in susceptible and resistant cultivars to invasion by Rhizoctonia solani AG 2-2.

Annals of botany·2026
Same author

Negative impacts of <i>Phytophthora nicotianae</i> race 1 on highly resistant tobacco variety KT215LC in the greenhouse.

Plant disease·2026
Same author

Role of Infested Seed as Primary Inoculum for Cercospora Leaf Spot in Table Beet.

Plant disease·2025
Same author

Cercospora Leaf Spot Impacts on Postharvest Disease and Respiration of Affected Sugarbeet Roots.

Plant disease·2024
Same author

Influence of Fungicide Application on Rhizosphere Microbiota Structure and Microbial Secreted Enzymes in Diverse Cannabinoid-Rich Hemp Cultivars.

International journal of molecular sciences·2024
Same author

Nighttime Applications of Germicidal UV Light to Suppress Cercospora Leaf Spot in Table Beet.

Plant disease·2024

Related Experiment Video

Updated: Dec 22, 2025

Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products
06:47

Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products

Published on: December 5, 2020

7.1K

Optimizing Cercospora Leaf Spot Control in Table Beet Using Action Thresholds and Disease Forecasting.

Sarah J Pethybridge1, Sandeep Sharma1, Zachariah Hansen2

  • 1Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell AgriTech, Cornell University, Geneva, NY 14456, U.S.A.

Plant Disease
|May 2, 2020
PubMed
Summary
This summary is machine-generated.

Scheduling fungicide applications for Cercospora leaf spot (CLS) based on weather risk, rather than a calendar, can significantly reduce sprays without impacting table beet disease control. This optimizes fungicide use for effective disease management.

Keywords:
disease managementfungivegetables

More Related Videos

A Technique to Screen American Beech for Resistance to the Beech Scale Insect Cryptococcus fagisuga Lind.
12:47

A Technique to Screen American Beech for Resistance to the Beech Scale Insect Cryptococcus fagisuga Lind.

Published on: May 27, 2014

10.0K
Protocols for Robust Herbicide Resistance Testing in Different Weed Species
10:52

Protocols for Robust Herbicide Resistance Testing in Different Weed Species

Published on: July 2, 2015

15.0K

Related Experiment Videos

Last Updated: Dec 22, 2025

Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products
06:47

Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products

Published on: December 5, 2020

7.1K
A Technique to Screen American Beech for Resistance to the Beech Scale Insect Cryptococcus fagisuga Lind.
12:47

A Technique to Screen American Beech for Resistance to the Beech Scale Insect Cryptococcus fagisuga Lind.

Published on: May 27, 2014

10.0K
Protocols for Robust Herbicide Resistance Testing in Different Weed Species
10:52

Protocols for Robust Herbicide Resistance Testing in Different Weed Species

Published on: July 2, 2015

15.0K

Area of Science:

  • Plant Pathology
  • Agricultural Science
  • Fungal Disease Management

Background:

  • Cercospora leaf spot (CLS), caused by *Cercospora beticola*, is a major foliar disease impacting table beet production.
  • Uncontrolled CLS leads to rapid defoliation, crucial for harvest in broad-acre farming.
  • Current fungicide applications rely on a fixed action threshold and calendar scheduling, potentially leading to overuse.

Purpose of the Study:

  • To evaluate the efficacy of current fungicides and action thresholds for CLS control.
  • To assess the utility of weather-based risk scheduling versus calendar applications for fungicides.
  • To determine optimal risk thresholds for specific fungicide combinations.

Main Methods:

  • Two replicated field trials assessed fungicides initiated at the 1 CLS lesion/leaf threshold.
  • Six replicated field trials compared weather-based risk scheduling (moderate and high thresholds) with calendar applications.
  • Fungicide efficacy and spray frequency were recorded.

Main Results:

  • Pydiflumetofen + difenoconazole and propiconazole demonstrated significant CLS control.
  • Weather-based scheduling with pydiflumetofen + difenoconazole reduced applications from three to two without compromising control.
  • Propiconazole with a moderate risk threshold achieved equivalent control to calendar applications, saving one spray.

Conclusions:

  • Scheduling fungicide applications based on weather-based risk significantly reduces spray frequency for CLS management in table beets.
  • Optimal risk thresholds vary by fungicide, with high risk for pydiflumetofen + difenoconazole and moderate for propiconazole.
  • This approach offers substantial scope for reduced fungicide applications while maintaining effective disease control.