Related Experiment Video
Updated: Sep 3, 2025

An Easy and Flexible Inoculation Method for Accurately Assessing Powdery Mildew-Infection Phenotypes of Arabidopsis and Other Plants
Published on: March 9, 2021
New Aspects of In Situ Measurements for Downy Mildew Forecasting
Melissa Kleb1, Nikolaus Merkt1, Christian Zörb1
1Institute of Crop Science, Department of Quality of Plant Products, Viticulture (340e), University of Hohenheim, Emil-Wolff-Strasse 35, 70599 Stuttgart, Germany.
Accurate downy mildew forecasting in vineyards requires precise climate data. Measuring temperature, humidity, and leaf wetness inside grape canopies, rather than just at weather stations, significantly improves forecast accuracy, potentially reducing fungicide use.
Area of Science:
- Agricultural Science
- Plant Pathology
- Viticulture
Background:
- Downy mildew is a major threat to global grape production, primarily managed with fungicides.
- Increasing regulatory and environmental pressures necessitate improved forecasting models to minimize fungicide application.
- Current forecasting relies on weather station data, which may not accurately reflect microclimatic conditions within grape canopies.
Purpose of the Study:
- To compare climatic parameters (temperature, relative humidity, leaf wetness) measured by weather stations with those recorded inside a grape canopy.
- To assess the impact of these measurement differences on the precision of downy mildew forecasting models.
- To evaluate the potential for reducing fungicide applications through enhanced forecasting accuracy.
Main Methods:
- Simultaneous measurement of temperature, relative humidity, and leaf wetness using a weather station and sensors placed inside a grape canopy.
- Statistical analysis to compare data sets and identify significant differences between the two measurement locations.
- Evaluation of the implications of these differences for established infection potential calculations (e.g., 50 h-degree).
Main Results:
- Temperature showed daytime but not nighttime differences between weather station and canopy measurements.
- Relative humidity exhibited significant differences during both day and night.
- Leaf wetness displayed the most substantial and statistically significant differences, occurring during both daytime and nighttime.
Conclusions:
- Discrepancies in climatic data between weather stations and grape canopies significantly affect the precision of downy mildew forecasting models.
- Incorporating in-canopy microclimate data into forecasting models is crucial for accurate prediction of infection risk.
- Utilizing canopy-specific data holds the potential to optimize fungicide application strategies, leading to reduced chemical use in viticulture.
More Related Videos
Related Concept Videos
Microbial Growth Measurement: Indirect Methods
Microbial Growth Measurement: Direct Methods

