VM Rustmite

Last modified by geosens on 2025/03/18 22:21

Overview

The Rust Mite tool helps monitor the migration risk of rust mite (Calepitrimerus vitis) and blister mites (Colomerus vitis). The tool utilizes temperature data to predict activity, enabling users to time treatments effectively. This guide explains how to interpret and use the graphs to manage these vineyard pests.

1. Understanding the Risk Overview Table

Purpose

The Risk Overview Table provides data on the potential migration of rust and blister mites. Key components include:

  • Date Row: Grey-highlighted cells mark the forecast period.
  • Temperature Sum (Kelvin Days, Kd): Displays the accumulation of daily average temperatures starting from March 1.

Key Thresholds

  • 300 Kd (Yellow): Migration becomes possible.
  • Warm Days >10°C (Red): Signals active mite migration, making it the ideal time for treatment.

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2. Interpreting the Graphs

The graphs cover a three-week period:

  • Two weeks of historical data
  • The current day
  • The forecast period

Graph Components

  1. Risk and Temperature Data

    • Temperature Sum Curve: Displays the accumulated percentage of the threshold value. The curve resets to 0% when the calculation concludes.
    • Risk Bar: Represents migration risk using colors corresponding to the thresholds described in the legend.
    • Migration Start Date: Displayed on the graph if conditions for migration have been met.

  2. Weather Data

    • Includes daily averages for:
      • Temperature
      • Precipitation
      • Humidity
      • Leaf wetness is shown in blue at the bottom.

  3. Model Parameters

    • The background of the temperature sum curve is overlaid with grey bars representing accumulated daily average temperatures.
    • The graph indicates when migration conditions were first met. 

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3. Practical Application

To use the graphs effectively:

  1. Monitor Temperature Sums: Track when the 300 Kd threshold is reached and warm days (>10°C) occur.
  2. Plan Treatments: Schedule treatments during active migration (red-marked days) for maximum effectiveness.
  3. Analyze Weather Data: Assess environmental conditions to determine their impact on mite activity.