Wiki source code of VM Blackwood

Last modified by geosens on 2025/03/18 22:24
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Andreas Gallaun 1.5 1 The VitiMeteo black wood disease tool is designed to assess the risk posed by the glassy-winged planthopper (//Hyalesthes obsoletus//), the primary vector of the Black Wood Disease. During the flight period of this insect, it is crucial to avoid controlling its host plants—bindweed (//Convolvulus arvensis//) and nettle (//Urtica dioica//). The graphs provided help users make informed decisions regarding this.
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3 This wiki will guide you on how to interpret and use the graphs effectively for managing risks. Note: This guide explains how to use the graph, not the underlying calculations. You can find images of the disease here: [[https:~~/~~/rebschutz.hs-geisenheim.de/schadbilder-wein/schadbilder.php?Auswahl=Bois>>https://rebschutz.hs-geisenheim.de/schadbilder-wein/schadbilder.php?Auswahl=Bois]]
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5 == 1. Understanding the Risk Overview Table ==
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7 [[image:1736599938525-369.png||height="64" width="362"]]
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9 === Purpose ===
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11 The Risk Overview Table shows the risk levels for //Hyalesthes obsoletus// on bindweed and nettle over an 11-day period. Key components include:
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13 * **Date Row**: Grey-highlighted cells indicate the forecast period.
14 * **Percentage Values**: Represent the risk level starting from specific dates (March 15 for bindweed and April 1 for nettle).
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16 === Key Threshold ===
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18 When the risk level reaches 100%, it is recommended to halt weed control (e.g., mowing) to prevent disturbance to host plants.
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20 === Graph Components ===
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22 1. (((
23 **Risk and Temperature Curves**
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25 * These curves depict the percentage progression of temperature sums toward the threshold values for bindweed and nettle.
26 * Once the risk curve reaches the end of the flight period, it resets to 0%.
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28 1. (((
29 **Risk Bars**
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31 * Labeled as "Risk A." for bindweed and "Risk B." for nettle.
32 * Colored bars represent the calculated risk levels, corresponding to the legend provided in the tool.
33 )))
34 1. (((
35 **Weather Data**
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37 * Shown at the bottom of the graph, this section includes:
38 ** Daily average temperature
39 ** Precipitation levels
40 ** Air humidity
41 ** Leaf wetness (displayed as raw data)
42 )))
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44 [[image:1736600489289-659.png||data-xwiki-image-style-alignment="end" height="372" width="496"]]
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46 == 3. Practical Application ==
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48 To use the graphs effectively:
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50 1. **Check the Risk Values**: Identify if the percentage for either host plant has reached 100%. If so, avoid controlling these plants.
51 1. **Analyze the Trends**: Use the risk curves to predict when the risk levels will peak or decline.
52 1. **Monitor Weather Conditions**: Assess the environmental factors like temperature and humidity, which influence the planthopper's activity and the risk progression.