Facstheet CPO-model for yellow rust in wheat

The CPO yellow rust model is recommending treatments in wheat when thresholds are exceeded. The risk of attack is based on visual monitoring using frequency of plants attacked. The disease observation is the percentage of plants showing any infection. For example, if 25 plants out of 100 show even a very small amount of disease and the remaining 75 plants are completely healthy, then the observation is 25%. In susceptible cultivars treatments are recommended at lower incidence levels than in resistant cultivars. If treatments are recommended specific fungicides known to be effective against wheat yellow rust should be chosen. When running the yellow rust model the risk for yield losses from other diseases is not considered. If no action is recommended it is advised to revisit the crop after approximately one week to make a new evaluation of the risk. To obtain accurate risk predictions it is essential to click on the ‘Edit parameters’ button and enter information on the cultivar ’s susceptibility to yellow rust. Only two categories are used susceptible and resistant. If a cultivar is categorised as partly resistant, it is recommended to consider it as susceptible. The model does not automatically adjust the risk for the effect of previous fungicide sprays. If a fungicide effective against yellow rust has been applied within the previous ten days, the risk can be interpreted as low. Created by Aarhus University and SEGES and released in Denmark in 2000. The whole CPO model has been tested in the Nordic and Baltic countries previously, but this might not have included testing of the specific yellow rust part. This model may be of use in other countries in Northern Europe, it is important to first test in practice before using the DSS for decision support.

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Detail příspěvku

Umístění
  • Europe
  • Denmark
Autoři
  • L. Langner
Účel
  • Decision-making support
Typ souboru
Document
Velikost souboru
715 kB
Vytvořeno dne
11-04-2024
Jazyk původu
English
Oficiální webové stránky projektu
IPM Decisions
Licence
CC BY

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