Publications by authors named "I Sache"

Deploying disease-resistant cultivars is one of the most effective control strategies to manage crop diseases such as wheat leaf rust, caused by Puccinia triticina. After harvest, this biotrophic fungal pathogen can survive on wheat volunteers present at landscape scale and constitute a local source of primary inoculum for the next cropping season. In this study, we characterised the diversity of P.

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Article Synopsis
  • IPSIM (Injury Profile Simulator) is a qualitative platform designed for creating hierarchical network models to assess the risk of pest-related injuries on crops, factoring in data about farming practices, weather, and soil conditions.* -
  • The platform allows users to merge various data sources and expert insights to create predictive models, as demonstrated by the new IPSIM-Wheat-brown rust module, which analyzed 1,788 disease observations over 15 years with an accuracy of 85%.* -
  • While the model aids farmers in making timely decisions and diagnosing diseases, it does have limitations such as low precision, but also offers benefits like flexibility, transparency, and ease of use.*
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The efficiency of plant resistance to fungal pathogen populations is expected to decrease over time, due to their evolution with an increase in the frequency of virulent or highly aggressive strains. This dynamics may differ depending on the scale investigated (annual or pluriannual), particularly for annual crop pathogens with both sexual and asexual reproduction cycles. We assessed this time-scale effect, by comparing aggressiveness changes in a local population over an 8-month cropping season and a 6-year period of wheat monoculture.

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The structure of pathogen populations is an important driver of epidemics affecting crops and natural plant communities. Comparing the composition of two pathogen populations consisting of assemblages of genotypes or phenotypes is a crucial, recurrent question encountered in many studies in plant disease epidemiology. Determining whether there is a significant difference between two sets of proportions is also a generic question for numerous biological fields.

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In a cross-infection experiment, we investigated how seasonal changes can affect adaptation patterns in a Zymoseptoria tritici population. The fitness of isolates sampled on wheat leaves at the beginning and at the end of a field epidemic was assessed under environmental conditions (temperature and host stage) to which the local pathogen population was successively exposed. Isolates of the final population were more aggressive, and showed greater sporulation intensity under winter conditions and a shorter latency period (earlier sporulation) under spring conditions, than isolates of the initial population.

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