Learning from fungicide resistance: Evolutionary insights to guide RNAi-based control of fungal crop pathogens.
Name
1-s2.0-S1749461325000338-main.pdf
Description
visibility:open
Size
792.3 KB
Format
Adobe PDF
Checksum (CRC64NVME)
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Resource type
Journal article
Date published
August 11, 2025
Organisational unit
Science
Project(s)
Priority 2: Trait Diversity and Function
Funder
| Funder name | ISNI | Awards |
Magdalen College, University of Oxford, United Kingdom | ||
Biotechnology and Biological Sciences Research Council, United Kingdom | BB/W009935/1 “Predicting the durability and resistance risk of crop protection measures through experimental evolution of plant pathogens” - BB/Z515632/1 “Accurate, Rapid, Robust and Economical One Health DiagnoSTics for Antimicrobial Resistance” | |
UK Research and Innovation, United Kingdom | NE/X005259/1 “Understanding the eco-evolutionary drivers of emerging antifungal resistance” and MR/Y034023/1 - MR/Y034023/1 “Aerobiome based genomic surveillance of fungicide resistance to track the development and spread of AMR in plant pathogens and the wider environment” | |
Agriculture and Horticulture Development Board, United Kingdom | Grant 21120018a “Monitoring and understanding fungicide resistance development in cereal pathogens to inform disease management strategies” | |
Journal title
Fungal Biology Reviews
Volume
53
Article number
100443
Publisher
Elsevier BV
Place of publication
Amsterdam, Netherlands
ISSN
1749-4613
eISSN
1878-0253
Date accepted
August 6, 2025
Official URL
Rights statement
In Copyright
Licence
CC BY 4.0
Alternate identifier
S1749461325000338
100443
Additional information
IF = 4.6 (2024)
