We develop epidemiological models to predict the spread of plant diseases and pests and optimise management strategies.
A group member of @camplantsci.bsky.social
https://gilligan-lab.org/
The Epidemiology & Modelling Group, Plant Sciences, Cambridge
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Excited to share Renata's new study in @plantspeopleplanet.bsky.social on #banana bunchy top virus in West Africa! 🍌🛰️📊
Led by @drrenataretkute.bsky.social with collaborators across Benin 🇧🇯 IITA and University of Queensland
#PlantHealth #FoodSecurity #Epidemiology
Looking to understand, predict, and manage viral disease epidemics in crops like #cassava?🌱🦠📊 Check out the blog post introducing tools from Ruairí and Israël.
#Ecology #PlantEpidemiology #InsectVectors
@methodsinecoevol.bsky.social @camplantsci.bsky.social #UMR-IGEPP
methodsblog.com/2026/02/21/m...
The dynamics of agricultural pests: leveraging data from genome to landscapes 🌱🪲🐛🪰
Hear from @drrenataretkute.bsky.social and Dr Henry North this Friday.
#FoodSecurity #CropProtection
Now published: Evaluating a landscape-scale model to forecast wheat stem rust
with @metoffice.gov.uk @cimmyt.bsky.social and #EIAR 🇪🇹
Funded by @gatesfoundation.bsky.social #FCDO
doi.org/10.1088/1748...
Our wheat rust forecast tool is part of #DEWAS 🌾
Surveillance + diagnostics + forecasting + training = transnational rust response
Protecting wheat across 8+ countries in Africa & South Asia
Watch: youtube.com/watch?v=OGdE...
@cimmyt.bsky.social @johninnescentre.bsky.social
#PlantSci #FoodSecurity
How to predict and prevent #cassava viral epidemics? 🌱 💻 Ruairi Donnelly & Israël Tankam Chedjou developed tools to model disease spread and optimise crop mixtures for this vital #FoodSecurity crop.
www.plantsci.cam.ac.uk/news/managin...
@camplantsci.bsky.social #UMR-IGEPP
#CropProtection
The Epidemiology & Modelling Group, Plant Sciences, Cambridge
Cost-effective early detection of banana bunchy top disease: insights from spatio-temporal modelling in Benin https://www.biorxiv.org/content/10.64898/2026.01.09.698707v1
Could the way we arrange crops boost future food security?
New work from @camplantepidem.bsky.social looks at how crop layout in landscapes can dramatically slow plant disease spread without relying on chemicals or costly interventions.
tinyurl.com/353tb8jw
@suprunenkoyf.bsky.social @cam.ac.uk
The Epidemiology & Modelling Group, Plant Sciences, Cambridge
The Epidemiology & Modelling Group, Plant Sciences, Cambridge
The Epidemiology & Modelling Group, Plant Sciences, Cambridge
The Epidemiology & Modelling Group, Plant Sciences, Cambridge
The Epidemiology & Modelling Group, Plant Sciences, Cambridge
John Innes Centre
How can farmers use models to prevent wheat disease?
Watch the video from @camplantepidem.bsky.social to see how subsistence farmers across Africa & South Asia can use forecasting models to protect their crops.
📽️ tinyurl.com/3yecskf4
Funded by @cambridgefestival.bsky.social 🙏
🧪#PlantSci
bioRxiv Plant Bio
Department of Plant Sciences Cambridge
Department of Plant Sciences Cambridge
Post provided by Ruairí Donnelly, Israël Tankam, and Alison Scott-Brown Here in the Epidemiology and Modelling Group at the University of Cambridge, our work is driven by the need to secure food su…
A team at the University of Cambridge have developed new tools to predict disease risk in cassava and help protect a vital food security crop in sub-Saharan Africa.
