drrenataretkute.bsky.social
Renata Retkute
@drrenataretkute.bsky.social
45 followers 39 following 9 posts
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · 14d
Visiting FAO to discuss modelling of locusts & transboundary plant pests and diseases. Excited to exchange ideas on strengthening global food security. 🌍🦗🌱
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Reposted by Renata Retkute
camplantsci.bsky.social
Department of Plant Sciences Cambridge @camplantsci.bsky.social · Jul 28
New climate resilience & sustainability project co-led by @drrenataretkute.bsky.social with @bioversityciat.bsky.social aims to protect banana production in Africa from crop disease.

Read more: tinyurl.com/2dutb4h2

#PlantSci 🧪
@cam.ac.uk
@cambridgebiosci.bsky.social
@camplantepidem.bsky.social
Banana seed enterprise in Rwanda. Photo credit: Dr Aman Bonaventure Omondi.
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · Jul 26
New preprint: Controlling Banana Bunchy Top Disease in Benin: crop protection strategies with socioeconomic perspectives doi.org/10.1101/2025...
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · Jul 4
New preprint: "A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm". With application to cassava brown streak disease #CBSD spread. #ParameterEstimation
arxiv.org/abs/2507.02072
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · Jun 9
Now online doi.org/10.3389/fpls...
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Reposted by Renata Retkute
camplantepidem.bsky.social
The Epidemiology & Modelling Group, Plant Sciences, Cambridge @camplantepidem.bsky.social · May 13
We celebrate a team member's success!
Renata @drrenataretkute.bsky.social has received a BBSRC Flexible Talent Mobility Award to work with the Australian Plague Locust Commission on improved forecasting & management in Australia.

@camplantsci.bsky.social @globalfoodcamb.bsky.social
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Reposted by Renata Retkute
camplantsci.bsky.social
Department of Plant Sciences Cambridge @camplantsci.bsky.social · May 12
Congratulations to @drrenataretkute.bsky.social from Cambridge Plant Sciences' Epidemiology & Modelling group!

She has received a BBSRC Flexible Talent Mobility Award to work with the Australian Plague Locust Commission on improved forecasting & management in Australia.

#PlantSciences 🧪
drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · May 10
Excited to share that i received a BBSRC Flexible Talent Mobility Award! 🎉 Over the next 6 months, I’ll be working with the Australian Plague Locust Commission to adapt desert locust models for improved forecasting & management in Australia. Big thanks to @BBSRC 🌾🦗 #PestManagement #ClimateAdaptation
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · May 10
Thanks Will!
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · May 10
Excited to share that i received a BBSRC Flexible Talent Mobility Award! 🎉 Over the next 6 months, I’ll be working with the Australian Plague Locust Commission to adapt desert locust models for improved forecasting & management in Australia. Big thanks to @BBSRC 🌾🦗 #PestManagement #ClimateAdaptation
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · Apr 23
New paper: "Evaluation of the 2022 West Nile virus forecasting challenge, USA"
parasitesandvectors.biomedcentral.com/articles/10....
Evaluation of the 2022 West Nile virus forecasting challenge, USA - Parasites & Vectors
Background West Nile virus (WNV) is the most common cause of mosquito-borne disease in the continental USA, with an average of ~1200 severe, neuroinvasive cases reported annually from 2005 to 2021 (ra...
parasitesandvectors.biomedcentral.com
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · Apr 12
New paper: Developing a spatio-temporal model for Banana Bunchy Top Disease: leveraging remote sensing and survey data www.frontiersin.org/journals/pla...
Frontiers | Developing a spatio-temporal model for Banana Bunchy Top Disease: leveraging remote sensing and survey data
Epidemics of Banana Bunchy Top Disease (BBTD) in Sub-Saharan Africa are threatening global food security and endangering the livelihoods of smallholder farme...
www.frontiersin.org
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Reposted by Renata Retkute
camplantsci.bsky.social
Department of Plant Sciences Cambridge @camplantsci.bsky.social · Apr 7
New preprint on the Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning from the Epidemiology and Modelling group at the Department of Plant Sciences, University of Cambridge.🍌 👇

doi.org/10.20944/pre...
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drrenataretkute.bsky.social
Renata Retkute @drrenataretkute.bsky.social · Apr 7
New preprint: Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning
www.preprints.org/manuscript/2...
www.preprints.org
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Reposted by Renata Retkute
camplantsci.bsky.social
Department of Plant Sciences Cambridge @camplantsci.bsky.social · Dec 23
How does a solitary insect cause riots and mass starvation? It just needs a trigger.

Scientists from @camplantsci.bsky.social & @fao.org have developed new tool to help national agencies manage huge desert locust swarms before they devastate food crops in Africa & Asia 👇

tinyurl.com/327pj2cs
Locust swarm fills the skies in Ethiopia. Credit: Keith Cressman, FAO.
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Reposted by Renata Retkute
muser.press
MUSER PRESS @muser.press · Dec 19
Predicting desert locust swarms: A new modelling framework integrates lifecycle, breeding, and movement patterns with weather data to forecast swarm behavior.
A framework for modelling desert locust population dynamics and large-scale dispersal
Author summary There is a critical need for tools that can help manage and predict the spread of transboundary pests, especially the desert locust, one of the most destructive pests for smallholder fa...
journals.plos.org
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Reposted by Renata Retkute
imthursty.bsky.social
Will Thurston @imthursty.bsky.social · Dec 19
By using concepts from epidemiological modelling, we (@camplantsci.bsky.social, @metoffice.bsky.social and @fao.org) have developed an integrated modelling framework for doing just this!

Paper (open access): journals.plos.org/ploscompbiol...

Press release: phys.org/news/2024-12...
A framework for modelling desert locust population dynamics and large-scale dispersal
Author summary There is a critical need for tools that can help manage and predict the spread of transboundary pests, especially the desert locust, one of the most destructive pests for smallholder fa...
journals.plos.org
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Reposted by Renata Retkute
imthursty.bsky.social
Will Thurston @imthursty.bsky.social · Dec 19
How do you combine simple atmospheric dispersion modelling trajectories like this with environmental data and population biology knowledge to make short- and long-term predictions of desert locust swarm migration?
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