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Co-authors

Nik CunniffeDepartment of Plant Sciences, University of CambridgeVerified email at cam.ac.uk
Robert A. Van GorderDepartment of Mathematics and Statistics, University of OtagoVerified email at otago.ac.nz
Andrew KrauseDurham UniversityVerified email at durham.ac.uk

Nick P Taylor

Nick P Taylor

University of Cambridge

Verified email at cam.ac.uk - Homepage

Mathematical modelling Evolutionary dynamics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Epidemiological and ecological consequences of virus manipulation of host and vector in plant virus transmission NJ Cunniffe, NP Taylor, FM Hamelin, MJ Jeger PLOS Computational Biology 17 (12), e1009759, 2021	23	2021
A non-local cross-diffusion model of population dynamics I: emergent spatial and spatiotemporal patterns NP Taylor, H Kim, AL Krause, RA Van Gorder Bulletin of Mathematical Biology 82, 1-40, 2020	18	2020
Optimal resistance management for mixtures of high-risk fungicides: robustness to the initial frequency of resistance and pathogen sexual reproduction NP Taylor, NJ Cunniffe Phytopathology® 113 (1), 55-69, 2023	12	2023
Modelling quantitative fungicide resistance and breakdown of resistant cultivars: designing integrated disease management strategies for Septoria of winter wheat NP Taylor, NJ Cunniffe PLOS Computational Biology 19 (3), e1010969, 2023	10	2023
Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative NP Taylor, NJ Cunniffe Journal of the Royal Society Interface 20 (201), 20220685, 2023		2023
Optimising fungicide application tactics: using mathematical modelling to understand qualitative and quantitative fungicide resistance management N Taylor		2023

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