Modelling the key drivers of an aerial Phytophthora foliar disease epidemic, from the needles to the whole plant

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Modelling the key drivers of an aerial Phytophthora foliar disease epidemic, from the needles to the whole plant

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Description

Understanding the epidemiology of infectious diseases in a host population is a major challenge in forestry. Radiata pine plantations in New Zealand are impacted by a foliar disease, red needle cast (RNC), caused by Phytophthora pluvialis. This pathogen is dispersed by water splash with polycyclic infection affecting the lower part of the tree canopy. In this study, we extended an SI (Susceptible-Infectious) model presented for RNC to analyse the key epidemiological drivers. We conducted two ...

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Date created

28 May, 2019

Creator

Mireia Gomez-Gallego / Ralf Gommers / Martin Karl-Friedrich Bader / Nari Michelle Williams

URL

https://figshare.com/articles/dataset/Modelling_the_key_drivers_of_an_aerial_i_Phytophthora_i_fol...

Related subjects

pluvialis infection / detached-needle assay data / 2.5 times / detached-needle assay / epidemic outputs / Detection methods / New Zealand / Phytophthora foliar disease epidemic / polycyclic infection / incubation time / host population / lesioned needle / parameter estimates / tree canopy / assessment methods / infection peak / foliar disease / genotype / vivo inoculation / water splash / 4 days / SI / RNC epidemics / 22 dai / needle cast / pathogen death rate / qPCR detection / Radiata pine plantations / vivo inoculation data / Phytophthora pluvialis / infection rate / model / Microbiology / Biotechnology / Environmental Sciences not elsewhere classified / Ecology / Biological Sciences not elsewhere classified / Mathematical Sciences not elsewhere classified / Infectious Diseases / Plant Biology / Virology

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