Yuen, Jonathan
- Institutionen för skoglig mykologi och växtpatologi, Sveriges lantbruksuniversitet
Sammanfattning
The study of plant disease epidemics at a landscape scale can be extended to allow for predictions about disease occurrence at this scale. Examined within the context of the disease triangle, systems developed to incorporate information primarily about the pathogen and conditions conducive to the infection process. Parametric methods can be used to relate environmental conditions to disease, and specifically relate environment to the inoculum production, the resulting infection process, or both. Aspects relating to the presence or absence of the host plant within the landscape, or patterns of the host within the landscape, are much rarer in disease prediction, although analyses incorporating these factors have been conducted. Predictive systems at the landscape scale may concentrate only on the conditions for infection or possible migratory paths of pathogen propagules. Incorporation of all components of the disease triangle may be one way to improve these systems.
Nyckelord
modeling; Bayesian decision theory; epidemiology; disease triangle
Publicerad i
Annual Review of Phytopathology
2015, volym: 53, sidor: 471-484
Utgivare: ANNUAL REVIEWS, 4139 EL CAMINO WAY, PO BOX 10139, PALO ALTO, CA 94303-0897 USA
SLU författare
Associerade SLU-program
SLU Nätverk växtskydd
UKÄ forskningsämne
Botanik
Jordbruksvetenskap
Publikationens identifierare
- DOI: https://doi.org/10.1146/annurev-phyto-080614-120406
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/76175