Evolutionary Applications | |
Crop pathogen emergence and evolution in agro‐ecological landscapes | |
Julien Papaïx2  Jeremy J. Burdon1  Jiasui Zhan3  | |
[1] CSIRO Agriculture Flagship, Canberra, ACT, Australia;UMR 1290 BIOGER, INRA, Thiverval-Grignon, France;Fujian Key Lab of Plant Virology, Institute of Plant Virology, Fujian Agriculture and Forestry University, Fuzhou, China | |
关键词: agro‐ecological interface; landscape epidemiology; pathogen evolution; plant disease management; | |
DOI : 10.1111/eva.12251 | |
来源: Wiley | |
【 摘 要 】
Remnant areas hosting natural vegetation in agricultural landscapes can impact the disease epidemiology and evolutionary dynamics of crop pathogens. However, the potential consequences for crop diseases of the composition, the spatial configuration and the persistence time of the agro-ecological interface – the area where crops and remnant vegetation are in contact – have been poorly studied. Here, we develop a demographic–genetic simulation model to study how the spatial and temporal distribution of remnant wild vegetation patches embedded in an agricultural landscape can drive the emergence of a crop pathogen and its subsequent specialization on the crop host. We found that landscape structures that promoted larger pathogen populations on the wild host facilitated the emergence of a crop pathogen, but such landscape structures also reduced the potential for the pathogen population to adapt to the crop. In addition, the evolutionary trajectory of the pathogen population was determined by interactions between the factors describing the landscape structure and those describing the pathogen life histories. Our study contributes to a better understanding of how the shift of land-use patterns in agricultural landscapes might influence crop diseases to provide predictive tools to evaluate management practices.Abstract
【 授权许可】
CC BY
© 2015 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.
Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
【 预 览 】
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RO202107150009917ZK.pdf | 1144KB | download |