Phytopathology (2017) 107, 1095-1108

From Pestinfo-Wiki
Jump to: navigation, search
IPMimage5384842.jpgSelected publication
you are invited to contribute to
the discussion section (above tab)
Frank M. Hilker, Linda J.S. Allen, Vrushali A. Bokil, Cheryl J. Briggs, Zhilan Feng, Karen A. Garrett, Louis J. Gross, Frédéric M. Hamelin, Michael J. Jeger, Carrie A. Manore, Alison G. Power, Margaret G. Redinbaugh, Megan A. Rúa and Nik J. Cunniffe (2017)
Modeling virus coinfection to inform management of maize lethal necrosis in Kenya
Phytopathology 107 (10), 1095-1108
Abstract: Maize lethal necrosis (MLN) has emerged as a serious threat to food security in sub-Saharan Africa. MLN is caused by coinfection with two viruses, Maize chlorotic mottle virus and a potyvirus, often Sugarcane mosaic virus. To better understand the dynamics of MLN and to provide insight into disease management, we modeled the spread of the viruses causing MLN within and between growing seasons. The model allows for transmission via vectors, soil, and seed, as well as exogenous sources of infection. Following model parameterization, we predict how management affects disease prevalence and crop performance over multiple seasons. Resource-rich farmers with large holdings can achieve good control by combining clean seed and insect control. However, crop rotation is often required to effect full control. Resource-poor farmers with smaller holdings must rely on rotation and roguing, and achieve more limited control. For both types of farmer, unless management is synchronized over large areas, exogenous sources of infection can thwart control. As well as providing practical guidance, our modeling framework is potentially informative for other cropping systems in which coinfection has devastating effects. Our work also emphasizes how mathematical modeling can inform management of an emerging disease even when epidemiological information remains scanty.
(The abstract is excluded from the Creative Commons licence and has been copied with permission by the publisher.)
Full text of article


Database assignments for author(s): Margaret G. Redinbaugh, Karen A. Garrett

Research topic(s) for pests/diseases/weeds:
population dynamics/ epidemiology
thresholds/decision-support systems


Pest and/or beneficial records:

Beneficial Pest/Disease/Weed Crop/Product Country Quarant.
Sugarcane mosaic virus Maize/corn (Zea mays) Kenya
Machlomovirus zeae Maize/corn (Zea mays) Kenya