Literature DB >> 21563564

Landscape heterogeneity and disease spread: experimental approaches with a plant pathogen.

Christopher C Mundt1, Kathryn E Sackett, LaRae D Wallace.   

Abstract

Understanding landscape effects on disease spread can contribute to the prediction and control of epidemic invasions. We conducted large-scale field experiments with wheat stripe rust, which is caused by a wind-dispersed rust fungus. Three landscape heterogeneity variables were altered: host frequency (mixtures of susceptible and resistant plants), host patch size (different plot sizes), and size of initial disease focus (attained by artificial inoculation). Assessments of disease prevalence at different distances from the disease foci were used to quantify effects of landscape variables. We expected that a low frequency of susceptible hosts, small host patch sizes, and small initial disease foci would reduce secondary inoculum levels and thus suppress disease spread. Low host frequency and small initial disease foci greatly reduced epidemic spread. We did not detect an effect of host patch size on disease spread, though artificial inoculations did not allow us to measure the potential for small patches to escape infection under conditions of random deposition of initial inoculum. Our results suggest that, for diseases epidemiologically similar to wheat stripe rust, epidemic invasions may be suppressed by decreasing host frequency, limiting the size of initial outbreak foci, and applying control measures soon after epidemic establishment.

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Year:  2011        PMID: 21563564     DOI: 10.1890/10-1004.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  16 in total

1.  Local dispersal of Puccinia striiformis f. sp. tritici from isolated source lesions.

Authors:  D H Farber; J Medlock; C C Mundt
Journal:  Plant Pathol       Date:  2016-06-06       Impact factor: 2.590

2.  Soil management shapes ecosystem service provision and trade-offs in agricultural landscapes.

Authors:  Giovanni Tamburini; Serena De Simone; Maurizia Sigura; Francesco Boscutti; Lorenzo Marini
Journal:  Proc Biol Sci       Date:  2016-08-31       Impact factor: 5.349

Review 3.  Durable resistance: a key to sustainable management of pathogens and pests.

Authors:  Christopher C Mundt
Journal:  Infect Genet Evol       Date:  2014-01-31       Impact factor: 3.342

4.  Spatial scaling relationships for spread of disease caused by a wind-dispersed plant pathogen.

Authors:  Christopher C Mundt; Kathryn E Sackett
Journal:  Ecosphere       Date:  2012-03-09       Impact factor: 3.171

5.  Initial epidemic area is strongly associated with the yearly extent of soybean rust spread in North America.

Authors:  Christopher C Mundt; Larae D Wallace; Tom W Allen; Clayton A Hollier; Robert C Kemerait; Edward J Sikora
Journal:  Biol Invasions       Date:  2013-07-01       Impact factor: 3.133

6.  Crop pathogen emergence and evolution in agro-ecological landscapes.

Authors:  Julien Papaïx; Jeremy J Burdon; Jiasui Zhan; Peter H Thrall
Journal:  Evol Appl       Date:  2015-03-05       Impact factor: 5.183

7.  Evolution of pathogen specialisation in a host metapopulation: joint effects of host and pathogen dispersal.

Authors:  Julien Papaïx; Jeremy J Burdon; Christian Lannou; Peter H Thrall
Journal:  PLoS Comput Biol       Date:  2014-05-22       Impact factor: 4.475

8.  Tree diversity and the role of non-host neighbour tree species in reducing fungal pathogen infestation.

Authors:  Lydia Hantsch; Steffen Bien; Stine Radatz; Uwe Braun; Harald Auge; Helge Bruelheide
Journal:  J Ecol       Date:  2014-10-24       Impact factor: 6.256

9.  Super-races are not likely to dominate a fungal population within a life time of a perennial crop plantation of cultivar mixtures: a simulation study.

Authors:  Xiangming Xu
Journal:  BMC Ecol       Date:  2012-08-03       Impact factor: 2.964

10.  Pest and disease management: why we shouldn't go against the grain.

Authors:  Peter Skelsey; Kimberly A With; Karen A Garrett
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

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