Population dynamics, epidemiology and evolutionary ecology of plant pathogens and pests
Lead Research Organisation:
Rothamsted Research
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Technical Summary
This project will develop generic modelling methods applicable to the epidemiology and evolutionary ecology of plant diseases and pests. The methods will be applied to key diseases and insect herbivores in the UK and in developing countries, to provide new insight into their epidemiology, evolutionary ecology and population dynamics.
The central theme of the project is the application of parsimonious generic models to study the epidemiology of plant diseases and the population dynamics of plants and insect herbivores. The key areas are:
1. Epidemiology of plant pathogens.
The control of plant pathogens remains a high priority for growers both in the developed and the developing world. Models for plant pathogen epidemiology can help develop and optimise disease control methods. Main projects in this area will be:
a) Invasive plant pathogens: detection and control
b) Disease control using crop resistance and fungicides
2. Evolutionary ecology.
Any method of disease control inevitably imposes a selection pressure on the pathogen. This can cause the pathogen to evolve strains that are less prone to the control method. Models of these evolutionary processes can help define disease control methods that put a minimal selection pressure on the pathogen to evolve more harmful strains. Main projects in this area will be
a) Plant resistance and evolution within plant viruses.
b) Disease complexes determine the evolution of plant pathogen virulence.
3. Molecular mechanisms leading to phenotypes of plant defence mechanisms.
The mapping from genotype/molecular-interaction to the phenotype of a plant pathogen needs to be underpinned by a definition of the life-history components that constitute the relevant phenotypic characteristics for its epidemiology and evolutionary ecology e.g. resistance to a plant virus can be expressed through (i) reduced acquisition, (ii) reduced virus titre, (iii) reduced symptom expression.
The central theme of the project is the application of parsimonious generic models to study the epidemiology of plant diseases and the population dynamics of plants and insect herbivores. The key areas are:
1. Epidemiology of plant pathogens.
The control of plant pathogens remains a high priority for growers both in the developed and the developing world. Models for plant pathogen epidemiology can help develop and optimise disease control methods. Main projects in this area will be:
a) Invasive plant pathogens: detection and control
b) Disease control using crop resistance and fungicides
2. Evolutionary ecology.
Any method of disease control inevitably imposes a selection pressure on the pathogen. This can cause the pathogen to evolve strains that are less prone to the control method. Models of these evolutionary processes can help define disease control methods that put a minimal selection pressure on the pathogen to evolve more harmful strains. Main projects in this area will be
a) Plant resistance and evolution within plant viruses.
b) Disease complexes determine the evolution of plant pathogen virulence.
3. Molecular mechanisms leading to phenotypes of plant defence mechanisms.
The mapping from genotype/molecular-interaction to the phenotype of a plant pathogen needs to be underpinned by a definition of the life-history components that constitute the relevant phenotypic characteristics for its epidemiology and evolutionary ecology e.g. resistance to a plant virus can be expressed through (i) reduced acquisition, (ii) reduced virus titre, (iii) reduced symptom expression.
Planned Impact
unavailable
Organisations
People |
ORCID iD |
| Frank Van Den Bosch (Principal Investigator) |
Publications
Bock C
(2009)
The Horsfall-Barratt scale and severity estimates of citrus canker
in European Journal of Plant Pathology
Cunniffe NJ
(2012)
Time-dependent infectivity and flexible latent and infectious periods in compartmental models of plant disease.
in Phytopathology
Demon I
(2011)
Spatial sampling to detect an invasive pathogen outside of an eradication zone.
in Phytopathology
Gonzalez-Diaz Lucia
(2012)
Controlling annual weeds in cereals by deploying crop rotation at the landscape scale:
Avena sterilis as an example
in ECOLOGICAL APPLICATIONS
Hobbelen P.
(2012)
The effect of the dose rate of a fungicide on the emergence of resistance
in PHYTOPATHOLOGY
Hobbelen P. H.
(2010)
The usefulness of mixtures of a single-site and a multi-site fungicide as resistance management strategy
in PHYTOPATHOLOGY
Hobbelen P. H.
(2010)
Derivation and validation of a model to predict selection for fungicide resistance
in PHYTOPATHOLOGY
Hobbelen P. H.
(2012)
The usefulness of concurrent, alternating, and mixture use of two high-risk fungicides as resistance management strategy
in PHYTOPATHOLOGY
Hobbelen P. H.
(2010)
The usefulness of mixtures of a single-site and a multi-site fungicide as resistance management strategy
in PHYTOPATHOLOGY
Hobbelen PH
(2011)
Delaying selection for fungicide insensitivity by mixing fungicides at a low and high risk of resistance development: a modeling analysis.
in Phytopathology
| Description | Key question is how heterogeneous host distributions affect the epidemiology of plant pathogens (both crop and natural vegetation). This work has led to the development of spatially explicit stochastic models to study the emergence of new pathogens and strains of endemic pathogens. We also develop sampling and monitoring methods as well as control methods for emerging pathogens. These methods are at this moment routinely used by the FERA led, DEFRA funded, Sudden Oak Death control programme, and by USDA in the design of sampling and mapping plans for diseases of citrus. |
| Exploitation Route | We are providing DEFRA's team working on Acute Oak Decline with sampling plans. Aim is to develop a map of the occurrence and severity of Acute Oak Decline in England and Wales. - We have recently advised DEFRA's Ash Dieback Science Policy Team on su |
| Sectors | Agriculture Food and Drink |
| Description | Policy (CRD, FRAC, FRAG, EPPO) and industry are now using our findings to guide fungicide resistance management strategies. |
| First Year Of Impact | 2008 |
| Sector | Agriculture, Food and Drink |
| Impact Types | Economic |
| Description | A generic survey method for the detection of plant disease in agricultural and urban populations for immediate regulatory intervention/decision making. |
| Amount | £478,000 (GBP) |
| Organisation | U.S. Department of Agriculture USDA |
| Sector | Public |
| Country | United States |
| Start | 08/2007 |
| End | 09/2014 |
| Description | A generic survey method for the detection of plant disease in agricultural and urban populations for immediate regulatory intervention/decision making. |
| Amount | £478,000 (GBP) |
| Organisation | U.S. Department of Agriculture USDA |
| Department | Grand Forks Human Nutrition Research Center |
| Sector | Academic/University |
| Country | United States |
| Start | 03/2007 |
| End | 12/2014 |
| Description | Epidemiological modelling to inform management strategies for sudden oak death in England and Wales. |
| Amount | £339,565 (GBP) |
| Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2010 |
| End | 04/2013 |
| Description | Epidemiological modelling to inform management strategies for sudden oak death in England and Wales. |
| Amount | £339,000 (GBP) |
| Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2007 |
| End | 04/2010 |
| Description | Epidemiological modelling to inform strategies for: (i) detection, management and inoculum reduction of wheat stem rust, (ii) monitoring and management of current and emerging cassava virus strains. |
| Amount | £730,000 (GBP) |
| Organisation | Bill and Melinda Gates Foundation |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 08/2012 |
| End | 12/2018 |