Detection and elimination of resting spores of Olpidium vectoring lettuce big-vein disease in lettuce seedling nursery production. This project will devise nucleic acid and serology methods for detection of Olpidium brassicae, vector of lettuce big-vein disease (LBVD), during various phases of lettuce seedling production in nursery environments. It will be the first study to develop sustainable and environmentally responsible nursery best-practice protocols for integrated management of O. brass ....Detection and elimination of resting spores of Olpidium vectoring lettuce big-vein disease in lettuce seedling nursery production. This project will devise nucleic acid and serology methods for detection of Olpidium brassicae, vector of lettuce big-vein disease (LBVD), during various phases of lettuce seedling production in nursery environments. It will be the first study to develop sustainable and environmentally responsible nursery best-practice protocols for integrated management of O. brassicae in routine seedling production and for management within the lettuce industry. These protocols will ensure that the spread of LBVD from contaminated lettuce nurseries to farms is prevented. It will also be a unique study of the establishment of a disease in new land with different soils and agricultural practices.Read moreRead less
Predictive Models & Decision Support Systems for Virus Diseases and Aphid Vectors of Lupin and Canola. Aphids and the viruses they transmit cause major economic losses in legume and canola crops in Australia. This project will develop innovative predictive models and decision support systems (DSS's) for Beet western yellows virus and direct aphid feeding damage in canola and two types of Bean yellow mosaic virus in lupin, and a DSS for direct aphid feeding damage in lupin. These models will gr ....Predictive Models & Decision Support Systems for Virus Diseases and Aphid Vectors of Lupin and Canola. Aphids and the viruses they transmit cause major economic losses in legume and canola crops in Australia. This project will develop innovative predictive models and decision support systems (DSS's) for Beet western yellows virus and direct aphid feeding damage in canola and two types of Bean yellow mosaic virus in lupin, and a DSS for direct aphid feeding damage in lupin. These models will greatly improve understanding of factors driving virus epidemics and aphid outbreaks. Following extensive validation with data previously collected in the WA grainbelt, the predictive models and DSS's will be extended to end-users, resulting in considerable productivity gains, reduced costs and environmental benefits.Read moreRead less