964 resultados para Forestry pest


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Investigations into pheromone monitoring and efficacy of insecticides to improve Integrated Pest Management (IPM) of eggfruit caterpillar.

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The aim is to improve the understanding of pest system and its management within brassica crops.

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This final report ‘Development and promotion of IPM strategies for silverleaf whitefly in vegetables’ summarises the research and extension into development and implementation of IPM programs for silverleaf whitefly in vegetables. Chemical and biologicontrol for Silverleaf Whitefly in pumpkin, brassica, bean and sweet potatoes.

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This project will incorporate two strategies for improving industry sustainability in the Philippines and Australia: (a) developing improved field management and quarantine monitoring and detection of mango pests and diseases; and (b) working with selected mango supply chains to identify and test areas for improvement.

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The major objective is to produce an educational tool for growers and research/extension personnel to allow accurate identification of a range of pests and diseases encountered in herbs. To a lessor extent develop both a mechanism to manage beneficial insects in field crops pre-harvest and to identify some common seed borne diseases in herbs.

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A contingency plan for exotic Liriomyza leafminers.

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Molecular marker development for tropical fruit and forestry species.

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Regional implementation of Integrated Pest Management (IPM) in Bundaberg production horticulture providing a unified approach to pest and disease control on an area-wide basis. This is aimed at reducing chemical dependency, increasing sustainability, profitability and enhancing biodiversity through detailed investigations, technology application, coordination, monitoring, communication and education.

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Management of fruit quality and pest infestations of mango and mangosteen for Market access requirements.

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Resolving nutritional impediments to expansion and growth of teak plantations in Queensland.

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This project aims to address the growing need for a coordinated approach to research into the biological control of Australian eucalypt insect pests by scoping the formation of a Centre in Australia which would (a) coordinate the evaluation and provision of biological control agents (initially to South Africa and Brazil, but in future years more widely), (b) research the role natural enemies play in pest population regulation in Australian eucalypt plantations and how this may be enhanced as a management tool, and (c) form a network focussed on forest biosecurity with an emphasis on eucalypt pests and pathogens.

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Develop a remote-sensing system that can identify canegrub infestations and provide early- warning to growers via the internet.

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Early detection surveillance programs aim to find invasions of exotic plant pests and diseases before they are too widespread to eradicate. However, the value of these programs can be difficult to justify when no positive detections are made. To demonstrate the value of pest absence information provided by these programs, we use a hierarchical Bayesian framework to model estimates of incursion extent with and without surveillance. A model for the latent invasion process provides the baseline against which surveillance data are assessed. Ecological knowledge and pest management criteria are introduced into the model using informative priors for invasion parameters. Observation models assimilate information from spatio-temporal presence/absence data to accommodate imperfect detection and generate posterior estimates of pest extent. When applied to an early detection program operating in Queensland, Australia, the framework demonstrates that this typical surveillance regime provides a modest reduction in the estimate that a surveyed district is infested. More importantly, the model suggests that early detection surveillance programs can provide a dramatic reduction in the putative area of incursion and therefore offer a substantial benefit to incursion management. By mapping spatial estimates of the point probability of infestation, the model identifies where future surveillance resources can be most effectively deployed.

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Hierarchical Bayesian models can assimilate surveillance and ecological information to estimate both invasion extent and model parameters for invading plant pests spread by people. A reliability analysis framework that can accommodate multiple dispersal modes is developed to estimate human-mediated dispersal parameters for an invasive species. Uncertainty in the observation process is modelled by accounting for local natural spread and population growth within spatial units. Broad scale incursion dynamics are based on a mechanistic gravity model with a Weibull distribution modification to incorporate a local pest build-up phase. The model uses Markov chain Monte Carlo simulations to infer the probability of colonisation times for discrete spatial units and to estimate connectivity parameters between these units. The hierarchical Bayesian model with observational and ecological components is applied to a surveillance dataset for a spiralling whitefly (Aleurodicus dispersus) invasion in Queensland, Australia. The model structure provides a useful application that draws on surveillance data and ecological knowledge that can be used to manage the risk of pest movement.

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Current biosecurity arrangements for plantation forestry are poorly defined, at least relative to other plant-based industries. Serious pest and disease outbreaks in forestry are relatively rare events. Preparedness for rare events is difficult. Part of the difficulty stems from the competing views of managers and stakeholders. This project sought to directly capture alternative views concerning the key objectives of plantation forest biosecurity, alternative strategies for achieving those objectives, and ultimately recommend preferred actions that might be broadly supported by stakeholders. The outcomes from the workshop were used as a basis to draft a list of strategic actions required to improve forest biosecurity in Australia and to be implemented over the next 2-5 years. Research priorities were identified as research to support cost benefit analyses; investigating the effects of changed environmental conditions on forest biosecurity; pathway analysis for functional pest guilds. Integration of this research within a CRC would also permit the effective development and extension of this research as well as providing training urgently required to maintain forest biosecurity and health expertise.