Banana Plant Protection Program

Developing a National Banana Plant Protection Program four key strategic areas have been identified which each address a number of key strategic objectives. Taken together they address the key strategic objectives as outlined in the strategic plan. The four key strategic areas of the Plant Protection Program are: 1. Resistant Varieties and Consumer Choice; 2. Safeguarding Production and Markets; 3. Sustainable Production Systems; 4. Building Science and Communication.

Controlling plant and fruit diseases in strawberry fields

Grey mould, powdery mildew and stem-end rot are major diseases affecting the strawberry industry. Some of the chemicals used are ineffective under wet weather, have limits to the number of applications allowed in a season or may become ineffective in the long-term because of the development of resistance in the fungi. We will assess the effectiveness of the chemicals currently used by the strawberry industry and whether the fruit rot fungi are resistant to these fungicides. We will screen other chemicals that are used to control these diseases in related crops. We will also evaluate new chemicals in collaboration with the crop protectant industry. We will also undertake similar work to control nematodes in strawberry fields.

CRC27012 A National Diagnostic Database for Emergency Plant Pests

Development of a national diagnostic database for Emergency Plant Pests which will be web-accessible.

Soil Micro Testing

Soil Micro Testing for nematodes on grain farms.

Beneficial microbial inoculants for agriculturally important crops

Survey of rhizobium inoculation methods used in chickpeas of the northern grains region with aim to adopt technologies for future microbial inoculants.

Innovative management of herbicide resistant weeds - seed banks and soil biology

The project will evaluate seed bank depletion of key northern herbicide resistant weeds under different environments, cropping systems, crop agronomies and non-chemical control tactics. The project will also evaluate soil biology and seed bank relationships to explain differences in seed bank persistence.

CRC40142 Defining the plant pathogen risk posed by international travellers

This project will define the plant pathogen incursion risk posed by people returning from overseas and interstate travel. This will be achieved through the development of technically sound sample/survey methodologies. The project will initially focus on cereal rusts. An assessment of the current level of human mediated rust entries into Australia will be determined through the sampling of travellers who have been known to have visited grain production regions overseas.

Post Entry Plant Quarantine

The seeds of the majority of commercial crops must be grown for one generation in post-entry plant quarantine on arrival in Australia. Live plants and cuttings must also undergo quarantine screening on arrival, and spend a minimum of three months in quarantine.

Facilitating IPM adoption in northern region broadacre farming systems

The principal aim of the project was to contribute to the continuing adoption of integrated pest management (IPM) by grain growers in the GRDC's northern region, specifically, the Darling Downs and Central Queensland. This project provided an ongoing commitment to the development and refinement of pest management tactics, and continued support for the grower community by raising awareness of management options and strategies for their implementation. This outcome was achieved through facilitated learning by growers and their advisers via grower group meetings, field day demonstrations, technical literature and presentations by entomologists at technical forums.

205-14 A Monograph of the plant-infecting members of the Order Clavicipitales in

Taxonomic revision of ergots and related fungi in Australia.

Hierarchical Bayesian modelling of early detection surveillance for plant pest invasions

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.

Hierarchical Bayesian modelling of plant pest invasions with human-mediated dispersal

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.

Isohydric and anisohydric characterisation of vegetable crops. The classification of vegetables by their physiological responses to water stress

Research on the physiological response of crop plants to drying soils and subsequent water stress has grouped plant behaviours as isohydric and anisohydric. Drying soil conditions, and hence declining soil and root water potentials, cause chemical signals—the most studied being abscisic acid (ABA)—and hydraulic signals to be transmitted to the leaf via xylem pathways. Researchers have attempted to allocate crops as isohydric or anisohydric. However, different cultivars within crops, and even the same cultivars grown in different environments/climates, can exhibit both response types. Nevertheless, understanding which behaviours predominate in which crops and circumstances may be beneficial. This paper describes different physiological water stress responses, attempts to classify vegetable crops according to reported water stress responses, and also discusses implications for irrigation decision-making.

Plant based monitoring for irrigation scheduling in vegetable horticulture: A case study in South Australian onions

Direct measurement of plant water status for irrigation scheduling may be more sensitive, and promote better horticultural crop quality, than indirect methods such as soil moisture monitoring. In our research project, we sought to identify instances where direct methods of plant-water status previously used in horticultural crops in Australia. We present the outcomes, suitability or obstacles for adoption by horticultural producers.

The DOOR manual for plant nurseries

In the nursery industry, generic research conducted by government institutions is often not specific enough to be highly valued and adopted by the individual operator. Operators need practical solutions to their particular problems. Such problems almost invariably involve sets of conditions common to few other enterprises. This uniqueness reflects the almost infinite variation of options available in terms of species grown, media used, fertiliser, amendments and chemicals applied and the way water is supplied. The DOOR (Do Our Own Research) method advocates a relatively unexplored way of generating new, statistically sound research information in the nursery industry. The manual aims to enhance nursery operators' understanding and skills development in the following areas: critially evaluating opportunities and problems in the nursery environment, gathering relevant information, deriving and prioritising potential solutions to problems and opportunities, becoming familiar with the scientific method employed in testing potential solutions, carrying out statistically sound aand rigorous research, and developing recommendations that flow from the research information generated. The DOOR approach has application in a number of other industries and may provide important support at a time of declining research, development and extension investment by the public sector.