Microsatellite marker development for almond breeding. Australian almond growers produce 8,000 tonnes of kernel annually, and the long term aim is to develop strong export markets. The industry funds a breeding program at Adelaide University, comprising hybridisation and selection. Through our current ARC SPIRT grant we augment this with a program in molecular techniques. Research is well-advanced in the development of a genetic map for almond based on both molecular and agronomic characters. ....Microsatellite marker development for almond breeding. Australian almond growers produce 8,000 tonnes of kernel annually, and the long term aim is to develop strong export markets. The industry funds a breeding program at Adelaide University, comprising hybridisation and selection. Through our current ARC SPIRT grant we augment this with a program in molecular techniques. Research is well-advanced in the development of a genetic map for almond based on both molecular and agronomic characters. This IREX grant will facilitate integration of our map with the International Prunus mapping program, based at Cabrils, Spain. It will also facilitate augmentation of the map with jointly-developed microsatellite markers.Read moreRead less
Using integrated frontier and smart technologies to identify new drug targets for parasites causing major diseases in humans and animals. The national/community benefits are (1) enhanced focus on animal and human health biotechnology through the development of anti-parasite compounds and/or vaccines; (2) improved and sustainable control of important parasites with decreased risk of induction of drug resistance; (3) increased profitability of agricultural animal production; (4) consolidation of a ....Using integrated frontier and smart technologies to identify new drug targets for parasites causing major diseases in humans and animals. The national/community benefits are (1) enhanced focus on animal and human health biotechnology through the development of anti-parasite compounds and/or vaccines; (2) improved and sustainable control of important parasites with decreased risk of induction of drug resistance; (3) increased profitability of agricultural animal production; (4) consolidation of a technology platform for further applications in genomics and post-genomics of pathogens of global significance and construction of a pipeline for the validation of drug targets; (5) capturing the benefits from fundamental research and strengthening links between fundamental and applied research; (6) increasing the quality and quantity of scientifically skilled people in biotechnology.Read moreRead less
Automated, smart genomic data integration for the exploration of developmentally regulated molecules in parasites of major socioeconomic importance. The national/community benefits are (1) enhanced focus on animal and human health biotechnology through the development of safe anti-parasite compounds/vaccines; (2) improved and sustainable control of key parasites with decreased risk of induction of drug resistance; (3) increased profitability of agricultural animal production; (4) consolidation o ....Automated, smart genomic data integration for the exploration of developmentally regulated molecules in parasites of major socioeconomic importance. The national/community benefits are (1) enhanced focus on animal and human health biotechnology through the development of safe anti-parasite compounds/vaccines; (2) improved and sustainable control of key parasites with decreased risk of induction of drug resistance; (3) increased profitability of agricultural animal production; (4) consolidation of a technology platform for further applications in genomics and post-genomics of pathogens of global significance and construction of a pipeline for the validation of drug targets; (5) capturing the benefits from fundamental research and strengthening links between fundamental and applied research; (6) increasing the quality and quantity of scientifically skilled people in biotechnology.Read moreRead less
Development of advanced screening protocols for the identification of genes involved in nutrient sensing and nutrient efficiency in plants. Sustainable plant production in Australia builds on the concept of stable crop yield and high crop quality at low pesticide and fertilizer input. This requires a more efficient use of the plant's own mechanisms to efficiently explore nutrient patches in soils that are usually heterogeneously distributed. The identification of nutrient sensors in plants will ....Development of advanced screening protocols for the identification of genes involved in nutrient sensing and nutrient efficiency in plants. Sustainable plant production in Australia builds on the concept of stable crop yield and high crop quality at low pesticide and fertilizer input. This requires a more efficient use of the plant's own mechanisms to efficiently explore nutrient patches in soils that are usually heterogeneously distributed. The identification of nutrient sensors in plants will not only allow a deeper understanding of how plants manage to overcome nutrient-poor growth periods but also open new possibilities for enhancing nutrient efficiency in crop plants. The increased understanding arising from this project will underpin future work to increase agricultural productivity and the quality of life for all in the Australian and international communities.Read moreRead less
Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition an ....Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition and an efficient algorithm for constructing and training NNE. Practical outcomes will include research training for early career researchers and new modelling tools for data mining, robotics and multi-agent systems. The project contributes to the national priority area of smart information use.Read moreRead less
Improving nitrogen use efficiency in crop plants: Functional analysis of high-affinity ammonium transport in plant lines altered in ammonium transport capacity. Improving nitrogen fertiliser use in crop species will benefit Australia and world agriculture by reducing nitrogen-linked environmental pollution. Nitrogen fertilisers can be leached from soils and result in the pollution of ground water, rivers, estuaries and oceans. Using model plant systems we are dissecting the genes and their encod ....Improving nitrogen use efficiency in crop plants: Functional analysis of high-affinity ammonium transport in plant lines altered in ammonium transport capacity. Improving nitrogen fertiliser use in crop species will benefit Australia and world agriculture by reducing nitrogen-linked environmental pollution. Nitrogen fertilisers can be leached from soils and result in the pollution of ground water, rivers, estuaries and oceans. Using model plant systems we are dissecting the genes and their encoded proteins responsible for ammonium nitrogen uptake into plants. Identifying the in planta function of these genes will allow new breeding approaches to specifically target genes that will improve the efficiency of ammonium uptake and lessen the reliance on the supply of nitrogen fertilizers in modern agricultural crop production.Read moreRead less
Isolation and characterization of cell signalling systems that activate or suppress apoptosis in pathogenic and symbiotic fungal:plant interactions. The key roles of programmed cell death (PCD) in plant disease are becoming apparent. This project will test the hypotheses that successful colonisation by arbuscular mycorrhizae in plant roots requires the plant to up-regulate inhibitors of PCD; that susceptibility in plants to necrotrophic fungal pathogens requires triggering of PCD; and that resis ....Isolation and characterization of cell signalling systems that activate or suppress apoptosis in pathogenic and symbiotic fungal:plant interactions. The key roles of programmed cell death (PCD) in plant disease are becoming apparent. This project will test the hypotheses that successful colonisation by arbuscular mycorrhizae in plant roots requires the plant to up-regulate inhibitors of PCD; that susceptibility in plants to necrotrophic fungal pathogens requires triggering of PCD; and that resistance is the result of activation of inhibitors of PCD. This international project will have important implications biologically and economically for control of plant disease and symbiosis, will train early career researchers in an area of international expertise and will strengthen collaboration between the US and Australian research groupRead moreRead less
Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be ....Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be the gaining of skills in research techniques, e.g., utilising a support vector machine as a classification tool, data mining techniques developed originally by the Australian partner's group, and in further developments of these techniques with specific applications to the internet web page mining problem.Read moreRead less
Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how t ....Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how these two factors affect the scores of a web page in a search engine, and hence how they affect the visibility of the page in response to a query.
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Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environm ....Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environment for large classification tasks, and Prof. Lee¡¯s work will focus in managing large amounts of data for them. Using his experience in data compression, databases and web applications, he will produce a set of tools for handling Gigabytes of textual data in our classification environment.Read moreRead less