Development Of Technical And Extension Material To Support Murray Cod Aquaculture Industry Expansion In Australia
Funder
Fisheries Research and Development Corporation
Summary
The 5 July 2017 meeting of representatives from the various States involved in the Murray Cod industry agreed to three key R&D priorities to support expansion of the Murray Cod industry in Australia. They included:
1. Development of a farm management plan/manual to: provide advice on optimising production systems and water quality; review and update of existing Murray Cod culture guidelines using recent relevant publications and input from commercial operators; and identify any informa ....The 5 July 2017 meeting of representatives from the various States involved in the Murray Cod industry agreed to three key R&D priorities to support expansion of the Murray Cod industry in Australia. They included:
1. Development of a farm management plan/manual to: provide advice on optimising production systems and water quality; review and update of existing Murray Cod culture guidelines using recent relevant publications and input from commercial operators; and identify any information gaps 2. Off Flavour. Review of recent publications/work from other sectors (eg Barramundi) to prevent off flavor in Murray Cod. Murray Cod quality product assurance; and 3. Fish health and treatment (parasites, bacterial infection, Lurnea, Chilodonella, ratty tail). Review and update information on treatment options (chronic/prophylactic) for Murray Cod. Murray Cod health management strategy
This project proposal aims to address these high R&D industry priorities by developing a range of technical and extension material.
The Murray Cod industry is developing rapidly in Australia increasing from 250t 2014/15 to over 500t 2016/17. Industry forecast several thousand tonnes production by 2020 with many new farms seeking approval and new franchise business models moving forward. To capitalise on this expansion, there is a pressing need to improve extension resources.
Objectives: 1. Development of best practice production guidelines for Murray Cod aquaculture, to be used nationally 2. Extension to industry, and new investors, of the best practice production guidelines Read moreRead less
Evaluation Of Cobia And Giant Groper Production And Health In Multiple Growout Systems, As An Alternative Species To Farm In WSSV Affected Areas Of South East Queensland
Funder
Fisheries Research and Development Corporation
Funding Amount
$150,000.00
Summary
The production and health performance of emerging aquaculture species, cobia and giant grouper, in former prawn farm pond and tank infrastructure is not well documented. The development of these alternative species offers flexibility and new production opportunities to WSSV affected farms in SE Queensland, and elsewhere in Australia to expand aquaculture production more generally.
Fish health problems are a common cause of aquaculture business failure. In prior pilot trials, significant ....The production and health performance of emerging aquaculture species, cobia and giant grouper, in former prawn farm pond and tank infrastructure is not well documented. The development of these alternative species offers flexibility and new production opportunities to WSSV affected farms in SE Queensland, and elsewhere in Australia to expand aquaculture production more generally.
Fish health problems are a common cause of aquaculture business failure. In prior pilot trials, significant health challenges were encountered that require thorough veterinary investigation and intervention. The information learnt from investigations can then form components of a health management plan for the culture of these two species in SE Queensland, in various systems. The description of health challenges through veterinary outbreak investigation allows the development and costing of interventions to prevent or treat the issue. Over the 12 month time frame of this project, surveillance strategies can be developed for early detection of disease. Such health management strategies facilitate early response actions that can minimise losses associated with infectious disease.
One metric which influences the viability of aquaculture systems is the density at which a species can be farmed. This is particularly the case in RAS, where the infrastructure capital costs are high. This project will document the impacts of stocking density on health and production in RAS, cages and ponds.
Another element that strongly influences viability of aquaculture enterprises is the growth rates of stock that are able to be achieved. Generating data from systems farmed at commercial densities can assist in determining the suitability of various sites for expansion of farming these species in Australia.
Objectives: 1. Generate data on the production and health performance of Giant Grouper and Cobia in RAS, cages in a saline lake and in outdoor pond growout systems. 2. Field test production outcomes from an experimental recombinant autogenous vaccine for prevention of nodavirus in the Giant Grouper. 3. Assess market potential for various formats of cobia and grouper Read moreRead less
Coding of olfactory information in the piriform cortex. This project aims to understand how electrical activity in the primary olfactory (piriform) cortex enables mice to recognise and remember odours. By using optical recording techniques together with genetic tools, the project expects to generate new knowledge about how the mammalian brain builds internal representations of the external world. Specific outcomes of the project include new insights into the functional architecture of the pirifo ....Coding of olfactory information in the piriform cortex. This project aims to understand how electrical activity in the primary olfactory (piriform) cortex enables mice to recognise and remember odours. By using optical recording techniques together with genetic tools, the project expects to generate new knowledge about how the mammalian brain builds internal representations of the external world. Specific outcomes of the project include new insights into the functional architecture of the piriform cortex and fresh understanding of how olfactory information is encoded and stored in neural circuits. More broadly, the project aims to advance our understanding of how the brain works, with benefits for future improvements in artificial intelligence and brain-machine interfaces.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) ne ....MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) new methods for susceptibility diagnosis, 3) new defences that leverage privacy and utility. Data-oriented services are estimated to be valuable assets in the future. These techniques can help Australia gain cutting edge advantage in machine learning security and privacy and protect its intellectual property on these services.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less
Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical softwar ....Verified concurrent memory management on modern processors. This project aims to formally verify automatic memory managers in the presence of concurrency and the weakly ordered memory of modern processors. A new framework for verifying memory managers, reusable for a wide range of managed programming languages, target hardware, policies, and algorithms will be developed. Expected technical outcomes include improved techniques to ensure trustworthiness of the foundations on which critical software infrastructures are built. This will significantly enhance the security of public and private cyber assets, and deliver applications that are more robust and trustworthy, across a range of critical infrastructure such as transportation, communication, energy and defence.Read moreRead less
Electrical properties of human dendrites. This project aims to determine the electrical properties of dendrites in human neurons. Dendrites are the primary site of synaptic input to neurons and their electrical properties play a key role in information processing in the brain. While we know much about the electrical properties of dendrites in other species, primarily rodents, little is known about the electrical properties of human dendrites. This project aims to address this gap in knowledge fo ....Electrical properties of human dendrites. This project aims to determine the electrical properties of dendrites in human neurons. Dendrites are the primary site of synaptic input to neurons and their electrical properties play a key role in information processing in the brain. While we know much about the electrical properties of dendrites in other species, primarily rodents, little is known about the electrical properties of human dendrites. This project aims to address this gap in knowledge for the first time. The results obtained will shed light on the mechanisms the brain uses to process information, and therefore will bring us a step closer to truly understanding ourselves.Read moreRead less