Testing established methods of early prediction of genetic merit in abalone broodstock
National fisheries and aquaculture industry social and economic contributions study: Phase 1
Reducing the Number of Undefined Species in Future Status of Australian Fish Stocks Reports: Phase Two - training in the assessment of data-poor stocks
The Status of Australian Fish Stocks project is increasing the number of species/stocks to be included but many of these new stocks may fall into the "undefined" category and, because they suggest a lack of assessment and management, they lower the overall impression of the state of fisheries management within Australia. The FRDC National Priority 1 has two targets relating to the "undefined" category. By 2020, the target is to increase the number of species covered in SAFS to 200, and at the same time, to reduce the percentage of stocks classified as undefined to less than 10%. Most major commercial species by value are already included in SAFS, so increasing that number to 200 will mean including many data-poor fisheries making achieving both targets by 2020 difficult. An earlier project (2016-135) disarticulated the undefined category into sub-groups at least one of which should be amenable to data-poor assessment techniques. There is thus a need, within each jurisdiction, to identify which of the new species selected for inclusion in SAFS are likely to be classed as undefined and yet still amenable to a data-poor assessment method. There have been many recent developments with data-poor stock assessment methods and there is thus also a need in all jurisdictions for staff training to develop more local expertise in these new methods and to transfer suitable custom software for conducting such analyses. With the agreement of all parties involved there is a need to then apply and document the particular assessment method used that permits a status determination for each species selected, thereby reducing the number of undefined species.
Final report
Two open source R packages, simpleSA and cede, were used in the workshops, with additional development of the software contained in each one continuing as experience in the different jurisdictions expanded. cede contained software to assist with data exploration (simple mapping and data summary functions) and with illustrating and comparing different catch-effort standardization techniques. simpleSA contained three main data-poor stock assessment techniques (catch-MSY, surplus-production modelling, and age-structured surplus production modelling) plus functions to assist with catch-curve analysis.
The workshops consisted of an introduction to the problems of assessing data-poor fisheries, potential solutions, and their implications for management. The workshops included an introductory lecture and then live demonstrations of the software with expla-nations of the limitations and assumptions of each approach, followed by hands-on use by participants using either data sets included in the packages or, ideally, their own datasets prepared before the workshops.
Initially the workshops were designed around the idea of being two days long, but after the first two workshops, this was altered to become three days (for all but the Tasmanian workshop, which required only 2 days). This allowed time for participants to more fully explore their data, to make brief presentations of analyses they had conducted, and to receive feedback on these from the workshop presenters and their own colleagues.
Seafood CRC: Extending biotoxin capability and research in Australia through development of an experimental biotoxin contamination facility to target industry relevant issues
Monitoring abalone juvenile abundance following removal of Centrostephanus and translocation
National People Development: Membership of PIEFA to support and encourage the teaching and learning in Australian schools of information related to the Australian Fishing Industry
Management of Australian Abalone Growers Association's RD&E portfolio
FRDC has recently devolved responsibility for strategic priorities and direction to industry. Consequently the functions described in this application are needed to plan and manage AAGA's RD&E portfolio in partnership with FRDC to ensure that research continues to provide results that address
key priority areas of the industry. Specifically the functions needed to achieve this are:
a) Develop collaborations with R&D agencies to assist development of RD&E projects needed to address issues described in the AAGA Strategic Plan 2015-2020, including:
(i) Sustainable development of the industry;
(ii) Maintaining and enhancing biosecurity and abalone health;
(iii) An emphasis on abalone health via nutrition;
(iv) Increases in production efficiency and profitability;
(v) Enhanced market development of quality abalone products;
(vi) Improved human capacity, safety and training
b) Ensure effective and rapid dissemination, extension and uptake of the outcomes of R&D to AAGA members.
c) Identify alternative sources of funding that can be accessed through co-investment in additional RD&E projects to achieve greater outcomes for the farmed abalone industry.
Final report
During the five years 15 abalone and related R&D projects were conducted with $853,000 contributed via the IPA and considerably more from research institutions and in kind from farms and other participants including feed manufacturers. Projects supported by the IPA were consistent with the priorities in the AAGA Strategic Plan 2015-2020. Ten of the 15 projects are now complete, or near completion. All the projects have delivered benefits to the industry.
Nutrition has long been and will continue to be a focus for AAGA R&D.
Knowledge of abalone genetics including the genetic pool on farms and the nature of abalone responses to AVG and to higher summer water temperatures will aid selective breeding.
Improvements to biosecurity and vigilant surveillance has resulted in robust on farm biosecurity plans and no disease outbreaks on farms.
During this project AAGA developed a new strategic plan that will guide research in a new IPA to cover the period from 2020 – 2025 was completed. Significant outcomes from the new Strategic Plan include:
• The need for stronger links between nutrition and genetic selection especially in response to warming waters.
• The need to develop and embrace AI and mechanisation to improve labour efficiencies and invest in our labour force to provide improved quality employment opportunities.
• Recognition that additional funding for R&D will need to be sourced.