3 results
Industry
PROJECT NUMBER • 2019-151
PROJECT STATUS:
COMPLETED

Application of a machine learning approach for effective stock management of farmed abalone

This report provides detail on the development of a machine learning tool as a method for counting and measuring abalone at various stages of production. The study was carried out on hybrid abalone with ~2000 images (nursery, weaner and growout stage) collected from Southern Ocean Mariculture and...
ORGANISATION:
James Cook University (JCU)
Industry
PROJECT NUMBER • 2017-220
PROJECT STATUS:
COMPLETED

Testing established methods of early prediction of genetic merit in abalone broodstock

This report provides an assessment of the utility of RNA/DNA ratio as a method for early prediction of high performing abalone broodstock. The study was carried out on farmed Greenlip Abalone (Haliotis laevigata) whereby families were produced and resulting progeny were reared using commercial...
ORGANISATION:
James Cook University (JCU)

Genetic diversity audit of farm held stocks of Greenlip and Blacklip abalone

Project number: 2016-142
Project Status:
Completed
Budget expenditure: $35,204.79
Principal Investigator: Jan Strugnell
Organisation: James Cook University (JCU)
Project start/end date: 2 Apr 2017 - 30 Oct 2017
Contact:
FRDC

Need

The abalone aquaculture industry requires a genetic audit of farm held stocks of greenlip and blacklip abalone to be conducted in order to identify current levels of genetic diversity, effective population sizes, and levels of coancestry/relatedness captured within individual farms and the wider industry.

This fundamental information is needed to guide future approaches to genetic improvement of farmed abalone.

Objectives

1. Conduct a genetic audit of farm held stocks of greenlip and blacklip abalone to identify current levels of genetic diversity, effective population sizes, and levels of coancestry/relatedness captured within individual farms and the wider industry.

Final report

Author: Jan Strugnell and Catarina Silva
Final Report • 2017-10-31
2016-142-DLD.pdf

Summary

Following the AVG virus, the number of broodstock that were available to produce hybrids was drastically reduced. This project was undertaken in order to ascertain the genetic diversity present within farm held broodstock of greenlip and blacklip abalone and to determine the degree of genetic differentiation of stocks within and between farms. A genetic audit of farm held stocks enables farmers to gain an understanding of the genetic resources held across the industry.
 
This report provides a genetic audit of farm held stocks of greenlip and blacklip abalone from six Australian farms across three states. Thousands of single nucleotide polymorphisms (SNPs) were used to calculate genetic diversity, genetic differentiation, effective population size and relatedness within and between farms and are reported for each species. A mate allocation plan is also presented which optimises the available genetic resources across farms in order to minimise kinship. The audit was carried out in 2016 and 2017 by Associate Professor Jan Strugnell and Dr Catarina Silva based within the Department of Marine Biology and Aquaculture at James Cook University, Australia.
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