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)
Industry
PROJECT NUMBER • 2016-142
PROJECT STATUS:
COMPLETED

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

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...
ORGANISATION:
James Cook University (JCU)
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