Multimethod approach to advance provenance determination of fish in stocked systems

Author:

Leahy Susannah M.1ORCID,Jerry Dean R.2ORCID,Wedding Brett B.C.1,Robins Julie B.3ORCID,Wright Carole L.4,Sadekov Aleksey5ORCID,Boyle Stephen6,Jones David B.2,Williams Samuel M.3,Grauf Steve1,Pavich Luke1,McLennan Mark3,Sellin Michelle J.7,Goldsbury Julie A.2,Saunders Richard J.8ORCID

Affiliation:

1. Queensland Department of Agriculture and Fisheries, Cairns 4870, Queensland, Australia

2. College of Science and Engineering and Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville 4811, Queensland, Australia

3. Queensland Department of Agriculture and Fisheries, Brisbane 4102, Queensland, Australia

4. Queensland Department of Agriculture and Fisheries, Mareeba 4880, Queensland, Australia

5. Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, Perth 6009, Western Australia, Australia

6. Retired

7. Queensland Department of Agriculture and Fisheries, Bribie Island 4507, Queensland, Australia

8. University of Tasmania, Battery Point 7004, Tasmania, Australia

Abstract

Fish stocking occurs in aquatic systems for conservation purposes, to create or enhance recreational fisheries and to enhance wild-catch commercial fisheries. Identifying and quantifying the contribution of stocking efforts to wild populations is crucial to informing these management objectives. Provenance determination methods trade off accuracy, replicability, and cost-effectiveness at fishery-relevant scales. We present and assess multiple methods for provenance determination using a case study of barramundi ( Lates calcarifer) in the Dry Tropics region of northern Australia. A novel application of near-infrared spectroscopy (NIRS) is compared to two established methods for fish provenance, otolith microchemistry and genetic parentage analysis using microsatellites. The otolith microchemistry method was able to provide extremely high provenance resolution (>99% accuracy). The microsatellite parentage analysis method had a slightly lower overall accuracy (95%), likely as a result of genetic introgression in this region. Provenance determination using otolith NIRS had the lowest overall accuracy (76%). Once limitations regarding spectral noise, image resolution, and sample size are addressed, NIRS may have potential for cost-effectively determining provenance in fish.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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