Abstract
This study predicts the long-term economic effects of a genetic improvement program of Australian abalone. A detailed bioeconomic model was constructed, which allows the combination of the biological, technological, and economic aspects of genetic improvement. This research focuses on analyzing various traits through an aggregate breeding value and selection index. In this study, the traditional formula of annual genetic gain is used to allow a detailed analysis of biomass future behavior in terms of the intertemporal evolution of the traits analyzed. The results showed that the production program of genetic management in Australian abalone is profitable but only in the very long term, and it is influenced mainly by the progressive increase in the biomass of each abalone and the survival rate. Sensitivity analysis showed that the weight at harvest is the most important trait, suggesting that it is more beneficial for a farmer to focus on genetically improving this trait. In addition, reproductive factors (especially survival from competent larvae until sexual maturity) had a particularly strong impact on the results, much more than the factors related to genetic improvement and economics, such as the discount rate and selling price.
Similar content being viewed by others
References
Apiolaza L (2000) Multiple trait improvement of Radiata pine. AveMassey University, Palmerston North
Apiolaza L, Garrick D (2001) Breeding objectives for three silvicultural regimes of radiata pine. Can J For Res 31:654–662
AWABI CD (2011). Universidad Católica del Norte, Chile
Bunger L, Herrendorfer G (1994) Analysis of a long-term selection experiment with exponential model. J Anim Breed Genet 111:1–13
Chick RC (2010) Atock enhancement of local populations of blacklip abalone (Haliotis ubra Leach) in New South Wales, Australia. James Cook University, Australia
Dunham R, Majumdar K, Hallerman E, Bartley D (2000) Review of the status of aquaculture genetics. Technical Proceedings of the Conference on Aquaculture in the Third Millennium (pp. 137–166). Bangkok, Thailand: NACA, Bangkok and FAO, Rome
Evans B, Bartlett J, Sweijd N, Cook P, Elliott NG (2004) Loss of genetic variation at microsatellite loci in hatchery produced abalone in Australia (Haliotis rubra) and South Africa (Haliotis midae). Aquaculture 233(1–4):109–127
Falconer DS, Mackay TF (2008) Introduction to quantitative genetics, 4th edn. Prentice Hall, Longman Group Ltd., Edinburgh Gate
Gibson JP, Dekkers JC (2009) Design and economics of animal breeding strategies. University of New England (on line book), Armidale
Gjedrem T (2005) Selection and breeding programs in aquaculture. Springer, Netherlands
Greaves B, Dutkowski G, McRae T (2004) Breeding objectives for eucalyptus globulus for products other than kraft pulp. IUFRO Conference-Eucalyptus in a changing world, Aveiro, p 6
Haddon M, Mundy C, Tarbath D (2007) Using an inverse-logistic model to describe growth increments of blacklip abalone (Haliotis rubra) in Tasmania. Fish Bull 106(1):58–71
Hazel L (1943) The genetic basis for constructing selection indexes. Genetics 28:476–490
Heasman M, Liu W, Goodsell P, Hurwood D, Allan D (2007). Development and delivery of technology for production, enhancement and aquaculture of blacklip abalone (Haliotis rubra) in New South Wales. Australia: NSW Department of Primary Industries—Fisheries Final Report Series No. 95 ISSN 1449-9967
Hill WG (1971) Investment appraisal for National Breeding Programmes. Anim. Prod 13:37–50
Huchette SMH, Soulard JP, Koh CS, Day RW (2004) Maternal variability in the blacklip abalone, Haliotis rubra leach (Mollusca: Gastropoda): effect of egg size on fertilisation success. Aquaculture 231(1–4):181–195
Knight M, Doonan A, Tsolos A (2007) South Australian wild fisheries information and statistics report. SARDI Research Report Series No, Australia, p 200
Kube P, Appleyard A, Elliott G (2007) Selective breeding greenlip abalone (Haliotis laevigata): preliminary results and issues. J Shellf Res 26(3):821–824
Li X (2008) Abalone aquaculture subprogram: selective breeding farmed abalone to enhance growth rates (II). Australia: SARDI Research Report Series N° 318
Mrode R, Thompson R (2005) Linear models for the prediction of animal breeding values. CABI Publishing, Wallingford
Olsen D, Sehested E (2000) A method of modelling pig breeding schemes. Animal Sci 50:1–11
Plant R, Mozqueira A, Day RW, Huchette SMH (2002) Conditioning and spawning blacklip abalone. In: Fleming AE (ed) Proceedings of the 9th Annual Abalone Aquaculture Workshop, Queenscliff, 29–31st July. Fisheries Research and Development Corporation's Abalone Aquaculture Subprogram. FRDC, Canberra, Australia, pp 136–144
Ponzoni R, Hong Nguyen N, Ling Khaw H (2007) Investment appraisal of genetic improvement programs in Nile tilapia. Aquaculture 269:187–199
Ponzoni H, Hong Nguyen N, Ling Khaw H, Huu Ninh N (2008) Accounting for genotype by environment interaction in economic appraisal of genetic improvement programs in common carp Cyprinus carpio. Aquaculture 285:47–55
Robinson N, Li X (2008) Scope and economic analysis of options for abalone industry. Final report. Australian: SARDI Aquatic Sciences publication N°. F2008/000947-1
Robinson N, Li X, Hayes B (2010) Testing options for the commercialization of abalone selective breeding using bioeconomic simulation modelling. Aquac Res 41:268–288
Rogers-Bennett L, Rogers DW, Schultz SA (2007) Modeling growth and mortality of red abalone (Haliotis rufescens) in Northern California. J Shellf Res 3:719–727
Ross SA, Westerfield R, Jordan BD (2008) Essentials of corporate finance. McGraw-Hill Higher Education, New York
Smith HF (1936) A discriminant function for plant selection. Annals of Eugenics 7:240–250
Strandberg E, Malmfors B (2006) Selection and genetic change. Dept of Animal Breeding and Genetics Swedish University of Agricultural Science, Uppsala
Tarbath D (1999, December) Technical Report Series N° 3. Estimates of growth and natural mortality of the blacklip abalone (Haliotis rubra) in Tasmania. Tasmania, Australia: Tasmanian Aquaculture & Fisheries Institute University of Tasmania
Uki N (1989a) Abalone seedling production and its theory (2). Int. J. Aquac. Fish Technol 1:125–132
Uki N (1989b) Abalone seedling production and its theory (3). Int. J. Aquac. Fish Technol. 1:224–232
Walsh B, Lynch M (2011). Evolution and Selection of Quantitative Traits. On Line Book (http://nitro.biosci.arizona.edu/zbook/book.html)
Weller J (1999) Economic applications in animal genetics and breeding. In: Rege J (ed) Economic valuation of animal genetic resources. Proceedings of an FAO/ILRI Workshop held at FAO Headquarters, Rome, pp 15–20
Zúñiga S (2010) A dynamic simulation analysis of Japanese abalone (Haliotis discus hannai) production in Chile. Aquacult Int 18:603–620
Acknowledgments
The authors acknowledge the financial support from the Nuclei of the Millennium Science Initiative Program “Regional Sciences and Public Policy’’ (MIDEPLAN-Chile)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zuniga-Jara, S., Marín-Riffo, M.C. A bioeconomic model of a genetic improvement program of abalone. Aquacult Int 22, 1533–1562 (2014). https://doi.org/10.1007/s10499-014-9764-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10499-014-9764-8