Price risk exposure of Australian Merinos – is it in the bloodline?
Karl BehrendtGraham Centre for Agricultural Innovation (Charles Sturt University and NSW Department of Primary Industries), Charles Sturt University, School of Agricultural and Wine Science, Orange, NSW 2800, Australia. Email: kbehrendt@csu.edu.au
Animal Production Science 54(9) 1317-1322 https://doi.org/10.1071/AN14305
Submitted: 13 March 2014 Accepted: 22 May 2014 Published: 10 July 2014
Abstract
Sheep producers and their advisors utilise Australian Merino bloodline trial data to guide future sheep breeding objectives and ram selection. To adequately assess the economic outcomes from different bloodlines in the decision making process, there is a need to consider the impact of wool and sheep meat price risk. Using a steady-state wether flock model that accounts for the lifetime productivity of 268 reported Merino bloodlines and stochastic dependency in weekly wool and sheep meat prices from 28 June 2005 to 10 November 2011, gross incomes per dry sheep equivalent (GI/DSE) were calculated for a weekly time step. The analysis found that across all bloodlines and market price scenarios, GI/DSE ranged between AU$13.92 and AU$67.83, with an overall mean of AU$32.60. The individual means of bloodlines across the time series ranged from AU$37.46 to AU$25.19 GI/DSE. The coefficient of variation, used as the measure of relative risk for each bloodline, ranged from 0.24 to 0.30 with a mean of 0.25. The analysis showed that a bloodlines exposure to price risk has a curvilinear relationship to fibre diameter and fleece weight. The results from a risk-reward point of view indicate that the majority of Australian Merino bloodlines are risk-inefficient. This suggests Australian sheep producers have a significant opportunity to increase net returns and reduce price risk exposure by identifying and switching to more risk-efficient bloodlines.
Additional keywords: risk-efficiency, sheep bloodline productivity and economics, simulation, wool and sheep meat price risk.
References
Anderson JR, Dillon JL, Hardaker JB (1977) ‘Agricultural decision analysis.’ (Iowa State University Press: Ames, IA)Antle JM (1983) Incorporating risk in production analysis. American Journal of Agricultural Economics 65, 1099–1106.
| Incorporating risk in production analysis.Crossref | GoogleScholarGoogle Scholar |
Atkins KD, Coelli KA (1997) Economic evaluation of Merino bloodlines including risk considerations. In ‘Proceedings of the 12th conference of the Association for the Advancement of Animal Breeding and Genetics. RSL Complex and Western Plains Zoo Dubbo NSW, Australia, 6–10 April 1997. Vol. 12’. pp. 701–704. (Association for the Advancement of Animal Breeding and Genetics) Available at http://www.aaabg.org/proceedings/1997/AB97150.pdf. [Verified June 2014]
AWEX (2005–2011) Weekly MPG indicators. Australian Wool Exchange
Butler L (2006) ‘Ewe and wether trials – tools for benchmarking your sheep genetics.’ (Department of Agriculture and Food, Government of Western Australia). Perth.
Cacho OJ, Bywater AC, Dillon JL (1999) Assessment of production risk in grazing models. Agricultural Systems 60, 87–98.
| Assessment of production risk in grazing models.Crossref | GoogleScholarGoogle Scholar |
Casey A, Martin S, Graham R, Semple S, Atkins KD (2010) ‘Choosing a bloodline source.’ (Industry & Investment NSW). Orange, NSW.
Coelli K, Atkins KD (2000) This analysis of a Merino ewe enterprise supports the economic merit of fine wool bloodlines. Wool Technology and Sheep Breeding 48, 277–284.
Coelli K, Atkins K, Casey A, Semple S (1996) Genetic differences among Merino bloodlines from NSW and Victorian wether comparisons (1984–1995). International Journal of Sheep and Wool Science 44, 178–195.
Counsell DJ (2002) Review of the sale performance of individual wool clips against regional Australian Wool Exchange micron price guides. Wool Technology and Sheep Breeding 50, 208–214.
Counsell DJ, Vizard AL (1997) Factors affecting the business risk of wool growing farms in the high rainfall zone of Australia. Wool Technology and Sheep Breeding 45, 256–266.
Curtis K (2009) ‘Recent changes in the Australian sheep industry.’ (Department of Agriculture and Food WA: Perth)
Freer M, Dove H, Nolan JV (Eds) (2007) Nutrient requirements of domesticated ruminants. In ‘Feeding standards for Australian livestock: ruminants.’ (CSIRO Publishing: Melbourne)
Hardaker JB, Huirne RBM, Anderson JR, Lien G (2004) ‘Coping with risk in agriculture.’ (CABI Publishing: Wallingford, UK)
Hershey JC, Kunreuther HC, Schoemake PJ (1982) Sources of bias in assessment procedures for utility functions. Management Science 28, 936–954.
| Sources of bias in assessment procedures for utility functions.Crossref | GoogleScholarGoogle Scholar |
Martin S, Atkins K, Semple S, Sladek M, Thackeray R, Staines J, Casey A, Graham R, Russell A (2010) ‘Merino bloodlines: the comparison 1999–2010.’ (Industry & Investment NSW: Available at http://www.dpi.nsw.gov.au/__data/assets/pdf_file/0004/344920/merino-bloodlines-the-comparisons-1999-2010.pdf . [Verified June 2014)
Mathworks Inc (Ed. TM Inc.) (2013) ‘R2013b (Version 8.2).’ (The Mathworks Inc: MA)
MLA (2005–2011, various issues. (Meat & Livestock Australia))