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RESEARCH ARTICLE

Optimal sheep stocking rates for broad-acre farm businesses in Western Australia: a review

Michael Young https://orcid.org/0000-0002-6072-5439 A B * , Philip E. Vercoe A B and Ross S. Kingwell A C D
+ Author Affiliations
- Author Affiliations

A School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia.

B Institute of Agriculture, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia.

C Australian Export Grains Innovation Centre, Perth, WA 6151, Australia.

D Department of Primary Industries and Regional Development, Perth, WA 6151, Australia.

* Correspondence to: youngmr44@gmail.com

Handling Editor: Maree Bowen

Animal Production Science 62(9) 803-817 https://doi.org/10.1071/AN21462
Submitted: 7 September 2021  Accepted: 10 February 2022   Published: 16 March 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Sheep stocking rate influences farm profit significantly; however determining the optimal stocking rate is a difficult task. In this paper, we address this challenge through three main steps. First, we review the definition of stocking rate; second, we examine prior research relevant to the review topic and highlight the factors that need to be considered when determining the optimal stocking rate; and third, we make recommendations for improvements in research on establishing the optimal sheep stocking rate. Inconsistency in the definition of stocking rate can lead to miscommunication among researchers, advisers and farmers. If 10 dry sheep equivalents (DSE)/ha is optimal for one flock, it may not be optimal for another flock because the DSE measure does not fully capture the nuances of different patterns of nutritional requirements among sheep classes and feed availabilities and their respective prices and costs. The optimal stocking rate occurs when the marginal economic benefit of an additional animal equals its marginal cost. Determining this point requires an understanding of the quantity and quality of feed available throughout the year, the optimal liveweight profile throughout the year, the impact of seasonal variation, the impact of labour availability, the cost of alternative feeds, prices of livestock and livestock products, the risk preferences of the farmer, and any emission policies relating to greenhouse gases. Farmers tend to use their own judgement to set their stocking rates, with the aim of maximising utility. However, the complexities listed make it a challenging task. Thus, researchers have used various simulation and programming models to aid decision-making over optimal stocking rates, but most farmers continue to rely on their own personal judgement. Moreover, often a focus of this modelling is for sheep systems in eastern Australia. Generalising this research across Australia is difficult due to differences in climatic conditions and markets across Australia. Often farmers are unaware of the profits they are foregoing when choosing either an overly conservative or excessive stocking rate. Our research has shown that foregone income of up to AUD50 per hectare can occur when a stocking rate 30% below or above the optimum is selected. Thus, despite the complexities that underpin the stocking rate decision, we believe that there are potential rewards from further research on the optimisation of stocking rates.

Keywords: Australian agriculture, broadacre, farm modelling, farm strategy, MIDAS, mixed farming, sheep production, stocking rate.


References

Alcock D, Hegarty RS (2006) Effects of pasture improvement on productivity, gross margin and methane emissions of a grazing sheep enterprise. International Congress Series 1293, 103–106.
Effects of pasture improvement on productivity, gross margin and methane emissions of a grazing sheep enterprise.Crossref | GoogleScholarGoogle Scholar |

Asseng S, Thomas D, McIntosh P, Alves O, Khimashia N (2012) Managing mixed wheat–sheep farms with a seasonal forecast. Agricultural Systems 113, 50–56.
Managing mixed wheat–sheep farms with a seasonal forecast.Crossref | GoogleScholarGoogle Scholar |

Bardsley P, Harris M (1991) Rejoinder: an approach to the econometric estimation of attitudes to risk in agriculture. Australian Journal of Agricultural Economics 35, 319
Rejoinder: an approach to the econometric estimation of attitudes to risk in agriculture.Crossref | GoogleScholarGoogle Scholar |

Bathgate A, Pannell DJ (2002) Economics of deep-rooted perennials in western Australia. Agricultural Water Management 53, 117–132.
Economics of deep-rooted perennials in western Australia.Crossref | GoogleScholarGoogle Scholar |

Bathgate A, Revell C, Kingwell R (2009) Identifying the value of pasture improvement using wholefarm modelling. Agricultural Systems 102, 48–57.
Identifying the value of pasture improvement using wholefarm modelling.Crossref | GoogleScholarGoogle Scholar |

Bell LW, Robertson MJ, Revell DK, Lilley JM, Moore AD (2008) Approaches for assessing some attributes of feed-base systems in mixed farming enterprises. Australian Journal of Experimental Agriculture 48, 789–798.
Approaches for assessing some attributes of feed-base systems in mixed farming enterprises.Crossref | GoogleScholarGoogle Scholar |

Bond GE, Wonder B (1980) Risk attitudes amongst Australian farmers. Australian Journal of Agricultural Economics 24, 16–34.
Risk attitudes amongst Australian farmers.Crossref | GoogleScholarGoogle Scholar |

Brown TH (1976) Effect of deferred autumn grazing and stocking rate of sheep on pasture production in a Mediterranean-type climate. Australian Journal of Experimental Agriculture 16, 181–188.
Effect of deferred autumn grazing and stocking rate of sheep on pasture production in a Mediterranean-type climate.Crossref | GoogleScholarGoogle Scholar |

Chisholm AH (1965) Towards the determination of optimum stocking rates in the high rainfall zone. Review of Marketing and Agricultural Economics 33, 5–31.

Cullen BR, Eckard RJ, Callow MN, Johnson IR, Chapman DF, Rawnsley RP, Garcia SC, White T, Snow VO (2008) Simulating pasture growth rates in Australian and New Zealand grazing systems. Australian Journal of Agricultural Research 59, 761–768.
Simulating pasture growth rates in Australian and New Zealand grazing systems.Crossref | GoogleScholarGoogle Scholar |

Curtis K (1988) New wool prices beg higher stocking rates. Journal of the Department of Agriculture, Western Australia 29, 102–103.

Darbyshire R, Crean J, Cashen M, Anwar MR, Broadfoot KM, Simpson M, Cobon DH, Pudmenzky C, Kouadio L, Kodur S (2020) Insights into the value of seasonal climate forecasts to agriculture. Australian Journal of Agricultural and Resource Economics 64, 1034–1058.
Insights into the value of seasonal climate forecasts to agriculture.Crossref | GoogleScholarGoogle Scholar |

Dillon JL, Burley HT (1961) A note on the economics of grazing and its experimental investigation. Australian Journal of Agricultural Economics 5, 123–132.
A note on the economics of grazing and its experimental investigation.Crossref | GoogleScholarGoogle Scholar |

DPI (2020) Livestock gross margin budgets. Available at https://www.dpi.nsw.gov.au/agriculture/budgets/livestock

Donnelly JR, Freer M, Moore AD (1994) Evaluating pasture breeding objectives using computer models. New Zealand Journal of Agricultural Research 37, 269–275.
Evaluating pasture breeding objectives using computer models.Crossref | GoogleScholarGoogle Scholar |

Doole GJ, Pannell DJ (2008) Optimisation of a large, constrained simulation model using compressed annealing. Journal of Agricultural Economics 59, 188–206.
Optimisation of a large, constrained simulation model using compressed annealing.Crossref | GoogleScholarGoogle Scholar |

Dove H, Kirkegaard J (2014) Using dual-purpose crops in sheep-grazing systems. Journal of the Science of Food and Agriculture 94, 1276–1283.
Using dual-purpose crops in sheep-grazing systems.Crossref | GoogleScholarGoogle Scholar | 24323974PubMed |

Duloy JH (1961) The allocation of resources in the woolgrowing industy. Australian Journal of Agricultural Economics 5, 113–122.

Dunlop AC, Bowden JW, Allen GM (1984) The effect of stocking rate on dry matter production of Mediterranean annual pastures. In ‘Proceedings of the Australian Society of Animal Production’. Vol. 15, pp. 333–336. (Animal Production in Australia)

Ferguson MB, Thompson AN, Gordon DJ, Hyder MW, Kearney GA, Oldham CM, Paganoni BL (2011) The wool production and reproduction of Merino ewes can be predicted from changes in liveweight during pregnancy and lactation. Animal Production Science 51, 763–775.
The wool production and reproduction of Merino ewes can be predicted from changes in liveweight during pregnancy and lactation.Crossref | GoogleScholarGoogle Scholar |

Flessa H, Ruser R, Dörsch P, Kamp T, Jimenez MA, Munch JC, Beese F (2002) Integrated evaluation of greenhouse gas emissions (CO2, CH4, N2O) from two farming systems in southern Germany. Agriculture, Ecosystems & Environment 91, 175–189.
Integrated evaluation of greenhouse gas emissions (CO2, CH4, N2O) from two farming systems in southern Germany.Crossref | GoogleScholarGoogle Scholar |

Freer M, Moore AD, Donnelly J (1997) GRAZPLAN: decision support systems for Australian grazing enterprises—II. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS. Agricultural Systems 54, 77–126.
GRAZPLAN: decision support systems for Australian grazing enterprises—II. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS.Crossref | GoogleScholarGoogle Scholar |

Freer M, Dove H, Nolan J (2007) ‘Nutrient requirements of domesticated ruminants.’ (CSIRO Publishing)

Ghadim AKA, Pannell DJ, Burton MP (2005) Risk, uncertainty, and learning in adoption of a crop innovation. Agricultural Economics 33, 1–9.
Risk, uncertainty, and learning in adoption of a crop innovation.Crossref | GoogleScholarGoogle Scholar |

Gicheha MG, Edwards GR, Bell ST, Bywater AC (2014) Embedded risk management in dryland sheep systems I. Field results and development of a destocking algorithm. Agricultural Systems 124, 12–20.
Embedded risk management in dryland sheep systems I. Field results and development of a destocking algorithm.Crossref | GoogleScholarGoogle Scholar |

Hinton DG (2007) ‘Supplementary feeding of sheep and beef cattle.’ (Landlinks Press)

Honan M, Feng X, Tricarico JM, Kebreab E (2021) Feed additives as a strategic approach to reduce enteric methane production in cattle: modes of action, effectiveness and safety. Animal Production Science
Feed additives as a strategic approach to reduce enteric methane production in cattle: modes of action, effectiveness and safety.Crossref | GoogleScholarGoogle Scholar |

Janssen SJC, Porter CH, Moore AD, Athanasiadis IN, Foster I, Jones JW, Antle JM (2016) Towards a new generation of agricultural system data, models and knowledge products: information and communication technology. Agricultural Systems 155, 200–212.
Towards a new generation of agricultural system data, models and knowledge products: information and communication technology.Crossref | GoogleScholarGoogle Scholar |

Kahan D (2013) ‘Farm business analysis using benchmarking.’ (Food and Agriculture Organization of the United Nations)

Kenny LB, Burk A, Williams CA (2019) Managing equine grazing for pasture productivity. In ‘Horse pasture management’. (Ed. P Sharpe) pp. 141–155. (Academic Press)

Kingwell RS (1994) Risk attitude and dryland farm management. Agricultural Systems 45, 191–202.
Risk attitude and dryland farm management.Crossref | GoogleScholarGoogle Scholar |

Kingwell RS (2009) The carbon challenge for mixed enterprise farms. An invited paper. In ‘The New Zealand Agricultural & Resource Economics Society’s annual conference’, Nelson, 27–28 August 2009. (New Zealand Agricultural and Resource Economics Society)

Kingwell R (2011) Managing complexity in modern farming. Australian Journal of Agricultural and Resource Economics 55, 12–34.
Managing complexity in modern farming.Crossref | GoogleScholarGoogle Scholar |

Kingwell R, Fuchsbichler A (2011) The whole-farm benefits of controlled traffic farming: an Australian appraisal. Agricultural Systems 104, 513–521.
The whole-farm benefits of controlled traffic farming: an Australian appraisal.Crossref | GoogleScholarGoogle Scholar |

Kingwell RS, Pannell DJ (1987) ‘MIDAS, a bioeconomic model of a dryland farm system.’ (PUDOC: Wageningen, Netherlands)

Kingwell R, Squibb L (2015) The role and value of combining dual-purpose crops and lucerne in a mixed-enterprise farming system. Crop & Pasture Science 66, 399–409.
The role and value of combining dual-purpose crops and lucerne in a mixed-enterprise farming system.Crossref | GoogleScholarGoogle Scholar |

Kingwell R, Morrison DA, Bathgate A (1991) ‘MUDAS: Model of an uncertain dryland agricultural system: a description.’ (Western Australian Department of Agriculture: Perth, WA, Australia)

Kingwell RS, Morrison DA, Bathgate AD (1992) The effect of climatic risk on dryland farm management. Agricultural Systems 39, 153–175.
The effect of climatic risk on dryland farm management.Crossref | GoogleScholarGoogle Scholar |

Kingwell RS, Pannell DJ, Robinson SD (1993) Tactical responses to seasonal conditions in whole-farm planning in Western Australia. Agricultural Economics 8, 211–226.

Kopke E, Young J, Kingwell R (2008) The relative profitability and environmental impacts of different sheep systems in a Mediterranean environment. Agricultural Systems 96, 85–94.
The relative profitability and environmental impacts of different sheep systems in a Mediterranean environment.Crossref | GoogleScholarGoogle Scholar |

Lloyd A (1966) Economic aspects of stocking and feeding policies in the sheep industry in southern Australia. In ‘Proceedings of the Australian Society of Animal Production’. (Australian Society of Animal Production)

LTW (2021) Lifetime wool. Available at http://www.lifetimewool.com.au/

Malcolm B (1990) Fifty years of farm management in Australia: survey and review. Review of Marketing and Agricultural Economics 58, 24–55.

Malcolm B (2000) Farm management economic analysis: a few disciplines, a few perspectives, a few figurings, a few futures. In ‘2000 Conference (44th)’, 23–25 January 2000, Sydney, Australia. (Australian Society of Animal Production)

McArthur I, Dillon JL (1971) Risk, utility and stocking rate. Australian Journal of Agricultural Economics 15, 20–35.
Risk, utility and stocking rate.Crossref | GoogleScholarGoogle Scholar |

McDonald W, Orchard P (2015) Using DSEs and carrying capacities to compare sheep enterprises. Available at https://www.dpi.nsw.gov.au/agriculture/budgets/livestock/sheep-gross-margins-october-2015/background/dse

McLaren C (1997) ‘Dry sheep equivalents for comparing different classes of Livestock.’ (DPI)

McLean I, Blakeley S (2014) ‘Animal equivalent methodology: a methodology to accurately and consistently calculate cattle grazing loads in northern Australia.’ Project B. NBP.0779. (Meat and Livestock Australia)

McLennan SR, McLean I, Paton C (2020) ‘Re-defining the animal unit equivalence (AE) for grazing ruminants and its application for determining forage intake, with particular relevance to the northern Australian grazing industries.’ (Meat and Livestock Australia)

Meat and Livestock Australia (2020a) Australia sheep flock by state. Available at https://statistics.mla.com.au/Report/List

Meat and Livestock Australia (2020b) Stocking rate. Available at https://www.mla.com.au/research-and-development/Grazing-pasture-management/improved-pasture/grazing-management/stocking-rate/

Mitchell PJ, Brown JN (2019) What makes a ‘good’seasonal forecast? Delivering actionable climate outlooks for grains farming. In ‘Proceedings of the 2019 Agronomy Australia Conference’, 25–29 August 2019, Wagga Wagga, Australia’.

Moore AD, Donnelly JR, Freer M (1997) GRAZPLAN: Decision support systems for Australian grazing enterprises. III. Pasture growth and soil moisture submodels, and the GrassGro DSS. Agricultural Systems 55, 535–582.
GRAZPLAN: Decision support systems for Australian grazing enterprises. III. Pasture growth and soil moisture submodels, and the GrassGro DSS.Crossref | GoogleScholarGoogle Scholar |

Moore AD, Holzworth DP, Herrmann NI, Huth NI, Robertson MJ (2007) The common modelling protocol: a hierarchical framework for simulation of agricultural and environmental systems. Agricultural Systems 95, 37–48.
The common modelling protocol: a hierarchical framework for simulation of agricultural and environmental systems.Crossref | GoogleScholarGoogle Scholar |

Moore AD, Bell LW, Revell DK (2009) Feed gaps in mixed-farming systems: insights from the Grain & Graze program. Animal Production Science 49, 736–748.
Feed gaps in mixed-farming systems: insights from the Grain & Graze program.Crossref | GoogleScholarGoogle Scholar |

Oldham CM, Thompson AN, Ferguson MB, Gordon DJ, Kearney GA, Paganoni BL (2011) The birthweight and survival of Merino lambs can be predicted from the profile of liveweight change of their mothers during pregnancy. Animal Production Science 51, 776–783.
The birthweight and survival of Merino lambs can be predicted from the profile of liveweight change of their mothers during pregnancy.Crossref | GoogleScholarGoogle Scholar |

Pannell DJ (2006) Flat earth economics: the far-reaching consequences of flat payoff functions in economic decision making. Review of Agricultural Economics 28, 553–566.
Flat earth economics: the far-reaching consequences of flat payoff functions in economic decision making.Crossref | GoogleScholarGoogle Scholar |

Pannell DJ, Malcolm B, Kingwell RS (2000) Are we risking too much? Perspectives on risk in farm modelling. Agricultural Economics 23, 69–78.
Are we risking too much? Perspectives on risk in farm modelling.Crossref | GoogleScholarGoogle Scholar |

Patra A, Park T, Kim M, Yu Z (2017) Rumen methanogens and mitigation of methane emission by anti-methanogenic compounds and substances. Journal of Animal Science and Biotechnology 8, 13
Rumen methanogens and mitigation of methane emission by anti-methanogenic compounds and substances.Crossref | GoogleScholarGoogle Scholar | 28149512PubMed |

Petersen E, Schilizzi S, Bennett D (2002) An economic assessment of the role of commercial tree crops to achieve greenhouse gas neutrality in predominantly grazing systems of south-western Australia. Australian Journal of Agricultural and Resource Economics 47, 213–233.

Petersen E, Schilizzi S, Bennett D (2003) The impacts of greenhouse gas abatement policies on the predominantly grazing systems of south-western Australia. Agricultural Systems 78, 369–386.
The impacts of greenhouse gas abatement policies on the predominantly grazing systems of south-western Australia.Crossref | GoogleScholarGoogle Scholar |

Planfarm/BankWest (2016) Planfarm Bankwest Benchmarks: 2015–16. Available at http://agric.firstsoftwaresolutions.com/attachments/1215/Planfarm%20Bankwest%20Benchmarks%202015-2016%20full-report.pdf

Redfearn DD, Bidwell TG (2003) ‘Stocking rate: the key to successful livestock production.’ PSS-2871. Oklahoma Cooperative Extension Service, Oklahoma State University.

Robertson SM, Friend MA (2020) Performance of sheep systems grazing perennial pastures. 4. Simulated seasonal variation and long-term production. Animal Production Science 60, 423–435.
Performance of sheep systems grazing perennial pastures. 4. Simulated seasonal variation and long-term production.Crossref | GoogleScholarGoogle Scholar |

Robertson SM, Broster JC, Friend MA (2020) Performance of sheep systems grazing perennial pastures. 1. Pasture persistence and enterprise productivity. Animal Production Science 60, 388–405.
Performance of sheep systems grazing perennial pastures. 1. Pasture persistence and enterprise productivity.Crossref | GoogleScholarGoogle Scholar |

Rose IJ (2011) A study of labour use and efficiency for mixed sheep and crop agricultural systems of the Central Wheat Belt of Western Australia. University of Western Australia.

Sandhage-Hofmann A (2016) Rangeland management. In ‘Reference module in earth systems and environmental sciences’. (Elsevier)

Saul GR, Kearney GA (2002) Potential carrying capacity of grazed pastures in southern Australia. Wool Technology and Sheep Breeding 50, 492–498.

Scarnecchia DL (1990) Concepts of carrying capacity and susbstitution ratios: a systems viewpoint. Journal of Range Management 43, 553–555.

Sintori A (2014) Greenhouse gas mitigation options in Greek dairy sheep farming: a multi-objective programming approach. In ‘Vulnerability of agriculture, water and fisheries to climate change’. (Eds M Behnassi, M Syomiti Muteng’e, G Ramachandran, K Shelat) pp. 131–156. (Springer)
| Crossref |

Takai H, Pedersen S, Johnsen JO, Metz JHM, Groot Koerkamp PWG, Uenk GH, Phillips VR, Holden MR, Sneath RW, Short JL, White RP, Hartung J, Seedorf J, Schröder M, Linkert KH, Wathes CM (1998) Concentrations and emissions of airborne dust in livestock buildings in Northern Europe. Journal of Agricultural Engineering Research 70, 59–77.
Concentrations and emissions of airborne dust in livestock buildings in Northern Europe.Crossref | GoogleScholarGoogle Scholar |

Thamo T, Kingwell RS, Pannell DJ (2013) Measurement of greenhouse gas emissions from agriculture: economic implications for policy and agricultural producers. Australian Journal of Agricultural and Resource Economics 57, 234–252.
Measurement of greenhouse gas emissions from agriculture: economic implications for policy and agricultural producers.Crossref | GoogleScholarGoogle Scholar |

Thamo T, Addai D, Pannell DJ, Robertson MJ, Thomas DT, Young JM (2017) Climate change impacts and farm-level adaptation: economic analysis of a mixed cropping–livestock system. Agricultural Systems 150, 99–108.
Climate change impacts and farm-level adaptation: economic analysis of a mixed cropping–livestock system.Crossref | GoogleScholarGoogle Scholar |

Thomas DT, Finlayson J, Moore AD, Robertson MJ (2010) Profitability of grazing crop stubbles may be overestimated by using the metabolisable energy intake from the stubble. Animal Production Science 50, 699–704.
Profitability of grazing crop stubbles may be overestimated by using the metabolisable energy intake from the stubble.Crossref | GoogleScholarGoogle Scholar |

Thomas DT, Moore AD, Bell LW, Webb NP (2018) Ground cover, erosion risk and production implications of targeted management practices in Australian mixed farming systems: lessons from the Grain and Graze program. Agricultural Systems 162, 123–135.
Ground cover, erosion risk and production implications of targeted management practices in Australian mixed farming systems: lessons from the Grain and Graze program.Crossref | GoogleScholarGoogle Scholar |

Thompson AN, Young JM (2002) Potential economic benefits from improving ewe nutrition to optimise lifetime wool production and quality in south-west Victoria. Wool Technology and Sheep Breeding 50, 503–509.

Trompf JP, Gordon DJ, Behrendt R, Curnow M, Kildey LC, Thompson AN (2011) Participation in lifetime ewe management results in changes in stocking rate, ewe management and reproductive performance on commercial farms. Animal Production Science 51, 866–872.
Participation in lifetime ewe management results in changes in stocking rate, ewe management and reproductive performance on commercial farms.Crossref | GoogleScholarGoogle Scholar |

Trompf J, Young J, Ferguson M, Anderson G, Tocker J, Vogt S, Herbert A, Ritchie A, Hill J, Thompson A (2014) More lambs more often: bullet proofing your business against variable seasons. Rural Industries Skill Training, Hamilton Vic., Australia.

Warn LK, Geenty KG, McEachern S (2006a) What is the optimum wool-meat enterprise mix. International Journal of Sheep and Wool Science 54, 40–49.

Warn L, Webb Ware J, Salmon L, Donnelly J, Alcock D (2006b) Analysis of the profitability of sheep wool and meat enterprises in southern Australia. Sheep Co-operative Research Centre, Armidale, NSW, Australia.

White DH, Morley FHW (1977) Estimation of optimal stocking rate of merino sheep. Agricultural Systems 2, 289–304.
Estimation of optimal stocking rate of merino sheep.Crossref | GoogleScholarGoogle Scholar |

Young J, Bathgate A, Sandford P, Saul G, Friend M, Clarke S (2004a) MIDAS insights on profitably utilising perennial plants on the south coast of WA. CRC for Plant-Based Management of Dryland Salinity, Perth, WA, Australia.

Young J, Bathgate A, Saul G, Clark S, Sanford P, Friend M (2004b) MIDAS insights on profitably utilising perennial plants in Hamilton, Victoria. Report to the CRC for Plant-Based Solutions to Dryland Salinity. University of Western Australia, Perth, WA, Australia.

Young JM, Thompson AN, Curnow M, Oldham CM (2011) Whole-farm profit and the optimum maternal liveweight profile of Merino ewe flocks lambing in winter and spring are influenced by the effects of ewe nutrition on the progeny’s survival and lifetime wool production. Animal Production Science 51, 821–833.
Whole-farm profit and the optimum maternal liveweight profile of Merino ewe flocks lambing in winter and spring are influenced by the effects of ewe nutrition on the progeny’s survival and lifetime wool production.Crossref | GoogleScholarGoogle Scholar |

Young JM, Behrendt R, Curnow M, Oldham CM, Thompson AN (2016) Economic value of pregnancy scanning and optimum nutritional management of dry, single-and twin-bearing Merino ewes. Animal Production Science 56, 669–678.
Economic value of pregnancy scanning and optimum nutritional management of dry, single-and twin-bearing Merino ewes.Crossref | GoogleScholarGoogle Scholar |

Young M, Kingwell R, Young J, Vercoe P (2020) An economic analysis of sheep flock structures for mixed enterprise Australian farm businesses. Australian Journal of Agricultural and Resource Economics 64, 677–699.
An economic analysis of sheep flock structures for mixed enterprise Australian farm businesses.Crossref | GoogleScholarGoogle Scholar |