Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Sacrificial grazing of wheat crops: identifying tactics and opportunities in Western Australia’s grainbelt using simulation approaches

Lindsay W. Bell A C , John N. G. Hargreaves A , Roger A. Lawes B and Michael J. Robertson B
+ Author Affiliations
- Author Affiliations

A CSIRO Sustainable Ecosystems/APSRU, PO Box 102, Toowoomba, Qld 4350, Australia.

B CSIRO Sustainable Ecosystems, Private Bag 5, PO Wembley, WA 6913, Australia.

C Corresponding author. Email: lindsay.bell@csiro.au

Animal Production Science 49(10) 797-806 https://doi.org/10.1071/AN09014
Submitted: 19 February 2009  Accepted: 18 May 2009   Published: 16 September 2009

Abstract

Failing grain crops are sometimes sacrificed for grazing by mixed farmers, a decision involving a complex range of factors. This simulation study used two APSIM (Agricultural Production Systems Simulator)-based approaches to investigate the circumstances under which more revenue might be obtained by sacrificing a wheat crop for grazing rather than harvesting it for grain in Western Australia’s grainbelt. First, we developed a simple partial budget calculation to estimate and compare revenue from grain or grazing alternatives using data for grain yield and standing biomass at flowering. This was simulated for a factorial of soil types and locations varying in mean annual rainfall. We then simulated wheat quality and livestock production on spring wheat grazed at different stages of crop development and at a range of stocking rates. Dynamic simulations of grazing showed that livestock production increased as grazing was delayed; stocking rate had little impact at this time. Grazing earlier necessitated lighter stocking rates but surprisingly had little benefit for animal performance. Partial budgets showed that under average commodity prices, grazing a wheat crop could be more profitable 40–75% of the time on poorer soil types in lower rainfall environments. In these situations, by tactically grazing when grain yield is below a critical level economic returns could be increased by more than A$50/ha in 30–40% of years and over the long term average revenues could be increased by A$30/ha.year. This critical grain yield ranged from 1.3 to 1.7 t/ha on shallow gravel soil and 1.9 to 2.2 t/ha on a deep sand. In higher rainfall environments and on better soil types grazing was rarely a better option unless livestock prices were high relative to grain. This approach, combining crop simulation with partial budgets, was useful for developing simple management rules for a complex system. Overall, the findings of this study suggest that making tactical use of a wheat crop for forage in situations with low grain yield prospects is a major opportunity to increase profitability and help respond to climate variability in mixed farms in many areas of the Western Australian wheatbelt.

Additional keywords: APSIM, economics, feed quality, livestock production, modelling.


Acknowledgements

We thank Jeremy Whish for assistance with data analysis and Neil Huth for providing data used for validation of the APSIM-Wheat model. Thanks must also go to Dean Thomas, Peter Stone and Yvette Oliver for providing useful comments on a previous draft. This research was conducted as part of the Grain and Graze National Feedbase project, which was jointly funded by Grains Research and Development Corporation, Meat and Livestock Australia, Australian Wool Innovation, and Land and Water Australia.


References


ABARE (2007) ‘Australian Commodity Statistics 2007.’ (Australian Bureau of Agricultural and Resource Economics: Canberra) Available at http://www.abareconomics.com/interactive/acs_dec07 [Verified 10 August 2009]

Akin DE, Kimball BA, Windham WR, Pinter PJ, Wall GW, Garcia RL, LaMorte RL, Morrison WH (1995) Effect of free-air CO2 enrichment (FACE) on forage quality of wheat. Animal Feed Science and Technology 53, 29–43.
Crossref | GoogleScholarGoogle Scholar | [Verified 10 August 2009]

Freer M, Moore AD, Donnelly JR (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.
Crossref | GoogleScholarGoogle Scholar | [Verified 10 August 2009]

Jeffrey SJ, Carter JO, Moodie KB, Beswick AR (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling & Software 16, 309–330.
Crossref | GoogleScholarGoogle Scholar | [Verified August 2009]

Kirkegaard JA, Sprague SJ, Dove H, Kelman WM, Marcroft SJ, Lieschke A, Howe GN, Graham JM (2008) Dual-purpose canola – a new opportunity in mixed farming systems. Australian Journal of Agricultural Research 59, 291–302.
Crossref | GoogleScholarGoogle Scholar | [Verified 5 June 2008]

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.
Crossref | GoogleScholarGoogle Scholar | [Verified 10 August 2009]

Pearce GR, Beard J, Hilliard EP (1979) Variability in the chemical composition of cereal straws and in-vitro digestibility with and without sodium hydroxide treatment. Australian Journal of Experimental Agriculture and Animal Husbandry 19, 350–353.
Crossref | GoogleScholarGoogle Scholar | [Verified 10 August 2009]

Virgona JM, Gummer FAJ, Angus JF (2006) Effects of grazing on wheat growth, yield, development, water use, and nitrogen use. Australian Journal of Agricultural Research 57, 1307–1319.
Crossref | GoogleScholarGoogle Scholar | [Verified 10 August 2009]