IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v97y2008i3p126-138.html
   My bibliography  Save this article

Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 2. Inter-annual variation in forage supply, and business risk

Author

Listed:
  • Chapman, D.F.
  • Kenny, S.N.
  • Beca, D.
  • Johnson, I.R.

Abstract

Inter-annual climatic variability poses a substantial management and profitability challenge for pasture-based dairy producers in southern Australia. The effects of a range of seasonal scenarios on the production and profit of non-irrigated dairy farm systems using several different forage bases were investigated for two regions in southeast Australia using a systems modeling approach. For the Terang district, seasonal scenarios were constructed around combinations of early, average or late autumn rains, and short, average or long spring flushes. For the higher-rainfall Ellinbank district, scenarios were constructed around either above- or below-average summer-autumns or winter-springs. Compared to the 'Base' system where 100% of the grazing area was in perennial ryegrass (Lolium perenne), alternative systems such as double cropping and use of a summer shoulder (more summer-active) pasture based on tall fescue (Festuca arundinacea) returned similar or higher profit for most of the seasonal scenarios investigated. Only at Terang when the autumn rains were early and the spring was extended within the same year did the alternatives lose out to perennial ryegrass in predicted profit, reflecting the well-known excellent performance of perennial ryegrass in environments with a long growing season. Within each of the forage systems simulated, the profit outcomes were generally more consistent in the face of seasonal perturbations for the double cropping and summer shoulder pasture forage options than for those based on ryegrass. This suggests they are less prone to business risk. It reflects the apparent consistency across years of the yield of winter cereal during the period April-October when there is generally only small departure from 'average' conditions for plant growth between years. It also reflects the deeper effective rooting habit of tall fescue, and its ability to access more stored water in the soil profile compared to perennial ryegrass and thus greater capacity to 'ride out' periods of variability. Pasture growth analyses using climate data from 1900 to 1999 inclusive showed that above- or below-average conditions for plant growth in autumn and spring occur at frequencies between two and four years out of 10. Thus, all combinations of poorer than average or better than average seasons can be expected in any decade. This investigation suggests that diversification of the forage base will help smooth out between-year variability in profit provided the right forage types are selected, managed to a very high level, and effectively integrated within year-round feeding systems to achieve high milk production.

Suggested Citation

  • Chapman, D.F. & Kenny, S.N. & Beca, D. & Johnson, I.R., 2008. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 2. Inter-annual variation in forage supply, and business risk," Agricultural Systems, Elsevier, vol. 97(3), pages 126-138, June.
  • Handle: RePEc:eee:agisys:v:97:y:2008:i:3:p:126-138
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(08)00003-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. van de Ven, G.W.J. & van Keulen, H., 2007. "A mathematical approach to comparing environmental and economic goals in dairy farming: Identifying strategic development options," Agricultural Systems, Elsevier, vol. 94(2), pages 231-246, May.
    2. Berentsen, P. B. M. & Giesen, G. W. J., 1995. "An environmental-economic model at farm level to analyse institutional and technical change in dairy farming," Agricultural Systems, Elsevier, vol. 49(2), pages 153-175.
    3. Chapman, D.F. & Kenny, S.N. & Beca, D. & Johnson, I.R., 2008. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance," Agricultural Systems, Elsevier, vol. 97(3), pages 108-125, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chapman, D.F. & Kenny, S.N. & Lane, N., 2011. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia: 3. Estimated economic value of additional home-grown feed," Agricultural Systems, Elsevier, vol. 104(8), pages 589-599, October.
    2. Bilotto, Franco & Recavarren, Paulo & Vibart, Ronaldo & Machado, Claudio F., 2019. "Backgrounding strategy effects on farm productivity, profitability and greenhouse gas emissions of cow-calf systems in the Flooding Pampas of Argentina," Agricultural Systems, Elsevier, vol. 176(C).
    3. Matthew J. Bell & Brendan R. Cullen & Ian R. Johnson & Richard J. Eckard, 2012. "Modelling Nitrogen Losses from Sheep Grazing Systems with Different Spatial Distributions of Excreta," Agriculture, MDPI, vol. 2(4), pages 1-13, September.
    4. Berger, Horacio & Bilotto, Franco & Bell, Lindsay W. & Machado, Claudio F., 2017. "Feedbase intervention in a cow-calf system in the flooding pampas of Argentina: 2. Estimation of the marginal value of additional feed," Agricultural Systems, Elsevier, vol. 158(C), pages 68-77.
    5. Vogeler, Iris & Vibart, Ronaldo & Cichota, Rogerio, 2017. "Potential benefits of diverse pasture swards for sheep and beef farming," Agricultural Systems, Elsevier, vol. 154(C), pages 78-89.
    6. Ojeda, J.J. & Pembleton, K.G. & Islam, M.R. & Agnusdei, M.G. & Garcia, S.C., 2016. "Evaluation of the agricultural production systems simulator simulating Lucerne and annual ryegrass dry matter yield in the Argentine Pampas and south-eastern Australia," Agricultural Systems, Elsevier, vol. 143(C), pages 61-75.
    7. Catalina Fernández Rosso & Franco Bilotto & Andrea Lauric & Gerónimo A. De Leo & Carlos Torres Carbonell & Mauricio A. Arroqui & Claus G. Sørensen & Claudio F. Machado, 2021. "An innovation path in Argentinean cow–calf operations: Insights from participatory farm system modelling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(4), pages 488-502, August.
    8. Fariña, S.R. & Alford, A. & Garcia, S.C. & Fulkerson, W.J., 2013. "An integrated assessment of business risk for pasture-based dairy farm systems intensification," Agricultural Systems, Elsevier, vol. 115(C), pages 10-20.
    9. Smith, Andrew P. & Western, Andrew W., 2013. "Predicting nitrogen dynamics in a dairy farming catchment using systems synthesis modelling," Agricultural Systems, Elsevier, vol. 115(C), pages 144-154.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Le Gal, P.-Y. & Dugué, P. & Faure, G. & Novak, S., 2011. "How does research address the design of innovative agricultural production systems at the farm level? A review," Agricultural Systems, Elsevier, vol. 104(9), pages 714-728.
    2. Flaten, O. & Bakken, A.K. & Randby, Å.T., 2015. "The profitability of harvesting grass silages at early maturity stages: An analysis of dairy farming systems in Norway," Agricultural Systems, Elsevier, vol. 136(C), pages 85-95.
    3. Groeneveld, Rolf A. & Wesseler, Justus & Berentsen, Paul B.M., 2013. "Dominos in the dairy: An analysis of transgenic maize in Dutch dairy farming," Ecological Economics, Elsevier, vol. 86(C), pages 107-116.
    4. Graeme J. Doole & Alvaro J. Romera & Alfredo A. Adler, 2012. "A Mathematical Optimisation Model of a New Zealand Dairy Farm: The Integrated Dairy Enterprise (IDEA) Framework," Working Papers in Economics 12/01, University of Waikato.
    5. Berentsen, Paul B.M. & Hendriksen, Astrid & Heijman, Wim J.M. & van Vlokhoven, Haske A., 2007. "Costs and benefits of on-farm nature conservation," Ecological Economics, Elsevier, vol. 62(3-4), pages 571-579, May.
    6. Ramsden, S. & Gibbons, J. & Wilson, P., 1999. "Impacts of changing relative prices on farm level dairy production in the UK," Agricultural Systems, Elsevier, vol. 62(3), pages 201-215, December.
    7. Lally, Breda & van Rensburg, Tom M., 2014. "Reducing nitrogen applications on Irish dairy farms: effectiveness and efficiency of different strategies," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(1), October.
    8. Lelyon, Baptiste & Daniel, Karine & Chatellier, Vincent, 2008. "Decoupling and prices: determinant of dairy farmers’ choices? A model to analyse impacts of the 2003 CAP reform," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44250, European Association of Agricultural Economists.
    9. van Calker, K.J. & Berentsen, P.B.M. & de Boer, I.J.M. & Giesen, G.W.J. & Huirne, R.B.M., 2007. "Modelling worker physical health and societal sustainability at farm level: An application to conventional and organic dairy farming," Agricultural Systems, Elsevier, vol. 94(2), pages 205-219, May.
    10. van de Ven, G.W.J. & van Keulen, H., 2007. "A mathematical approach to comparing environmental and economic goals in dairy farming: Identifying strategic development options," Agricultural Systems, Elsevier, vol. 94(2), pages 231-246, May.
    11. Johannes B. (Hans) Schiere & Pablo Gregorini, 2023. "Complexity, Crash and Collapse of Chaos: Clues for Designing Sustainable Systems, with Focus on Grassland-Based Systems," Sustainability, MDPI, vol. 15(5), pages 1-43, February.
    12. van Boxmeer, Emma & Modernel, Pablo & Viets, Theo, 2021. "Environmental and economic performance of Dutch dairy farms on peat soil," Agricultural Systems, Elsevier, vol. 193(C).
    13. Leonardo, Wilson & van de Ven, Gerrie W.J. & Kanellopoulos, Argyris & Giller, Ken E., 2018. "Can farming provide a way out of poverty for smallholder farmers in central Mozambique?," Agricultural Systems, Elsevier, vol. 165(C), pages 240-251.
    14. Groot, Jeroen C.J. & Rossing, Walter a.H. & Tichit, Muriel & Turpin, Nadine & Jellema, André & Baudry, Jacques & Verburg, Peter & Doyen, Luc & van de Ven, Gerrie, 2009. "On the contribution of modelling to multifunctional agriculture: learning from comparisons," MPRA Paper 65467, University Library of Munich, Germany.
    15. Stirling, Sofía & Fariña, Santiago & Pacheco, David & Vibart, Ronaldo, 2021. "Whole-farm modelling of grazing dairy systems in Uruguay," Agricultural Systems, Elsevier, vol. 193(C).
    16. Angus, A.J. & Hodge, I.D. & Sutton, M.A., 2006. "Ammonia abatement strategies in livestock production: A case study of a poultry installation," Agricultural Systems, Elsevier, vol. 89(1), pages 204-222, July.
    17. van Calker, K.J. & Berentsen, P.B.M. & Giesen, G.W.J. & Huirne, R.B.M., 2008. "Maximising sustainability of Dutch dairy farming systems for different stakeholders: A modelling approach," Ecological Economics, Elsevier, vol. 65(2), pages 407-419, April.
    18. Briner, Simon & Finger, Robert, 2012. "Bio-economic modelling of decisions under yield and price risk for suckler cow farms," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122547, European Association of Agricultural Economists.
    19. van Calker, Klaas Jan & Berentsen, Paul B.M. & De Boer, Imke J.M. & Giesen, G.W.J. & Huirne, Ruud B.M., 2003. "An LP-Model to Analyse Economic and Ecological Sustainability in Dutch Dairy Farming," 14th Congress, Perth, Western Australia, August 10-15, 2003 24361, International Farm Management Association.
    20. Vayssières, Jonathan & Guerrin, François & Paillat, Jean-Marie & Lecomte, Philippe, 2009. "GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises Part I - Whole-farm dynamic model," Agricultural Systems, Elsevier, vol. 101(3), pages 128-138, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:97:y:2008:i:3:p:126-138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.