Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH FRONT

FutureDairy: a national, multidisciplinary project to assist dairy farmers to manage future challenges – methods and early findings

Sergio C. García A D , William J. Fulkerson A , Ruth Nettle B , Sean Kenny A and Daniel Armstrong C
+ Author Affiliations
- Author Affiliations

A MC Franklin Laboratory, Faculty of Veterinary Science, University of Sydney, Camden, NSW 2570, Australia.

B Faculty of Land and Food Resources, The University of Melbourne, Parkville, Vic. 3010, Australia.

C Primary Industries Research Victoria, Ellinbank, Vic. 3820, Australia.

D Corresponding author. Email: sgarcia@usyd.edu.au

Australian Journal of Experimental Agriculture 47(9) 1025-1031 https://doi.org/10.1071/EA06064
Submitted: 10 April 2006  Accepted: 13 December 2006   Published: 6 August 2007

Abstract

FutureDairy is a national, multidisciplinary project designed to assist Australian dairy farmers to manage future challenges. FutureDairy is exploring technical, economic and social aspects of technology adoption through an innovative approach that combines methodologies of social research (‘People’), extension (‘System’) and technical research (‘Science’). The technologies being investigated revolve around increasing forage production per unit of land through a complementary forage rotation; evaluating the most efficient use of brought-in feed to increase milk production per ha; and, the incorporation of automatic milking and other technological innovations that would either reduce labour input or allow more precise agriculture. The central strategy of FutureDairy is to utilise ‘knowledge partnerships’ to co-develop knowledge around each of the key areas of investigation; thus a key feature of the project is its linkage with commercial ‘partner’ farmers that explore similar questions to those being investigated at Elizabeth Macarthur Agricultural Institute (NSW Department of Primary Industries), where the technical research is being undertaken. This paper focuses on early findings from the forages module. Work thus far has shown that forage yields in excess of 40 t DM/ha.year are achievable. However, the practicalities of implementing this technology on-farm have already identified new and diverse issues that, unless understood, will jeopardise its effective adaptation by farmers.


Acknowledgements

The four major investors in FutureDairy are the NSW Department of Primary Industries, Dairy Australia, The University of Sydney and DeLaval. The University of Melbourne, the Department of Primary Industries Victoria and The Dairy Research Foundation also provided financial support. The authors would like to thank Dr Carolyn Kabore for comments on the manuscript.


References


ABARE (2006) ‘Australian Dairy Industry: Productivity and Profit.’ (Australian Bureau of Agricultural and Resource Economics. Dairy Australia: Melbourne)

de Koning K, Rudenburg J (2004) Automatic milking: state of the art in Europe and North America. In ‘Automatic Milking: a better understanding’. (Eds A Meijering, H Hogeveen, CJAM de Koning) pp. 27–37. (Wageningen Academic Publishers: Wageningen, The Netherlands)

Fillery IRP (2001) The fate of biologically fixed nitrogen in legume-based dryland farming systems: a review. Australian Journal of Experimental Agriculture 41, 361–381.
CrossRef | open url image1

Fulkerson WJ, Slack K, Bryant R, Wilson F (2003) Selection for more persistent perennial ryegrass (Lolium perenne) cultivars for subtropical/warm temperate dairy regions of Australia. Australian Journal of Experimental Agriculture 43, 1083–1091.
CrossRef | open url image1

García SC, Fulkerson WJ (2005) Opportunities for future Australian dairy systems: a review. Australian Journal of Experimental Agriculture 45, 1041–1055.
CrossRef | open url image1

García SC, Fulkerson WJ, Kenny S, Nettle R (2006) Producing over 40 t dry matter/ha per year through a complementary forage rotation system. Proceedings of the New Zealand Grassland Association 68, 69–73. open url image1

Kenny S, Nettle R (2006) Knowledge partnerships 2: extension juggling multidisciplinarity in the field – early learnings from the FutureDairy project. In ‘Proceedings of the 2006 APEN international conference, Beechworth, Victoria’. Available at http://www.regional.org.au/au/apen/2006/refereed/3/2923_kennysn.htm [Verified 18 June 2007]

Kirkegaard JA, Matthiessen J (2004) Developing and refining the biofumigation concept. Agroindustria 3, 233–280. open url image1

Kisielewitz B, Ashwood A (1998) ‘Feedbase survey: improving dairy farm profitability and lifestyle through whole farm management. Project 20/21.’ (NSW Department of Agriculture: Orange, NSW)

Larcombe MT (1989) The effects of manipulating reproduction on the productivity and profitability of dairy herds which graze pasture. PhD Thesis, University of Melbourne, Australia.

Malagoli P, Laine P, Rossato L, Ourry A (2005) Dynamics of nitrogen uptake and mobilization in field-grown winter oilseed rape (Brassica napus) from stem extension to harvest. II. An 15N-labelling-based simulation model of N partitioning between vegetative and reproductive tissues. Annals of Botany 95, 1187–1198.
CrossRef | PubMed | open url image1

Mason W, Kelly K, Blaikie S, Stockdale R (1987) New directions for irrigated pastures. In ‘Proceedings of the 4th Australian agronomy conference’. pp. 100–117.

McCall DG, Sheath GW, Pleasants AB (1994) The role of systems research in animal science. Proceedings of the New Zealand Society of Animal Production 54, 417–421. open url image1

Merrill SD, Tanaka DL, Hanson JD (2002) Root length growth of eight crop species in haplustoll soils. Soil Science Society of America Journal 66, 913–923. open url image1

Morra MJ, Kirkegaard JA (2002) Isothiocyanate release from soil-incorporated Brassica tissues. Soil Biology & Biochemistry 34, 1683–1690.
CrossRef | open url image1

Neal J, Fulkerson WJ, Lawrie R, Nandra K, Horadagoda A, Beale P, Kingston H, Looby P, Van Kouterik W, Lam D (2005) Development of a more suitable forage base for the dairy industry. In ‘Proceedings of the 2005 Dairy Research Foundation symposium, Camden, NSW’. pp. 65–72.

Nettle R, Kenny S (2006) Knowledge partnerships 1: what can knowledge partnerships offer agricultural industries? – early learnings from the FutureDairy project. In ‘Proceedings of the 2006 APEN international conference, Beechworth, Victoria’. Available at http://www.regional.org.au/au/apen/2006/refereed/3/2921_nettler.htm [Verified 18 June 2007]

Nettle RA, Paine MS (2003) Respect for Extension in Farming Systems Research: findings from the Dairy Industry. In ‘1st Australian farming systems conference, Toowoomba, Queensland’. p. 11. Available at http://afsa.asn.au/cgi-bin/afsapapers/display.cgi [Verified 23 May 2007]

Paine MS, Nettle RA, Coats S (2004) Countering knowledge markets in agri-systems. In ‘Organisational knowledge and learning conference, Austria’. p. 15.

Pritchard KE (1987) Potential productivity of irrigated maize in northern Victoria. In ‘Proceedings of the 4th Australian agronomy conference’. p. 314.

Rodgers EM (1983) ‘Diffusion of innovations.’ 3rd edn. (Free Press: New York)

Spain G (2005) Producing over 20 t DM/ha from ryegrass. In ‘Proceedings of the 2005 Dairy Research Foundation symposium, Camden, NSW’. pp. 60–63.

Shepherd T, Davies HV (1993) Carbon loss from the roots of forage rape (Brassica napus L.) seedlings following pulse-labelling with 14CO2. Annals of Botany 72, 155–163.
CrossRef | open url image1

Teixeira SR, Chamala SA, Cowan RT, Western M (2004) Participatory approach for the identification of dairy industry needs in the design of research, development and extension actions: Australian and Brazilian case studies. Australian Journal of Experimental Agriculture 44, 521–530.
CrossRef | open url image1

Williams SM, Weil RR (2004) Crop cover root channels may alleviate soil compaction effects on soybean crop. Soil Science Society of America Journal 68, 1403–1409. open url image1









1 UDDER is a whole farm system model (Larcombe 1989). It incorporates feeding strategies and pasture growth and management variables, proving effective for exploring relationships between management inputs, milk production and gross margins for pasture-based systems.

2 Red Sky is a privately developed farm financial analysis and benchmarking program.


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