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RESEARCH ARTICLE

Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 1. Rationale, systems design and management

D. F. Chapman A B F , J. Hill A C , J. Tharmaraj A , D. Beca D , S. N. Kenny E and J. L. Jacobs E
+ Author Affiliations
- Author Affiliations

A Department of Agriculture and Food Systems, Melbourne School of Land and Environment, University of Melbourne, Parkville, Vic. 3010, Australia.

B DairyNZ, PO Box 160, Lincoln University, Lincoln 7647, New Zealand.

C Ternes Agricultural Consulting, Upwey, Vic. 3158, Australia.

D Red Sky Agricultural Pty Ltd, PO Box 956, Bacchus Marsh, Vic. 3340, Australia.

E Department of Primary Industries, 78 Henna Street, Warrnambool, Vic. 3280, Australia.

F Corresponding author. Email: David.Chapman@dairynz.co.nz

Animal Production Science 54(3) 221-233 https://doi.org/10.1071/AN12295
Submitted: 22 August 2012  Accepted: 21 February 2013   Published: 16 January 2014

Abstract

The profitability of dairy businesses in southern Australia is closely related to the amount of feed consumed from perennial ryegrass-dominant pasture. Historically, the dairy industry has relied on improvements in pasture productivity and utilisation to support profitable increases in stocking rate and milk production per hectare. However, doubts surround the extent to which the industry can continue to rely on perennial ryegrass technology to provide the necessary productivity improvements required into the future. This paper describes the design and management of a dairy systems experiment at Terang in south-west Victoria (780-mm average annual rainfall) conducted over four lactations (June 2005–March 2009) to compare the production and profitability of two forage base options for non-irrigated dairy farms. These options were represented by two self-contained farmlets each milking 36 mixed-age, autumn-calving Holstein-Friesian cows at peak: (1) well managed perennial ryegrass pasture (‘Ryegrass Max’, or ‘RM’); and (2) perennial ryegrass plus complementary forages (‘CF’) including 15% of farmlet area under double cropping with annual species (winter cereal grown for silage followed by summer brassica for grazing on the same land) and an average of 25% of farmlet area in perennial pasture based on tall fescue for improved late spring–early summer feed supply. The design of these systems was informed by farming systems models (DairyMod, UDDER and Redsky), which were used to estimate the effects of introducing different forage options on farm profitability. The design of the CF system was selected based on modelled profitability increases assuming that all forage components could be managed to optimise forage production and be effectively integrated to optimise milk production per cow. Using the historical ‘average’ pasture growth curve for the Terang district and a mean milk price of $3.71 per kg milk solids, the models estimated that the return on assets of the RM and CF systems would be 9.4 and 15.0%, respectively. The objectives of the experiment described here were to test whether or not such differences in profitability could be achieved in practice, and to determine the risks associated with including complementary forages on a substantial proportion of the effective farm area. Key results of the experiment are presented in subsequent papers.

Additional keywords: pasture, profitability.


References

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