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Presentation
Best management strategies in the Australian dairy industry using multiple linear regression techniques
Mike Steele (2007)
  • Daniel Zamykal, james cook university
  • Mike Steele, james cook university
  • Don Kerr, Griffith University
  • Janet Chaseling, Griffith University
Abstract

Dairy farmers in Australia are under increasing pressure to demonstrate that their production systems are environmentally friendly (Armstrong et al. 2000). These farmers need assistance in evaluating the impact on their profitability of a range of environmental and social management practices. In 2000, the Australian Dairy Research and Development Corporation conducted a large-scale telephone survey of 1826 Australian dairy farms to examine current on-farm management practices in relation to milk production and farm and farmer demographics (DRDC 2001). The questionnaire results from the 196 dairy farms in the sub-tropical region of South East Queensland and Northern New South Wales were analysed in three steps. Firstly, multiple linear regression models were produced for all dairy farms within the region. Secondly, farms that produced less than 750kL per annum were treated as a separate population and a specific model was developed for these cases. Finally, farms that produced in excess of 750 kilolitres (kL) were analyzed and a linear model was developed for members of this population. An important outcome of the analysis was the construction of management profiles of farmers in different milk production classes, in particular, identification of the specific management practices which define a farmer’s ability to produce optimal yield.

Keywords
  • multiple linear regression models,
  • dairy farms
Publication Date
January 1, 2007
Citation Information
Daniel Zamykal, Mike Steele, Don Kerr and Janet Chaseling. "Best management strategies in the Australian dairy industry using multiple linear regression techniques" Mike Steele (2007)
Available at: http://works.bepress.com/mike_steele/3/