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Title: Methodology for assessing optimal rates of pasture improvement in the high rainfall temperate pasture zone
Contributor(s): Behrendt, K (author); Cacho, OJ (author)orcid ; Scott, JM (author); Jones, R (author)
Publication Date: 2006
DOI: 10.1071/EA05337
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Abstract: Pasture improvement is a well-established technology for increasing production in extensive livestock grazing industries by changing pasture composition and increasing soil fertility. The Cicerone Project farmlets located at Chiswick Research Station, near Armidale in New South Wales, are providing valuable information at a credible scale on the response to 3 different management systems varying in levels of inputs and grazing management. The purpose of this paper is to outline a methodology for assessing farmlet performance in such studies. The assessment focuses on the stochastic efficiency of the different treatments. The impact of pasture persistence, climatic risk, and stochastic commodity prices on optimal rates of farm development are explored by using preliminary data from the Cicerone farmlets to calibrate the GrassGro model. The farmlets modelled represent 2 technology packages. One is a moderate-input package and the other is a high-input package. Preliminary analysis indicates that direct comparison of the 2 farmlets may produce the wrong assessment, because 1 farmlet is operating at a suboptimal level of efficiency in a stochastic sense. This means that direct comparisons of technologies based on the field data may be biased as the technologies should be evaluated at the risk-efficient frontier. The concept of a risk efficient frontier is explained and applied to aid in identifying the trade-offs between profit and risk, and identify differences in the efficiency of the 2 farmlets.
Publication Type: Journal Article
Source of Publication: Australian Journal of Experimental Agriculture, 46(7), p. 845-849
Publisher: CSIRO Publishing
Place of Publication: Victoria, Australia
ISSN: 0816-1089
Field of Research (FOR): 140201 Agricultural Economics
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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