Randall Jones
Cooperative Research Centre
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Featured researches published by Randall Jones.
Animal Production Science | 2013
Karl Behrendt; Oscar J. Cacho; J. M. Scott; Randall Jones
This study addresses the problem of balancing the trade-offs between the need for animal production, profit, and the goal of achieving persistence of desirable species within grazing systems. The bioeconomic framework applied in this study takes into account the impact of climate risk and the management of pastures and grazing rules on the botanical composition of the pasture resource, a factor that impacts on livestock production and economic returns over time. The framework establishes the links between inputs, the state of the pasture resource and outputs, to identify optimal pasture development strategies. The analysis is based on the application of a dynamic pasture resource development simulation model within a seasonal stochastic dynamic programming framework. This enables the derivation of optimum decisions within complex grazing enterprises, over both short-term tactical (such as grazing rest) and long-term strategic (such as pasture renovation) time frames and under climatic uncertainty. The simulation model is parameterised using data and systems from the Cicerone Project farmlet experiment. Results indicate that the strategic decision of pasture renovation should only be considered when pastures are in a severely degraded state, whereas the tactical use of grazing rest or low stocking rates should be considered as the most profitable means of maintaining adequate proportions of desirable species within a pasture sward. The optimal stocking rates identified reflected a pattern which may best be described as a seasonal saving and consumption cycle. The optimal tactical and strategic decisions at different pasture states, based on biomass and species composition, varies both between seasons and in response to the imposed soil fertility regime. Implications of these findings at the whole-farm level are discussed in the context of the Cicerone Project farmlets.
Animal Production Science | 2013
Karl Behrendt; J. M. Scott; Oscar J. Cacho; Randall Jones
The application of fertilisers to pastures in the high rainfall regions of southern Australia has contributed to large increases in carrying capacity following the widespread adoption of the practice since the late 1940s. Recently, large shifts in the worldwide demand for fertiliser inputs have lead to large rises in the cost of fertiliser inputs. These increasing costs have significant potential ramifications on the future management of soil fertility and its interaction with the persistence and profitability of sown pastures, especially during periods of climatic uncertainty. A dynamic pasture resource development simulation model was used to investigate the implications of fertiliser rates and costs on the efficient management of soil fertility under climatic uncertainty. The framework also allowed the investigation of how the management of soil fertility interacts with the utilisation of pasture resources through different stocking rates. In the application of this method to the Cicerone Project farmlets case study, fertiliser input costs were found to influence the optimal combination of fertiliser inputs and stocking rate. Analyses of the dynamic interaction between fertiliser application and cost, stocking rate and the persistence of desirable species enabled the identification of the most risk-efficient strategies. The implications for grazing industries in the high rainfall regions of southern Australia are discussed.
Animal Production Science | 2006
Karl Behrendt; Oscar J. Cacho; J. M. Scott; Randall Jones
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.
Agricultural Systems | 2002
D.T Vere; Randall Jones; M.H Campbell
Abstract The economic productivity of native pasture systems on the New South Wales tablelands has undergone significant change over the past 40 years. The continued modification by landholders of native pastures with fertilisers and introduced species has been an important contributing factor. Using the economic methods of productivity analysis and linear programming, this paper investigates the extent of native pasture productivity change and the relative economic returns to four general native pasture systems. The results quantify declining productivity trends in native pastures overall, but also establish that the native pasture type systems based on high-quality indigenous species can yield good economic returns under sound management. Some implications of these results for research into and the promotion of native pasture systems are discussed.
Agricultural Economics | 2005
Randall Jones; D. T. Vere; Y. Alemseged; R. W. Medd
Archive | 2009
Wendy Gong; Jack A. Sinden; Mike Braysher; Randall Jones
Agricultural Economics | 2000
Randall Jones; D.T. Vere; M.H. Campbell
Agricultural Economics | 2006
Randall Jones; Oscar J. Cacho; Jack A. Sinden
2000 Conference (44th), January 23-25, 2000, Sydney, Australia | 2000
Oscar J. Cacho; Randall Jones
Agricultural Systems | 2016
Karl Behrendt; Oscar J. Cacho; J. M. Scott; Randall Jones