Economic analysis of integrated management of wild oats involving fallow, herbicide and crop rotational options

1997 ◽  
Vol 37 (6) ◽  
pp. 683 ◽  
Author(s):  
R. Jones ◽  
R. Medd

Summary. The primary objective of this study was to estimate the economic benefits associated with an integrated weed management approach for wild oats (Avena fatua and A. ludoviciana) in northern New South Wales involving chemical and non-chemical controls. The paper presents a framework for assessing the population dynamics of wild oats and the economics of a range of control options over 15 years. Wild oats is a weed primarily of winter crops which, as a consequence of its persistence and its impact upon yields, leads to significant economic losses in the grain growing regions of Australia. In this study, a dynamic programming model is developed to examine the impact of a range of management strategies for the control of wild oats in wheat. The strategies evaluated include conventional herbicide control to reduce weed densities, the use of selective herbicides to reduce seed set of the weed, and summer crop and winter fallow rotational options which provide a break in the cereal cycle and allow accelerated control of wild oat populations. The hypothesis for the study, that strategies which involve measures that directly reduce seed production and minimise wild oats seed bank populations will yield the greatest economic benefit, is acceptable based on the findings of the study. The work also shows that a dynamic programming model provides a means of determining the optimal combination of strategies over time for various initial values of the seed bank. The methodology is considered to have general application as a framework for evaluating the economics of weed control problems in annual cropping systems.

1992 ◽  
Vol 14 (1) ◽  
pp. 9 ◽  
Author(s):  
JGI Passmore ◽  
CG Brown

Small property size is often cited as one of the major causes of rangeland degradation in Australia. However, there is some conjecture as to the importance of this effect and the process by which small property sizes lead to rangeland degradation. Relatively little empirical analysis of these issues has been undertaken, especially in a dynamic context which is all important in the case of rangeland degradation. Regression and dynamic programming techniques are employed in this study to investigate and measure the impact of property sizes on the use and state of one of Australia's most important rangelands, the Queensland mulga rangeland. Regression analysis of cross sectional data reveals significant correlations between property size, stocking rate and degradation. These correlations are confirmed in a normative stochastic dynamic programming model which demonstrates that it is economically optimal for graziers managing smaller properties to adopt higher stocking rates. For these graziers, the longterm costs of land degradation are exceeded by short-term financial benefits of heavier stocking. Thus government policy aimed at arresting the serious degradation occurring in the mulga rangelands should focus on measures to facilitate property build-up..


2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
YiHua Zhong ◽  
ShiMing Luo ◽  
Min Bao ◽  
XiaoDie Lv

When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logistics system was constructed based on our proposed vertices structure uncertainty graph and the uncertainty of logistics nodes. Thirdly, the dynamic programming model of the underground logistics system was established, and its solution algorithm was also designed by improving simulated annealing. Finally, the correctness and feasibility of the method was validated by using a numerical example of the underground logistics system in Xianlin district, Nanjing City in China.


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