An Operations Research Approach to the Problem of the Sugarcane Selection

Vanja Calija (), Andrew Higgins, Phillip Jackson, Leone Bielig and Danny Coomans

Annals of Operations Research, 2001, vol. 108, issue 1, 123-142

Abstract: Selection for superior clones is the most important aspect of sugar cane improvement programs, and is a long and expensive process. While studies have investigated different components of selection independently, there has not been a whole system approach to improve the process. This study observes the problem as an integrated system, where if one parameter changes the state of the whole system changes. A computer based stochastic simulation model that accurately represents the selection was developed. This paper describes the simulation model, showing its accuracy as well as how a combination of dynamic programming and branch and bound can be applied to the model to optimise the selection system, giving a new application of these techniques. The model can be directly applied to any region targeted by sugarcane breeding programs or to other clonally propagated crops. Copyright Kluwer Academic Publishers 2001

Keywords: optimisation; simulation; stochastic models; agriculture (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1023/A:1016054911470

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