Calija, Vanja, Higgins, Andrew J., Jackson, Phillip A., Bielig, Leone M., and Coomans, Danny (2001) An operations research approach to the problem of the sugarcane selection. Annals of Operations Research, 108 (1-4). pp. 123-142.

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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.

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