An operations research approach to the problem of the sugarcane selection
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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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.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||agriculture; optimisation; simulation; stochastic models|
|Date Deposited:||30 Jul 2012 04:11|
|FoR Codes:||06 BIOLOGICAL SCIENCES > 0607 Plant Biology > 060799 Plant Biology not elsewhere classified @ 100%|
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100%|