Cotton (Gossypium hirsutum L.) has a complex architecture resulting from an intricate pattern of development, which strongly influences its ability to capture resources. Computational modelling can play a part in increasing our understanding of the processes intrinsic to the cotton cropping system at the level of individual branches, leaves and bolls. Such studies may be made for many different purposes, which greatly influences the level of abstraction in the models of underlying function. If the structural models are to be used in scientific visualisation applications or as a platform for further simulations, an empirical model of structure that captures physiological effects under particular environmental conditions may be sufficient. If an understanding of factors affecting physiology of individual plants interacting within stands is desired, functional-structural models of aggregate activity of a component type within the plant are appropriate, for instance treating roots, leaves and stem as separate biomass compartments. If details of the physiological mechanisms driving plant development are being investigated, then the functional level must be at the component scale, for instance, incorporating the contribution of individual leaves in controlling or enabling apical development.
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