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- W2026578645 abstract "Advances in genomic science make it desirable to include genomic controls in soil-plant-atmosphere-continuum (SPAC) models by methods proposed in this paper. Molecular genetic concepts suggest that a differential equation similar to ones used in neural networks can be used to model single-gene elements of larger systems. Natural modifications to the equation incorporate temperature dependency. Multi-gene components based on this element function as Boolean logic gates, linear arithmetic units, delays, differentiators, integrators, oscillators, coincidence detectors, and bi-stable devices. Related genetic circuitry from real organisms is shown. Genomic integration with SPAC models entails whole-plant modeling with realistic morphology. Plants are networks of parts, iterated in time and space under genetic control, that induce and modulate conservative SPAC mass/energy flows. Network developmental rules can be stated as Lindenmayer grammars whose symbols represent plant parts programmed as software objects. A structure is presented for simulators based on these concepts. The discussion argues that prior object-oriented plant modeling approaches (i) do not reflect how plants actually develop morphologically and (ii) may represent processes in tactically unwise ways at a time when genomics is advancing knowledge of process interactions. Finally, genomics and expanding computing power redefine concepts of model “simplicity” and “complexity” to favor increased realism." @default.
- W2026578645 created "2016-06-24" @default.
- W2026578645 creator A5008744466 @default.
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- W2026578645 date "2005-12-01" @default.
- W2026578645 modified "2023-09-28" @default.
- W2026578645 title "Merging genomic control networks and soil-plant-atmosphere-continuum models" @default.
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