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Titlebook: Mathematical Modelling in Plant Biology; Richard J. Morris Book 2018 Springer Nature Switzerland AG 2018 Computational biology.Mathematica

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楼主: 瘦削
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Modelling Ion Channels,heir growth and shape via changes in hydraulic pressure which in turn can be modulated by changes in ionic concentrations that drive osmosis. We present an introduction to mathematical modelling of ionic currents and transmembrane voltages, both intracellular and intercellular. We introduce the mode
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Modelling the Plant Microtubule Cytoskeleton,his chapter we introduce the plant cortical microtubule array. This structure is both a nexus in the control of plant cell shape and function, and a fascinating out-of-equilibrium system for state-of-the-art physics research. We describe how analytical and computational approaches complement each ot
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Modeling Plant Tissue Growth and Cell Division,y molecular regulatory and signaling networks interact with growth to create organ shape, often in unintuitive ways. Computer simulation modeling is becoming an increasingly important tool to aid our understanding of these complex interactions. In this chapter we introduce computational approaches f
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Flowering Time as a Model Trait to Bridge Proximate and Evolutionary Questions,stand this developmental trait in the context of evolution, the synthesis of molecular/genetic studies and ecology/evolutionary studies is necessary. In this chapter, we present a mathematical approach for synthesizing this body of knowledge to consider different flowering strategies. We model plant
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All But Sleeping? Consequences of Soil Seed Banks on Neutral and Selective Diversity in Plant Specis from the interaction between three factors: the effective population size, natural selection and the rate of recombination. All three factors are influenced by the occurrence of long dormant stages (seed banking or seed persistence), which is an evolutionary bet hedging strategy and a key characte
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