Roose, T. (2000) Mathematical model of plant nutrient uptake. PhD thesis, University of Oxford.

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Abstract
This thesis deals with the mathematical modelling of nutrient uptake by plant roots. It starts with the NyeTinkerBarber model for nutrient uptake by a single bare cylindrical root. The model is treated using matched asymptotic expansion and an analytic formula for the rate of nutrient uptake is derived for the first time. The basic model is then extended to include root hairs and mycorrhizae, which have been found experimentally to be very important for the uptake of immobile nutrients. Again, analytic expressions for nutrient uptake are derived. The simplicity and clarity of the analytical formulae for the solution of the single root models allows the extension of these models to more realistic branched roots. These models clearly show that the `volume averaging of branching structure' technique commonly used to extend the NyeTinkerBarber with experiments can lead to large errors. The same models also indicate that in the absence of largescale water movement, due to rainfall, fertiliser fails to penetrate into the soil. This motivates us to build a model for water movement and uptake by branched root structures. This model considers the simultaneous flow of water in the soil, uptake by the roots, and flow within the root branching network to the stems of the plant. The water uptake model shows that the water saturation can develop pseudosteadystate wet and dry zones in the rooting region of the soil. The dry zone is shown to stop the movement of nutrient from the top of the soil to the groundwater. Finally we present a model for the simultaneous movement and uptake of both nutrients and water. This is discussed as a new tool for interpreting available experimental results and designing future experiments. The parallels between evolution and mathematical optimisation are also discussed.
Item Type:  Thesis (PhD) 

Subjects:  O  Z > Partial differential equations A  C > Biology and other natural sciences A  C > Approximations and expansions H  N > Numerical analysis 
Research Groups:  Oxford Centre for Industrial and Applied Mathematics Centre for Mathematical Biology 
ID Code:  39 
Deposited By:  Eprints Administrator 
Deposited On:  10 Mar 2004 
Last Modified:  29 May 2015 18:15 
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