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000042752 0247_ $$2DOI$$a10.1111/j.1469-8137.2005.01323.x
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000042752 084__ $$2WoS$$aPlant Sciences
000042752 1001_ $$0P:(DE-Juel1)VDB23736$$aMinchin, P. E. H.$$b0$$uFZJ
000042752 245__ $$aNew understanding on phloem physiology and possible consequences to modelling long-distance carbon transport
000042752 260__ $$aOxford [u.a.]$$bWiley-Blackwell$$c2005
000042752 300__ $$a771 - 779
000042752 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000042752 440_0 $$04600$$aNew Phytologist$$v166$$x0028-646X
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000042752 520__ $$aMost current models of assimilate carbohydrate partitioning are based on growth patterns observed under a range of experimental conditions, from which a set of empirical rules are derived to simulate partitioning. As a result, they are not good at extrapolating to other conditions; this requires a mechanistic approach, which only transport-resistance (TR) models currently provide. We examine an approach to incorporating recent progress in phloem physiology into the TR approach, which leads to a 'minimalist' Munch model of a branched system with competing sinks. In vivo whole-plant measurements have demonstrated that C-flow rates are dependent not only on the properties of the sink, but also on the properties of the whole transport system, and the detailed dynamics of this behaviour is mimicked by the proposed model. This model provides a sound theoretical framework for an unambiguous definition of sink and source strengths, with sink priority being an emergent property of the model. Further developments are proposed, some of which have already had limited application, to cope with the complexity of plants; the emphasis is on a modular approach, together with the importance of choosing the appropriate scale level for both structure and function. Whole-plant experiments with in vivo measurement of the phloem dynamics will be needed to help with this choice.
000042752 536__ $$0G:(DE-Juel1)FUEK257$$2G:(DE-HGF)$$aChemie und Dynamik der Geo-Biosphäre$$cU01$$x0
000042752 588__ $$aDataset connected to Web of Science, Pubmed
000042752 650_2 $$2MeSH$$aBiological Transport, Active
000042752 650_2 $$2MeSH$$aCarbon: metabolism
000042752 650_2 $$2MeSH$$aModels, Biological
000042752 650_2 $$2MeSH$$aPlant Components, Aerial: physiology
000042752 650_2 $$2MeSH$$aPlants: growth & development
000042752 650_2 $$2MeSH$$aPlants: metabolism
000042752 650_7 $$07440-44-0$$2NLM Chemicals$$aCarbon
000042752 650_7 $$2WoSType$$aJ
000042752 65320 $$2Author$$agrowth modelling
000042752 65320 $$2Author$$aMunch flow
000042752 65320 $$2Author$$apriority
000042752 65320 $$2Author$$asource and sink strength
000042752 65320 $$2Author$$asource-sink interactions
000042752 7001_ $$0P:(DE-HGF)0$$aLacointe, A.$$b1
000042752 773__ $$0PERI:(DE-600)1472194-6$$a10.1111/j.1469-8137.2005.01323.x$$gVol. 166, p. 771 - 779$$p771 - 779$$q166<771 - 779$$tThe @new phytologist$$v166$$x0028-646X$$y2005
000042752 8567_ $$uhttp://dx.doi.org/10.1111/j.1469-8137.2005.01323.x
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000042752 9141_ $$y2005
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