001     42752
005     20180210131415.0
024 7 _ |2 pmid
|a pmid:15869640
024 7 _ |2 DOI
|a 10.1111/j.1469-8137.2005.01323.x
024 7 _ |2 WOS
|a WOS:000228750700009
037 _ _ |a PreJuSER-42752
041 _ _ |a eng
082 _ _ |a 580
084 _ _ |2 WoS
|a Plant Sciences
100 1 _ |a Minchin, P. E. H.
|b 0
|u FZJ
|0 P:(DE-Juel1)VDB23736
245 _ _ |a New understanding on phloem physiology and possible consequences to modelling long-distance carbon transport
260 _ _ |a Oxford [u.a.]
|b Wiley-Blackwell
|c 2005
300 _ _ |a 771 - 779
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a New Phytologist
|x 0028-646X
|0 4600
|v 166
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a Most 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.
536 _ _ |a Chemie und Dynamik der Geo-Biosphäre
|c U01
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK257
|x 0
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Biological Transport, Active
650 _ 2 |2 MeSH
|a Carbon: metabolism
650 _ 2 |2 MeSH
|a Models, Biological
650 _ 2 |2 MeSH
|a Plant Components, Aerial: physiology
650 _ 2 |2 MeSH
|a Plants: growth & development
650 _ 2 |2 MeSH
|a Plants: metabolism
650 _ 7 |0 7440-44-0
|2 NLM Chemicals
|a Carbon
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a growth modelling
653 2 0 |2 Author
|a Munch flow
653 2 0 |2 Author
|a priority
653 2 0 |2 Author
|a source and sink strength
653 2 0 |2 Author
|a source-sink interactions
700 1 _ |a Lacointe, A.
|b 1
|0 P:(DE-HGF)0
773 _ _ |a 10.1111/j.1469-8137.2005.01323.x
|g Vol. 166, p. 771 - 779
|p 771 - 779
|q 166<771 - 779
|0 PERI:(DE-600)1472194-6
|t The @new phytologist
|v 166
|y 2005
|x 0028-646X
856 7 _ |u http://dx.doi.org/10.1111/j.1469-8137.2005.01323.x
909 C O |o oai:juser.fz-juelich.de:42752
|p VDB
913 1 _ |k U01
|v Chemie und Dynamik der Geo-Biosphäre
|l Chemie und Dynamik der Geo-Biosphäre
|b Environment (Umwelt)
|0 G:(DE-Juel1)FUEK257
|x 0
914 1 _ |y 2005
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |k ICG-III
|l Phytosphäre
|d 31.12.2006
|g ICG
|0 I:(DE-Juel1)VDB49
|x 0
970 _ _ |a VDB:(DE-Juel1)59746
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBG-2-20101118
981 _ _ |a I:(DE-Juel1)ICG-3-20090406


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