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024 7 _ |2 pmid
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024 7 _ |2 DOI
|a 10.1146/annurev.arplant.59.032607.092819
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|a 0066-4294
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037 _ _ |a PreJuSER-1848
041 _ _ |a eng
082 _ _ |a 580
084 _ _ |2 WoS
|a Biochemistry & Molecular Biology
084 _ _ |2 WoS
|a Plant Sciences
100 1 _ |a Walter, A.
|b 0
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245 _ _ |a Environmental Effects on Spatial and Temporal Patterns of Leaf and Root Growth
260 _ _ |c 2009
|a Palo Alto, Calif.
|b Annual Reviews Inc.
300 _ _ |a 279 - 304
336 7 _ |a Journal Article
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440 _ 0 |a Annual Review of Plant Biology
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500 _ _ |a The authors' work was supported by the Forschungszentrum Julich in the Helmholtz Association and grants from the German Science Foundation (DFG) and the Alexander von Humboldt Foundation. Thanks to Barry Osmond, Mark Stitt, Ernst Detlef Schulze, and Bernd Jahne for generating unique interdisciplinary ground in ecology, physiology, molecular biology, and physics. Special thanks to Hanno Scharr for essential contributions through development of image sequence analysis useful for plant scientists, and to all members of the workgroups contributing to the insight in root and leaf growth patterns through experiments, concepts, and discussions. Thanks to the U.S. National Science Foundation and Department of Agriculture for support to the laboratory of WS. over the years, to the Kearney Foundation of Soil Science for funding rhizosphere research, and to Michelle Watt for an inspiring sabbatical collaboration.
520 _ _ |a Leaves and roots live in dramatically different habitats, but are parts of the same organism. Automated image processing of time-lapse records of these organs has led to understanding of spatial and temporal patterns of growth on time scales from minutes to weeks. Growth zones in roots and leaves show distinct patterns during a diel cycle (24 h period). In dicot leaves under nonstressful conditions these patterns are characterized by endogenous rhythms, sometimes superimposed upon morphogenesis driven by environmental variation. In roots and monocot leaves the growth patterns depend more strongly on environmental fluctuations. Because the impact of spatial variations and temporal fluctuations of above- and belowground environmental parameters must be processed by the plant body as an entire system whose individual modules interact on different levels, growth reactions of individual modules are often highly nonlinear. A mechanistic understanding of plant resource use efficiency and performance in a dynamically fluctuating environment therefore requires an accurate analysis of leaf and root growth patterns in conjunction with knowledge of major intraplant communication systems and metabolic pathways.
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588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Plant Leaves: growth & development
650 _ 2 |2 MeSH
|a Plant Roots: growth & development
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a growth analysis
653 2 0 |2 Author
|a image processing
653 2 0 |2 Author
|a carbohydrate metabolism
653 2 0 |2 Author
|a environmental control
653 2 0 |2 Author
|a plant-environment interactions
700 1 _ |a Silk, W.K.
|b 1
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700 1 _ |a Schurr, U.
|b 2
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773 _ _ |0 PERI:(DE-600)1470469-9
|a 10.1146/annurev.arplant.59.032607.092819
|g Vol. 60, p. 279 - 304
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|t Annual Review of Plant Biology
|v 60
|x 1040-2519
|y 2009
856 7 _ |u http://dx.doi.org/10.1146/annurev.arplant.59.032607.092819
856 4 _ |u https://juser.fz-juelich.de/record/1848/files/FZJ-1848.pdf
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914 1 _ |y 2009
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