Literature DB >> 23611725

Physiological mechanisms in plant growth models: do we need a supra-cellular systems biology approach?

Hendrik Poorter1, Niels P R Anten, Leo F M Marcelis.   

Abstract

In the first part of this paper, we review the extent to which various types of plant growth models incorporate ecophysiological mechanisms. Many growth models have a central role for the process of photosynthesis; and often implicitly assume C-gain to be the rate-limiting step for biomass accumulation. We subsequently explore the extent to which this assumption actually holds and under what condition constraints on growth due to a limited sink strength are likely to occur. By using generalized dose-response curves for growth with respect to light and CO₂, models can be tested against a benchmark for their overall performance. In the final part, a call for a systems approach at the supra-cellular level is made. This will enable a better understanding of feedbacks and trade-offs acting on plant growth and its component processes. Mechanistic growth models form an indispensable element of such an approach and will, in the end, provide the link with the (sub-)cellular approaches that are yet developing. Improved insight will be gained if model output for the various physiological processes and morphological variables ('virtual profiling') is compared with measured correlation networks among these processes and variables. Two examples of these correlation networks are presented.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  dose-response curves; evolutionary stable strategy; photosynthesis; plant growth; simulation; source-sink interaction

Mesh:

Year:  2013        PMID: 23611725     DOI: 10.1111/pce.12123

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  14 in total

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Review 6.  Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.

Authors:  Fabiana F Moreira; Hinayah R Oliveira; Jeffrey J Volenec; Katy M Rainey; Luiz F Brito
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7.  Environmental triggers for photosynthetic protein turnover determine the optimal nitrogen distribution and partitioning in the canopy.

Authors:  Yi-Chen Pao; Tsu-Wei Chen; Dany Pascal Moualeu-Ngangue; Hartmut Stützel
Journal:  J Exp Bot       Date:  2019-04-29       Impact factor: 6.992

8.  The effect of irradiance on the carbon balance and tissue characteristics of five herbaceous species differing in shade-tolerance.

Authors:  Thijs L Pons; Hendrik Poorter
Journal:  Front Plant Sci       Date:  2014-02-04       Impact factor: 5.753

9.  Temperature and water stress affect plant-pollinator interactions in Borago officinalis (Boraginaceae).

Authors:  Charlotte Descamps; Muriel Quinet; Aurélie Baijot; Anne-Laure Jacquemart
Journal:  Ecol Evol       Date:  2018-02-23       Impact factor: 2.912

10.  Multiscale digital Arabidopsis predicts individual organ and whole-organism growth.

Authors:  Yin Hoon Chew; Bénédicte Wenden; Anna Flis; Virginie Mengin; Jasper Taylor; Christopher L Davey; Christopher Tindal; Howard Thomas; Helen J Ougham; Philippe de Reffye; Mark Stitt; Mathew Williams; Robert Muetzelfeldt; Karen J Halliday; Andrew J Millar
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-02       Impact factor: 11.205

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