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Physiological mechanisms in plant growth models: do we need a supra‐cellular systems biology approach?
Author(s) -
POORTER HENDRIK,
ANTEN NIELS P. R.,
MARCELIS LEO F. M.
Publication year - 2013
Publication title -
plant, cell and environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 200
eISSN - 1365-3040
pISSN - 0140-7791
DOI - 10.1111/pce.12123
Subject(s) - plant growth , limiting , biomass partitioning , computer science , benchmark (surveying) , photosynthesis , biological system , process (computing) , biochemical engineering , biology , ecology , biomass (ecology) , engineering , mechanical engineering , botany , geodesy , geography , operating system
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 CO 2 , 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.