Connecting biochemical photosynthesis models with crop models to support crop improvement

Wu, Alex, Song, Youhong, Van Oosterom, Erik J. and Hammer, Graeme L. (2016) Connecting biochemical photosynthesis models with crop models to support crop improvement. Frontiers in Plant Science, 7 OCTOBER2016: . doi:10.3389/fpls.2016.01518

Author Wu, Alex
Song, Youhong
Van Oosterom, Erik J.
Hammer, Graeme L.
Title Connecting biochemical photosynthesis models with crop models to support crop improvement
Journal name Frontiers in Plant Science   Check publisher's open access policy
ISSN 1664-462X
Publication date 2016-10-13
Year available 2016
Sub-type Critical review of research, literature review, critical commentary
DOI 10.3389/fpls.2016.01518
Open Access Status DOI
Volume 7
Issue OCTOBER2016
Total pages 16
Place of publication Lausanne, Switzerland
Publisher Frontiers Research Foundation
Language eng
Subject 1110 Plant Science
Abstract The next advance in field crop productivity will likely need to come from improving crop use efficiency of resources (e.g., light, water, and nitrogen), aspects of which are closely linked with overall crop photosynthetic efficiency. Progress in genetic manipulation of photosynthesis is confounded by uncertainties of consequences at crop level because of difficulties connecting across scales. Crop growth and development simulation models that integrate across biological levels of organization and use a gene-to-phenotype modeling approach may present a way forward. There has been a long history of development of crop models capable of simulating dynamics of crop physiological attributes. Many crop models incorporate canopy photosynthesis (source) as a key driver for crop growth, while others derive crop growth from the balance between source- and sink-limitations. Modeling leaf photosynthesis has progressed from empirical modeling via light response curves to a more mechanistic basis, having clearer links to the underlying biochemical processes of photosynthesis. Cross-scale modeling that connects models at the biochemical and crop levels and utilizes developments in upscaling leaf-level models to canopy models has the potential to bridge the gap between photosynthetic manipulation at the biochemical level and its consequences on crop productivity. Here we review approaches to this emerging cross-scale modeling framework and reinforce the need for connections across levels of modeling. Further, we propose strategies for connecting biochemical models of photosynthesis into the cross-scale modeling framework to support crop improvement through photosynthetic manipulation.
Keyword Biochemical photosynthesis model
Canopy photosynthesis
Crop improvement
Crop model
Cross-scale modeling
Photosynthesis light response
Specific leaf nitrogen
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
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Queensland Alliance for Agriculture and Food Innovation
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