Genetics-based dynamic systems model of canopy photosynthesis:the key to improve light and resource use efficiencies for crops

Song, Qingfeng and Chu, Chengcai and Parry, Martin A. J. and Zhu, Xin-guang (2016) Genetics-based dynamic systems model of canopy photosynthesis:the key to improve light and resource use efficiencies for crops. Food and Energy Security, 5 (1). pp. 18-25. ISSN 2048-3694

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Abstract

Improving canopy photosynthetic light use efficiency instead of leaf photosynthesis holds great potential to catalyze the next “green revolution”. However, leaves in a canopy experience different biochemical limitations due to the heterogeneities of microclimates and also physiological parameters. Mechanistic dynamic systems models of canopy photosynthesis are now available which can be used to design the optimal canopy architectural and physiological parameters to maximize CO2 uptake. Rapid development of modern crop genetics research now makes it possible to link such canopy models with genetic variations of crops to develop genetics-based dynamic systems models of canopy photosynthesis. Such models can guide marker-assisted breeding or genomic selection or engineering of crops to enhance light and nitrogen use efficiencies for different regions under future climate change scenarios.

Item Type:
Journal Article
Journal or Publication Title:
Food and Energy Security
Subjects:
ID Code:
84208
Deposited By:
Deposited On:
23 Jan 2017 17:04
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Sep 2020 02:36