Genetics‐based dynamic systems model of canopy photosynthesis: the key to improve light and resource use efficiencies for crops. (4th January 2016)

• Record Type: Journal Article
• Authors: Song, Qingfeng; Chu, Chengcai; Parry, Martin A. J.; Zhu, Xin‐Guang
• Is Part Of: Food and energy security. Volume 5:Number 1(2016:Jul.)
• Page Start: 18
• Page End: 25
• Publication Date: 2016-01-04
• Subjects: Canopy photosynthesis -- design crop systems -- genetics‐based model of canopy photosynthesis -- heterogeneity -- microclimates; Climatic changes -- Periodicals; Crop improvement -- Periodicals; Food security -- Periodicals; Energy security -- Periodicals; Biology -- Periodicals; 333.9505
• DOI: 10.1002/fes3.74
• Languages: English
• ISSNs: 2048-3694

Abstract

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. Abstract : 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 region under future climate change scenarios.