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

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Genetics-based dynamic systems model of canopy photosynthesis: the key to improve light and resource use efficiencies for crops. / Song, Qingfeng; Chu, Chengcai; Parry, Martin A. J. et al.
In: Food and Energy Security, Vol. 5, No. 1, 02.2016, p. 18-25.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Song Q, Chu C, Parry MAJ, Zhu X. Genetics-based dynamic systems model of canopy photosynthesis: the key to improve light and resource use efficiencies for crops. Food and Energy Security. 2016 Feb;5(1):18-25. Epub 2016 Jan 4. doi: 10.1002/fes3.74

Author

Song, Qingfeng ; Chu, Chengcai ; Parry, Martin A. J. et al. / Genetics-based dynamic systems model of canopy photosynthesis : the key to improve light and resource use efficiencies for crops. In: Food and Energy Security. 2016 ; Vol. 5, No. 1. pp. 18-25.

Bibtex

@article{d86c8adc2f7d42fcb490dd0ebf41ad79,
title = "Genetics-based dynamic systems model of canopy photosynthesis: the key to improve light and resource use efficiencies for crops",
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.",
keywords = "Canopy photosynthesis, design crop systems, genetics-based model of canopy photosynthesis, heterogeneity, microclimates",
author = "Qingfeng Song and Chengcai Chu and Parry, {Martin A. J.} and Xin-guang Zhu",
year = "2016",
month = feb,
doi = "10.1002/fes3.74",
language = "English",
volume = "5",
pages = "18--25",
journal = "Food and Energy Security",
issn = "2048-3694",
publisher = "Wiley-Blackwell Publishing Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Genetics-based dynamic systems model of canopy photosynthesis

T2 - the key to improve light and resource use efficiencies for crops

AU - Song, Qingfeng

AU - Chu, Chengcai

AU - Parry, Martin A. J.

AU - Zhu, Xin-guang

PY - 2016/2

Y1 - 2016/2

N2 - 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.

AB - 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.

KW - Canopy photosynthesis

KW - design crop systems

KW - genetics-based model of canopy photosynthesis

KW - heterogeneity

KW - microclimates

U2 - 10.1002/fes3.74

DO - 10.1002/fes3.74

M3 - Journal article

VL - 5

SP - 18

EP - 25

JO - Food and Energy Security

JF - Food and Energy Security

SN - 2048-3694

IS - 1

ER -