Staff Scientist

Basic Information
>> Group Head: Zhu Xinguang
>> Research Area: Plant Systems Biology
>> Group Secretary: Wang Sisi
>> Contact Email: wangsisi0825@163.com

Qingfeng Song


Qingfeng Song


Staff Scientist


Room: 106


Tel: 54920496


Email: songqingfengpicb.ac.cn


Date of Arrival: 2014-05-01


Education


B.S. – Shanghai Jiao Tong University, Shanghai 06/2009


Major – Bioinformatics


Ph.D. – CAS-MPG Partner Institute for Computational Biology  Department: Plant Systems Biology.


Publications and Posters


Song QF, Zhang G and Zhu X-G (2013) Optimal crop canopy architecture to maximise canopy photosynthetic CO2  uptake under elevated CO2  – a theoretical study using a mechanistic model of canopy photosynthesis. Functional Plant Biology 40(2) 108-124. Functional Plant Biology 40:108-124.


Zhu X-G, Song QF, Ort DR (2012) Elements of a dynamic systems model of canopy photosynthesis. Current Opinion in Plant Biology 15: 237-44.


Zhu X-G, Zhang G, Tholen D, Wang Y, Xin C, Song Q (2011) The next generation models for crops and agro-ecosystems. Science China: Information Sciences 54:1-9.


Stefan Jaeger, Qingfeng Song and Su-Shing Chen. (2009) DYNAMIK: a software environment for cell DYNAmics, Motility, and Information tracKing, with an application to Ras pathways. Bioinformatics. 25 (18), 2383-2388


Research


My thesis research investigates the canopy photosynthesis on current and future climates. Canopy photosynthesis directly related to the crop yield, and it is determined by canopy structure, leaf photosynthesis and microclimate in canopy. I am working on modeling the canopy photosynthesis and intend to predict the optimum canopy features, such as optimum structure and optimum Chlorophyll concentration under certain environment. I also develop some tools to measure the canopy microclimates, i.e. light, CO2, leaf temperature, air temperature, and canopy photosynthetic CO2  uptake rate. My work will (1) build the canopy photosynthesis model that combined with leaf level photosynthetic properties, (2) identify and characterize the advantage of lower Chlorophyll canopies with simulations and experiments.