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作物表型组学系列学术报告(十五)
作者:毛江美   来源:    日期: 2018-08-10   浏览次数:

一.时间:2018年8月13日(周一)上午9:00

二.地点:生科楼E1001

三.日程安排

时间

内容

9:00-9:25

Plant Phenotyping at crossroads   technologies, demands, networks and future challenges

报告人:Ulrich Schurr,德国尤里科学研究中心

9:25-9:50

Wheat phenotyping under field condition

报告人:Frédéric  BARET,法国农业科学院

9:50-10:15

Machine Learning Based  Phenotypic Analyses for Predicting Crop Yield and Quality

报告人:周济,英国厄勒姆研究院、南京农业大学

10:15-10:25

中场休息

10:25-10:50

Identification of regulatory variants in plants to  help genomephenome  association studies

报告人:吴玉峰,南京农业大学

10:50-11:15

Benefits of the spatial and spectral details from  ground-based hyperspectral imaging for crop monitoring

报告人:程涛,南京农业大学

11:15-11:40

Wheat phenotyping in silico

报告人:刘守阳,法国农业科学院

(每个报告25分钟,其中20分钟报告、5分钟交流)

  

四.报告人简介(按姓氏字母排序)

Ulrich  Schurr, Forschungszentrum Jülich, Germany

Prof. Uli studied biology at the  University of Bayreuth (Germany) and gained his Ph.D in plant sciences form the  same university. He then became group leader at the Botanical Institute at  University of Heidelberg. He was the founding director of the Institute of Plant  Sciences at Forschungszentrum Jülich (Germany) and the Institute for  Phytosphere at Heinrich-Heine University Düsseldorf in 2001. Since then he held  numerous positions in national and international science institutions and  coordinated several major scientific programs including e.g. the Executive Board  of the European Technology Platform Plants for the Future (chairman 2015-2017),  the Helmholtz Program Key Technologies for the Bioeconomy (speaker) and the  Bioeconomy Science Centre (BioSC; Speaker). He has initiated and coordinated  important national and international program in plant phenotyping like the  German Plant Phenotyping Network (DPPN), the European Plant Phenotyping Network  (EPPN) and the International Plant Phenotyping Network (IPPN, Chair). Since 2016  he coordinates the ESFRI project EMPHASIS - European Infrastructure for  multi-scale Plant Phenomics and Simulation for food security in a changing  climate.

Frederic Baret, INRA,  France

Prof. Fred received a PhD in the  use of Remote sensing for crop monitoring in 1986. He is currently a research  Director at INRA, leading the remote sensing team. He coordinated several  National and European projects. He is involved in the development of radiative  transfer models at several scales (soil, leaf, canopy) and their use for the  retrieval of vegetation biophysical variables. He recently expanded his activity  on high throughput phenotyping with the development of measurement systems as  well as interpretation methods. He is in charge of the development of  phenotyping methods in field conditions within the French Plant Phenotyping  Network (PHENOME) project. This includes the application of IoTs, Phenomobiles  (fully automatic robot rover) as well as the development of drone observations.  He authored more than 220 research papers (h=50 from WoK).

  

Ji Zhou, Earlham Institute,  UK/Nanjing Agricultural University, China

Dr Ji Zhou received his  industry-funded PhD in Computer Science in 2011 at the University of East Anglia  (UEA, Norwich) UK. Currently, he is a project leader of crop phenomics at the  Biotechnology and Biological Sciences Research Council (BBSRC, UK) strategically  funded Earlham Institute (EI). He is also a Senior Lecturer of Computer Vision  (Hon.) in the school of computing sciences at UEA as well as a Professor of Crop  Phenomics at PPRC, NAU China.

Zhou’s laboratory at EI focuses  on automatic in-field and indoor phenotyping on important crops such as wheat  and rice. His laboratory carries out a range of multi-scale phenotypic analyses  using state-of-the-art technologies, including high-throughput image analysis,  computer vision, in-field remote sensing, and machine-learning related  algorithms.

  

Yufeng Wu, Nanjing  Agricultural University, China

Prof. Wu received a PhD in  Genetics in 2008 at Chinese Academy of Sciences in Beijing. His research focuses  on the Bioinformatics and Epigenomics in Plants, for example, Characterization  of histone modifications in rice centromere using ChIP-chip. He is now the  director of Bioinformatics Centre in Nanjing Agricultural University, working on  genome informatics and plant phenomics.

  

Tao Cheng, Nanjing  Agricultural University, China

Prof. Cheng is a remote sensing  specialist at the National Engineering and Technology Center (NETCIA). His  academic training in Canada and the United States was in the field of  hyperspectral remote sensing for vegetation dynamics with specialization in  spectroscopic estimation of biophysical and biochemical parameters. After  joining the NETCIA, his research interests have been focused on growth  monitoring and productivity prediction for rice and wheat crops. A major part of  his current work lies in: 1) developing ground- and UAV-based platforms for  rapid monitoring of agronomic traits (e.g., leaf area index and nitrogen  content) and early detection of crop disease; 2) transforming multispectral and  hyperspectral imaging techniques in remote sensing of vegetation to field-based  plant phenotyping; 3) understanding the spectral responses to crop growth in  normal and stress conditions and developing novel algorithms for crop  monitoring. These research lines are closely linked to growth diagnosis and  regulation for precision crop cultivation purposes. He was appointed Jiangsu  Distinguished Professor in 2014 and was elected to IEEE Senior Member in  2016.

  

Shouyang Liu, INRA,  France

Shouyang Liu is a post-doc  researcher in INRA, France with Fred Baret in UMT-CAPTE lab and Francois Tardieu  and Pierre Martre in LEPSE lab. Now he is part time working with Fred in  phenotyping center, NAU.

  

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