Department of Crop Information

YANG Wanneng
2020-10-28
 

CURRICULUM VITAE

 

Personal Information

 

Name

Wanneng Yang

Gender

Male

Position Title

Professor

Working Department

College of Plant Science & Technology,  National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research

Email

ywn@mail.hzau.edu.cn

Address

No.1, Shizishan Rd., Wuhan 430070, P. R. China

Tel

+86-15871800820

Fax

+86-27-87287092

Research Interest

The major interest in recent years is crop phenomics and agricultural photonics. The research areas include high-throughput rice phenotyping techniques, optical imaging, and computers in agriculture.

Professional Memberships

2018.12-, professor, College of Plant Science & Technology, Huazhong Agricultural University.

2017.08 - 2018.08Visiting scholar, Aberystwyth University, UK

2014.01 -2018.11, Associated professor, College of Engineering, Huazhong Agricultural University.

2011.07 - 2013.12Lecturer, Huazhong Agricultural University.

Other Roles

International Plant Phenotyping Network (IPPN) member

Chinese Optical Society member

Chinese Society of Agricultural Engineering member

Professional committee of Chinese Plant Phenotyping Network (CPPN)

Associate Editor of Plant Phenomics

Education & Working Experience

9, 2002 - 7, 2006 Bachelor degree, Biomedical Engineering, Huazhong University of Science and Technology, China.

9, 2006 - 6, 2011 Ph. D. degree, Biomedical Engineering, Huazhong University of Science and Technology, China.

Publications

2020

1. Haitao Li, Hui Feng, Chaocheng Guo, Shanjing Yang, Wan Huang, Xiong Xiong, Jianxiao Liu, Guoxing Chen, Qian Liu, Lizhong Xiong, Kede Liu and Wanneng Yang*. High-throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed. Plant Biotechnology Journal, 2020 https://doi.org/10.1111/pbi.13396

2. Nunzio Briglia, Kevin Williams, Dan Wu, Yaochen Li, Sha Tao, Fiona Corke, Giuseppe Montanaro*, Angelo Petrozza, Davide Amato, Francesco Cellini, John H. Doonan, Wanneng Yang and Vitale Nuzzo. Image-based assessment of drought response in grapevines. Frontiers in Plant Science, 2020, 11:595.

3. Wanneng Yang*, Hui Feng, Xuehai Zhang, Jian Zhang, John H. Doonan, William David Batchelor, Lizhong Xiong, Jianbing Yan. Crop phenomics and high-throughput phenotyping: past decades, current challenges and future perspectives. Molecular Plant, 2020, 13, 187–214.

4. Weijuan Hu, Can Zhang, Yuqiang Jiang, Chenglong Huang, Qian Liu, Lizhong Xiong, Wanneng Yang* and Fan Chen*. Nondestructive 3D image analysis pipeline to extract rice grain traits using x-ray computed tomography. Plant Phenomics, 2020, https://doi.org/10.34133/2020/3414926

5. Lejun Yu, Jiawei Shi, Chenglong Huang, Lingfeng Duan, Di Wu, Debao Fu, Changyin Wu, Lizhong Xiong, Wanneng Yang*, Qian Liu*. An integrated rice panicle phenotyping method based on X-ray and RGB scanning and deep learning. The Crop Journal 2020. https://doi.org/10.1016/j.cj.2020.06.009 

6. Baoqi Li, Lin Chen, Weinan Sun, Di Wu, Maojun Wang, Yu Yu, Guoxing Chen, Wanneng Yang, Zhongxu Lin, Xianlong Zhang, Lingfeng Duan* and Xiyan Yang*. Phenomics-based GWAS analysis reveals the genetic architecture for drought resistance in cotton. Plant Biotechnology Journal 2020, doi: 10.1111/pbi.13431

7. Hui Zhang, Hui Feng, Xu Lu, Chaofan Wang, Wanneng Yang and Feng Li*. An asymmetric bulge enhances artificial microRNA-mediated virus resistance. Plant Biotechnology Journal, 2020, 18: 608-610.

8. Jian Zhang, Biquan Zhao, Chenghai Yang, Yeyin Shi, Qingxi Liao, Guangsheng Zhou, Chufeng Wang, Tianjin Xie, Zhao Jiang, Dongyan Zhang, Wanneng Yang, Chenglong Huang* and Jing Xie*. Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks. Front. Plant Sci. 2020, 11:617. doi: 10.3389/fpls.2020.00617

9. Weizhi Qi, Lei Yao*, Yunchao Jiang, Na Huang, Heng Guo, Jian Rong, Hui Feng, Wanneng Yang and Lei Xi*. Quantitative Photoacoustic Imaging of Chlorophyll Using a GPU-Accelerated Finite Element Method. Commun. Comput. Phys. 2020, 28: 679-690. doi: 10.4208/cicp.OA-2017-0248

 

2019

10. Di Wu, Zilong Guo, Junli Ye, Hui Feng, Jianxiao Liu, Guoxing Chen, Jingshan Zheng, Dongmei Yan, Xiaoquan Yang, Xiong Xiong, Qian Liu, Zhiyou Niu, Alan P. Gay, John H. Doonan, Lizhong Xiong, and Wanneng Yang*. Combining high-throughput micro-CT-RGB phenotyping and genome-wide association study to dissect the genetic architecture of tiller growth in rice. Journal of Experimental Botany, 2019, 70(2): 545-561.

 

2018

11. Zilong Guo#, Wanneng Yang*, Yu Chang, Xiaosong Ma, Haifu Tu, Fang Xiong, Ni Jiang, Hui Feng, Chenglong Huang, Peng Yang, Hu Zhao, Guoxing Chen, Hongyan Liu, Lijun Luo, Honghong Hu, Qian Liu and Lizhong Xiong*. Genome-wide association studies of image traits reveal the genetic architecture of drought resistance in rice. Molecular Plant, 2018. doi: 10.1016/j.molp.2018.03.018.

12. Lingfeng Duan#, Jiwan Han, Zilong Guo, Haifu Tu, Peng Yang, Dong Zhang, Yuan Fan, Guoxing Chen, Lizhong Xiong, Mingqiu Dai, Kevin Williams, Fiona Corke, John H. Doonan and Wanneng Yang*. Novel digital features discriminate between drought resistant and drought sensitive rice under controlled and field conditions, Frontiers in Plant Science, 2018, 9:492. doi: 10.3389/fpls.2018.00492.

13. Di Wu, Zilong Guo, Junli Ye, Hui Feng, Jianxiao Liu, Guoxing Chen, Jingshan Zheng, Dongmei Yan, Xiaoquan Yang, Xiong Xiong, Qian Liu, Zhiyou Niu, Alan P. Gay, John H. Doonan, Lizhong Xiong, and Wanneng Yang*. Combining high-throughput micro-CT-RGB phenotyping and genome-wide association study to dissect the genetic architecture of tiller growth in rice. Journal of Experimental Botany, 2018. doi:10.1093/jxb/ery373.

2017

14. Lingbo Liu#, Wanneng Yang; Junli Ye; Guoxing Chen; Lizhong Xiong; Qian Liu*. A portable phenotyping for maize plant using cellphone. Optics InfoBase Conference Papers, v Part F70-PIBM 2017, 2017.

15. Xiong Xiong#, Lingfeng Duan#, Lingbo Liu, Haifu Tu, Peng Yang, Dan Wu, Guoxing Chen, Lizhong Xiong, Wanneng Yang* and Qian Liu*. Panicle-SEG: A robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization. Plant Methods, 2017, 13: 104.

16. Hui Feng#, Guoxing Chen, Lizhong Xiong, Qian Liu* and Wanneng Yang*.Accurate digitization of the chlorophyll distribution of individual rice leaves using hyperspectral imaging and an integrated image analysis pipeline. Frontiers in Plant Science, 2017, 8: 1238.

17. Hui Feng#, Zilong Guo, Wanneng Yang, Chenglong Huang, Guoxing Chen, Wei Fang, Xiong Xiong, Hongyu Zhang, Gongwei Wang, Lizhong Xiong* &Qian Liu*. An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice. Scientific Reports, 2017, 7: 4401.

18. Xuehai Zhang#, Chenglong Huang#, Di Wu, Feng Qiao, Wenqiang Li, Lingfeng Duan, Ke Wang, Yingjie Xiao, Guoxing Chen, Qian Liu, Lizhong Xiong, Wanneng Yang*, and Jianbing Yan*. High-throughput phenotyping and QTL mapping reveals the genetic architecture of maize plant growth. Plant Physiology, 2017, 173: 1-11.DOI: 10.1104/pp.16.01516.

19. Xiong Xiong#, Lejun Yu#, Wanneng Yang, Meng Liu, Ni Jiang, Di Wu, Guoxing Chen, Lizhong Xiong, Kede Liu and Qian Liu*. A highthroughput stereoimaging system for quantifying rape leaf traits during the seedling stage. Plant Methods, 2017, 13:7.

 

2016

20. Xiuying Liang#, Ke Wang, Chenglong Huang, Xuehai Zhang, Jianbing Yan, Wanneng Yang*. A high-throughput maize kernel traits scorer based on line-scan imaging. Measurement, 2016, 90: 453-460. 

21. Wei Fang#, Hui Feng, Wanneng Yang, Lingfeng Duan, Guoxing Chen, Lizhong Xiong and Qian Liu*. High-throughput volumetric reconstruction for 3D wheat plant architecture studies. Journal of Innovative Optical Health Sciences, 2016, 9(5): 1650037.

22. Lingfeng Duan#, Wanneng Yang, Guoxing Chen, Lizhong Xiong, and Chenglong Huang*. Accurate inference of rice biomass based on support vector machine. IFIP International Federation for Information Processing 2016. D. Li and Z. Li (Eds.): CCTA 2015, Part I, IFIP AICT 478, pp. 356–365, 2016.

23. Chenglong Huang#, Lingbo Liu, Wanneng Yang, Lizhong Xiong, and Lingfeng Duan*. Rapid identification of rice varieties by grain shape and yield-related features combined with multi-class SVM. IFIP International Federation for Information Processing 2016. D. Li and Z. Li (Eds.): CCTA 2015, Part I, IFIP AICT 478, pp. 390–398, 2016. 

2015

24. Wanneng Yang#, Zilong Guo#, Chenglong Huang, Ke Wang, Ni Jiang, Hui Feng, Guoxing Chen, Qian Liu and Lizhong Xiong*. Genome-wide association study of rice (Oryza sativa L.) leaf traits with a high-throughput leaf scorer. Journal of Experimental Botany, 2015, 66: 5605-5615.

25. Ni Jiang#, Wanneng Yang, Lingfeng Duan, Guoxing Chen, Wei Fang, Lizhong Xiong and Qian Liu*. A nondestructive method for estimating the total green leaf area of individual rice plants using multi-angle color images. Journal of Innovative Optical Health Sciences, 2015, 8, 1550002.

26. Lingfeng Duan#, Chenglong Huang, Guoxing Chen, Lizhong Xiong, Qian Liu, Wanneng Yang*. High-throughput estimation of yield for individual rice plant using multi-angle RGB imaging, CCTA 2014, IFIP AICT 452, pp. 1–12, 2015.

27. Lingfeng Duan#, Chenglong Huang, Guoxing Chen, Lizhong Xiong, Qian Liu, Wanneng Yang*. Determination of rice panicle numbers during heading by multi-angle imaging. The Crop Journal, 2015, 3, 211-219.

2014

28. Wanneng Yang#, Zilong Guo#, Chenglong Huang#, Lingfeng Duan#, Guoxing Chen#, Ni Jiang, Wei Fang, Hui Feng, Weibo Xie, Xingming Lian, Gongwei Wang, Qingming Luo, Qifa Zhang, Qian Liu* and Lizhong Xiong*. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nature Communications 2014, 5: 5087.

29. Hu Zhao#, Wen Yao, Yidan Ouyang, Wanneng Yang, Gongwei Wang, Xingming Lian, Yongzhong Xing, Lingling Chen and Weibo Xie*. RiceVarMap: a comprehensive database of rice genomic variations. Nucleic Acids Research, 2015, 43: D1018-D1022.

2013

30. Wanneng Yang#, Lingfeng Duan#, Guoxing Chen, Lizhong Xiong* and Qian Liu*. Plant phenomics and high-throughput phenotyping: accelerating the cereal plant functional genomics with multidisciplinary technologies, Current Opinion in Plant Biology, 2013, 16, 180-187. 

31. Chenglong Huang#, Qian Liu, Wanneng yang*. Development of whole-feeding and automatic rice thresher for single plant, Mathematical and Computer Modelling, 2013, 58, 684-690.

32. Chenglong Huang#, Wanneng Yang, Lingfeng Duan, Ni Jiang, Guoxing Chen, Lizhong Xiong, Qian Liu*. Rice panicle length measuring system based on dual-camera imaging, Computers and Electronics in Agriculture, 2013, 98, 158–165.

33. Hui Feng#, Ni Jiang, Chenglong Huang, Wei Fang, Wanneng Yang, Guoxing Chen, Lizhong Xiong, and Qian Liu*. A hyperspectral imaging system for an accurate prediction of the above-ground biomass of individual rice plants, Review of Scientific Instruments, 2013, 84, 095107. 

2012

34. Wanneng Yang#, Chenglong Huang, and Qian Liu*. Development of an automatic control system for pot-grown rice inspection based on programmable logic controller, In proceedings of the 5th international federation for information processing TC 5/special interest group 5.1 conference, 2012: 112-118.

35. Ni Jiang#, Wanneng Yang, LingfengDuan, XiaochunXu, Chenglong Huang, Qian Liu*. Acceleration of CT reconstruction for wheat tiller inspection based on adaptive minimum enclosing rectangle, Computers and Electronics in Agriculture, 2012, 85, 123–133.

2011

36. Wanneng Yang#, Xiaochun Xu, Lingfeng Duan, Qingming Luo, Shangbin Chen, Shaoqun Zeng, Qian Liu*. High-throughput measurement of rice tillers using a conveyor equipped with X-ray computed tomography, Review of Scientific Instruments, 2011, 82(2).

37. Wanneng Yang#, Xiaochun Xu, Kun Bi, Shaoqun Zeng, Qian Liu and Shangbin Chen*. Adaptive region of interest method for analytical micro-CT reconstruction, Journal of X-ray Science and Technology, 2011, 19(1): 23-33. 

38. Lingfeng Duan, Wanneng Yang, Chenglong Huang and Qian Liu*. A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice, Plant Methods, 2011, 7: 44.

39. Lingfeng Duan, Wanneng Yang, Kun Bi, Shangbin Chen, Qingming Luo, Qian Liu*. Fast discrimination and counting of filled/unfilled rice spikelets based on bi-modal imaging, Computers and Electronics in Agriculture, 2011, 75, 196–203.

 

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