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杨万能
发布时间:2019-02-14

个人资料

姓名:杨万能

性别:

电话:

邮箱: ywn@mail.hzau.edu.cn

学院:华中农业大学植物科学技术学院/作物遗传改良国家重点实验室

地址: 湖北省武汉市洪山区狮子山路1

出生年月: 1984.10

籍贯: 湖北省襄阳市南漳县

教育经历

2006.09 – 2011.06,华中科技大学,生物医学工程,工学博士

2002.09 – 2006.06,华中科技大学,生物医学工程,工学学士

工作经历

2017.08 - 2018.08,英国亚伯大学,访问学者

2018.12-至今,华中农业大学,植物科学技术学院,教授

2018.05 – 2018.12,华中农业大学,植物科学技术学院,副教授

2014.01 – 2018.04,华中农业大学,工学院,副教授

2011.07 - 2013.12,华中农业大学,工学院,讲师

研究领域

作物表型组学,从博士阶段至今致力于高通量作物表型组技术自主研发工作

主持科研项目

1. 水稻抗旱表型数字化鉴定新方法研究与应用,国家自然科学基金面上项目,31770397,项目起止时间:2018.01-2021.12

2. 水稻种质资源高通量表型精准鉴定与创新利用,国家重点研发计划子课题(2016YFD0100101-18),项目起止时间2016.7-2020.12

 

3. 水稻表型性状高通量提取和分析技术研究,武汉市科技晨光计划(2015070404010186),项目起止时间为2015.3-2016.12

4. 水稻植株表型数字化测量关键技术研究,国家高技术研究发展计划(863子课题,项目批准号2013AA102403-3),项目起止时间为2013.1-2017.12

5. 基于微型CT的水稻分蘖性状无损提取技术研究,国家自然科学基金青年基金(项目批准号:31200274),项目起止时间为2013.1-2015.12

 

6. 基于Micro-CT 的水稻分蘖内部3D 结构无损高通量观测关键技术研究,高等学校博士学科点专项科研基金(项目批准号:20120146120039),项目起止时间为2013.1-2015.12

7. 基于多种光学成像技术的水稻抗旱表型数字化鉴定技术研究,校培育专项(高水平科研论文培育专项2662015PY216),项目起止时间2015.9-2017.9

8. 植物表型组学,校优秀人才B类培育项目(项目批准号:2013PY034),项目起止时间为2013.1-2015.12

9. 大田小区作物高通量表型平台研发和应用,校培育专项(应用前景良好的应用型成果培育项目,2662017PY058),项目起止时间2017.1-2019.12

 

参与科研项目

1. 水稻表型性状观测数字化技术研究,国家高技术研究发展计划(项目批准号2010AA10Z203),项目起止时间2010.1-2010.11.

2. 水稻表型组高通量自动检测仪的研发与应用,湖北省科研条件与资源研究开发项目(2015BCE044),项目起止时间2015.1-2017.12.

3. 水稻育种全生育期表型自动测量分析平台,湖北省自然科学基金重点项目,项目起止时间2009.1-2011.12

4. 基于机器视觉的玉米果穗性状在线无损测量方法研究,湖北省自然科学基金面上项目(2015CFB480),项目起止时间2015.1-2016.12

5. 基于双模式成像的玉米植株表型性状数字化解析技术研究,湖北省自然科学基金面上项目(2015CFB529),项目起止时间2015.1-2016.12

学术任职

国际植物表型组学会会员、中国植物表型组学会专业委员、中国光学学会会员、中国光学学会生物医学光子学专业青年委员、中国农业科技导报理事、华中农业大学青年联合会第二届委员。

 

主要科研成果与论著

发表SCI收录文章共计22篇,其中以第一作者、共同第一作者或通讯作者在《Nature Communications》等期刊上发表SCI收录文章13篇,影响因子9.0以上3篇。其中基于多种光学成像技术和自动化控制技术建立水稻表型高通量数字化观测平台的研究工作于2014年发表在《Nature Communications》,并被《Nature Reviews Genetics》(影响因子35.898)点评为亮点研究工作之一;2016年,该工作被《National Science Review》点评:项目申请人及研究团队通过自主研发建设壹套高通量水稻表型测量平台,填补了国际上水稻表型测量手段的空白。并应邀于2013年在《Current Opinion in Plant Biology》发表植物表型组学综述文章1篇。

 

2019

1. 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

2. 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, 11: 789-805. JCR生物、植科科学1区,影响因子8.827,共通讯作者)

3. 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. (JCR生物、植物科学2区,影响因子4.298,通讯作者)

2017

4. 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. (EI)

5. 黄成龙#,张雪海,吴迪,叶军立,杨万能*。基于时间序列的玉米叶片性状动态提取方法研究。农业机械学报,2017485):174-179.

6. 吴迪#,王梦珂,杨万能,刘谦,黄成龙*。水稻表层根系性状无损测量技术研究。中国农业科技导报,2017197):66-77.

7. 吴迪#杨万能,牛智有,黄成龙*。小麦分蘖形态学特征 X 射线-CT 无损检测。农业工程学报,3314):196-201.

8. 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.JCR生物、植物科学2区,影响因子3.510,共通讯作者)

9. 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. (JCR生物、植物科学2区,影响因子4.298,共通讯作者)

10. 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. JCR综合性期刊3区,影响因子4.259

11. 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. (JCR生物、植物科学1区,影响因子6.456)

12. 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. JCR生物、植物科学2区,影响因子3.510

2016

13. 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. JCR工程技术3, 影响因子1.484,通讯作者)

 

14. 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.SCI收录,影响因子1.11

15. 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.(EI收录)

16. 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. (EI收录)

 

17. 方伟#,冯慧,杨万能,刘谦*。表型检测中用于小麦株型研究的快速三维重建方法。中国农业科技导报,201618(2): 95-101.

18. 段凌凤#杨万能*。水稻表型组学研究概况和展望。生命科学,2016,28(10): 1-9.

2015

19. 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.JCR植物科学1区,影响因子5.830,共同一作排第1

20. 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.JCR医学、光学4区,影响因子1.120

 

21. 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.(EI收录)

22. 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. (中文核心)

23. 冯慧#,熊立仲,陈国兴,杨万能*,刘谦。基于高光谱成像和主成分分析的水稻茎叶分割。激光生物学报,2015,241):31-37.(中文核心)

24. 梁秀英#,李小昱,杨万能*。奇异数据筛选法在玉米籽粒蛋白质近红外光谱检测中的应用。激光生物学报,2015,241):38-45. (中文核心)

25. 汪珂#梁秀英宗力杨万能*。玉米籽粒性状高通量测量装置设计与实现。中国农业科技导报,2015,172):94-99.(中文核心)

26. 方伟#,冯慧,杨万能,刘谦*。基于可见光成像的单株水稻植株地上部分生物量无损预测方法研究。中国农业科技导报,2015,173):63-69.(中文核心)

27. 万鹏#,谭鹤群*杨万能,潘海兵。基于颜色特征和BP 神经网络的大米加工精度判别方法研究。中国粮油学报,2015,309):103-107.EI

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. (JCR综合性期刊1区,影响因子12.124,共同一作排第1)

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. (JCR生物1区,影响因子10.162,)

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. (JCR植物科学1区,影响因子7.357,共同一作排第1)

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. (影响因子2.02,通讯作者)

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.JCR农业综合2区,影响因子2.201

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. (JCR工程技术3区,影响因子1.515)

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.EI收录)

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. JCR农业综合2区,影响因子2.201

36. 蒋霓#; 段凌凤; 杨万能; 刘谦*.基于并行处理技术的谷物粒型快速测量算法, 光电工程, 2012, 39, 66-71.

2011

37. 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). (JCR工程技术3区,Research Highlight,影响因子1.515,第一作者)

38. 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. (工程技术4, 影响因子0.699,第一作者)

39. 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. JCR生物、植物科学2区,影响因子3.510,共同一作)

40. 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. JCR农业综合2区,影响因子2.201

 

专利和软件著作权

 

获批发明专利10项:

1. 骆清铭,曾绍群,毕昆,杨万能,聂鹏飞,高源。无线云台户外控制装置及方法,中国发明专利,专利授权号:ZL 2008 1 0048447.0

2. 骆清铭,刘谦,陈尚宾,毕昆,杨万能,黄成龙。一种盆栽植株参数测量自动输送线,中国发明专利,专利授权号:ZL 2009 1 0308612.6

3. 骆清铭,刘谦,陈尚宾,杨万能,段凌凤。数字化水稻考种机,中国发明专利,专利授权号:ZL 2010 1 0234207.7

4. 骆清铭,刘谦,陈尚宾,毕昆,杨万能,段凌凤。水稻穗长的自动测量装置及测量方法,中国发明专利,专利授权号:ZL 2010 1 0143094.X

5. 骆清铭,刘谦,陈尚宾,杨万能,黄成龙。一种用于单株高精度考种的全自动谷粒分离系统,中国发明专利,专利授权号:ZL 2010 1 0241606.6

6. 杨万能,陈国兴,谢原城,熊立仲。农作物叶面积信息自动化测量分析仪,发明专利,专利授权号:ZL 2012 1 0293496.7

7. 杨万能,汪珂,谢原城,熊立仲,陈国兴,刘克德。全自动银染显影仪,发明专利,专利授权号:ZL 2013 1 0163215.0

8. 杨万能,黄成龙,冯慧,段凌凤,陈国兴,熊立仲。水稻稻穗表型参数自动测量和穗重预测方法,发明专利,专利授权号:ZL 2015 1 0457927.2

9. 冯慧,杨万能,黄成龙,熊立仲,刘谦,陈国兴。基于高光谱成像的整株水稻叶绿素含量测量装置及方法,发明专利,专利授权号:ZL 2015 1 0413257.4

10. 杨万能,梁秀英,黄成龙,段凌凤,陈国兴,熊立仲。数字化玉米考种机,发明专利,专利授权号:ZL 2015 1 0374598.5

11. 杨万能,吴迪,黄成龙,熊立仲,陈国兴,牛智有。基于微型CT的水稻分蘖性状无损测量装置及其测量方法,发明专利,专利授权号:ZL 201510899754.X

12. 杨万能,冯慧,黄成龙,段凌凤,陈国兴,熊立仲。单株盆栽水稻温度参数自动测量装置及测量方法,发明专利,专利授权号:ZL 2015 1 0368764.0

 

实用新型专利8项:

1. 骆清铭,刘谦,毕昆,杨万能,冯慧,黄成龙。小型稻麦穗单穗自动脱粒装置,实用新型专利,专利授权号:ZL 2009 2 0307548.5

2. 万鹏,陈红,高云,潘海兵,黎煊,宗力,杨万能。一种可移动长条形种植槽的导向定位装置,实用新型专利,专利授权号:ZL 2011 2 0397936.4

3. 陈红,潘海兵,万鹏,高云,黎煊,宗力,杨万能。一种温室自动化种植槽系统,实用新型专利,专利授权号:ZL 2011 2 0397899.7

4. 黄成龙,杨万能,段凌凤,陈国兴,熊立仲。种子千粒重自动测量装置,实用新型专利,专利授权号:ZL 2015 2 0453934.0

5. 杨万能,梁秀英,黄成龙,段凌凤,陈国兴,熊立仲。玉米考种机,实用新型专利,专利授权号:ZL 2015 2 0461004.X

6. 杨万能,吴迪,黄成龙,熊立仲,陈国兴,牛智友。基于微型CT的水稻分蘖性状无损测量装置,实用新型专利,专利授权号:ZL 2015 2 1013004.X

7. 黄成龙,杨万能,高猛,王品隆,种振立,程拯明。数字化考种机,实用新型专利,专利授权号:ZL 2016 2 0496644.9

 

授权软件著作权6项:

1. 骆清铭,刘谦,陈尚宾,杨万能,黄成龙。盆栽水稻输送线的PLC 控制软件[简称:RPC] V1.0,登记号:2010SR071152

2. 骆清铭,刘谦,陈尚宾,杨万能,蒋霓,方伟,徐小春。水稻植株表型性状参数自动提取系统[简称:RPAE] V1.0,登记号:2010SR071165

3. 刘谦,杨万能,熊雄,蒋霓。双目立体视觉测量水稻谷粒表型性状软件V1.0,登记号:2015SR170446

4. 刘谦,杨万能,方伟。小麦三维表型性状参数自动提取软件V1.0,登记号:2015SR169273

5. 梁秀英,杨万能,黄成龙,段凌凤。玉米果穗表型性状参数自动提取系统软件[简称:MEPE]V1.0,登记号:2016SR222004

6. 梁秀英,杨万能,黄成龙,段凌凤。玉米籽粒表型性状参数自动提取系统软件[简称:MKPE]V1.0,登记号:2016SR222007

 

国内外学术报告

1. 20119月,德国,第二届国际植物表型组学会议(2nd International Plant Phenotyping Symposium 2011, Julich Plant Phenotyping Centre, Germany),做题为“Development of a rice plant phenomics facility equipped with agricultural photonics”的学术报道。

2. 20119月,武汉,国家植物基因研究中心、湖北遗传学会第一次学术联会,做题为全自动数字化考种机和水稻表型测量平台研究最新进展的学术报道。

3. 20128月,山东农业大学(山东,泰安),第十三届全国植物基因组学大会(Plant Genomics in China),做题为“Development of a rice phenomics facility equipped with agricultural photonics”的学术报告。

4. 201211月,武汉,作物遗传改良国家重点实验室20周年庆典暨第五届学术委员会第二次会议,做题为水稻表型组学研究进展和展望的学术报告。

5. 201310月,荷兰,2013年国际表型组学会议,做题为“Photonics and high-throughput techniques to relieve the bottleneck of rice functional genomics”的学术报道。

6. 201311月,广州,第八届国际农业工程学会会议,做题为“A High-throughput Scorer for Rice Leaf Area and Green Leaf Color Evaluations Using Color Line-scan Imaging”学术报道。

7. 20143月,武汉,第一届湖北省生物信息学研讨会,做题为水稻表型组学研究进展学术报告。

8. 20145月,北京,OPTICHINA,做题为“Combining high-throughput phenotyping and genome-wide association studies to unlock the genetic architecture underlying the natural variation of rice”学术报告。

9. 20149月,武汉,植物基因研究中心(武汉)、湖北省遗传学会2014联会,做题为“Combining high-throughput phenotyping and GWAS to accelerate the dissection of rice genetic architecture”学术报告。

10. 20151月,北京,香山会议,做题为水稻表型组学研究现状和应用前景学术报告。

11. 201610月,北京,第一届亚太植物表型国际会议,做题为“High-throughput rice phenotyping facility: strategies and challenges”学术报告。

12. 20161225日,应邀参加在中国农业大学举办的“植物表型组学和表型技术”论坛暨第9PhenoTrait论坛,并作题为“水稻表型组研究和挑战”报告。

13. 2017317日,应邀参加浙江大学“作物科学青年学者论坛”,作题为“作物表型组研究进展和展望”的学术报告。

14. 2017419日,应邀参加南京农业大学举办的“南京农业大学作物表型组学论坛”,并作题为“作物表型组最新研究进展”的学术报告。

15. 2017514日,在华中农业大学举办“华中农业大学作物表型组学论坛”。由华中农业大学作物遗传改良国家重点实验室主办的“作物表型组学论坛”在物遗传改良国家重点实验室一楼学术报告厅圆满落下帷幕。150余名国内表型组知名专家学者来校讨论表型组技术的最新发展、应用和前景。

16. 2017619日,应邀参加四川农业大学举办的“四川农业大学作物表型组学论坛”,并作题为“作物表型组最新研究进展”的学术报告。

17. 2017724-29日,应邀参加第十九届国际植物学大会植物表型分会场作题为“Crop phenotyping center in HZAU (CPC): strategies and challenges”的学术报告。

18. 20171120-24日,应邀参加欧洲植物表型组学会EPPN2020,并作题为“Latest improvements in Crop Phenotyping Center (HZAU): quantify novel traits using high-throughput micro-CT, high-throughput hyperspectral imaging, field-plot phenotyping and deep learning”的学术报告。

19. 2018323-25日,在南京参加第二届亚太国际表型组会议并做“Latest improvements in crop phenotyping platform (HZAU): quantify novel traits using high-throughput micro-CT, high-throughput hyperspectral imaging, field-plot phenotyping and deep learning”的专题报告,报告详细介绍了华中农业大学作物表型组学的最新研究进展以及未来发展方向。

20. 2018101-107日,在澳大利亚阿德莱德参加第五届国际植物表型组学大会,并做题为“High-throughput greenhouse and field-plot phenotyping tools to reveal the genetic architecture of drought resistance in rice”的学术报告,报告详细介绍了华中农业大学水稻表型组学的最新研究进展以及未来发展方向。

 


 

 

Curriculum Vitae

Personal Data

Name:Wanneng Yang

Gender: Male

Telephone:

Email: ywn@mail.hzau.edu.cn

Institution: National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, College of Plant Science & Technology, Huazhong Agricultural University.

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

Date and Place of Birth: October 1, 1984, Hubei, P. R. China

Education

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.

Position held

 

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

2017.08 - 2018.08Visiting scholar, Aberystwyth University, UK

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

2011.07 - 2013.12Lecturer, Huazhong Agricultural University.

Current research interest

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

Current Research Programs

 

Project name: The digital acquisition and analytic techniques of rice phenotypic traits (National Program on High Technology Development)

ID: 2013AA102403

Duration: 01, 2013-12,2017

My duties: Project major participant. System design of high-throughput rice phenotyping facility and image analysis of rice aboveground phenotypic traits.

 

 

Project name: Extraction of rice tiller related traits equipped with X-ray micro computed tomography (National Natural Science Foundation of China)

ID: 31200274

Duration: 01, 2013-12, 2015

My duties: Project leader. System design of high-throughput micro-CT, image reconstruction using FBP algorithm, image analysis for extraction of tiller traits

Membership in Academic Societies

International Plant Phenotyping Network (IPPN)

Chinese Optical Society

Chinese Society of Agricultural Engineering

Methodological Competences

Digital image analysis based on LabVIEW and C program

Statistical analysis using SPSS (Statistical Product and Service Solutions)

Automatic control design using Omron PLC (Programmable logic controller)

Engineering drawing using UG (Siemens Product Lifecycle Management Software Inc.)

Published papers (*corresponding author)

2018

1. 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.

2. 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.

3. 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

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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

10. 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.

11. 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.

12. 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.

13. 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

14. 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.

15. 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.

16. 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.

17. 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

18. 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.

19. 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

20. 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.

21. 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.

22. 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.

23. 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

24. 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.

25. 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

26. 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).

27. 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.

28. 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.

29. 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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