Introduction

　　Guoyou Ye, research professor, doctoral supervisor. At present, he is the chief of Big Data and Application of Crop Omics Innovation Team, the director of CAAS-IRRI Joint Laboratory and the IRRI's representative in China. He has been working on quantitative plant breeding since 1989. And He is successful in biostatistics, quantitative genetic analysis, population improvement, designing efficient conventional and molecular breeding strategies and developing simulation/prediction tools for breeding.

　　Working Experience

　　2016.4–Present       Agricultural Genomics Institute at Shenzhen-CAAS / International Rice Research Institute      Senior Scientist /Director of CAAS-IRRI joint laboratory     

　　2009.01-2016.04    International Rice Research Institute                                                                                             Senior Scientist  

　　2005.07-2009.07    The Department of Primary Industries, Victoria, Australia                                                           Senior Scientist 

　　2001.07-2005.07    The University of Queensland                                                                                                       Research Officer/Fellow                  

　　2000.10-2001.07    New Zealand Institute for Crop & Food Research                                                                        Research Fellow     

　　1990.12-1995.02    Paulownia Research Centre of China                                                                                            Director and Senior Scientist          

　　Education Experience

　　1997.03-2001.04        Lincoln University, Lincoln, New Zealand       Ph.D     

　　1986.08-1989.06        Beijing Forestry University                               Master   

　　1982.08-1986.06        Beijing Forestry University                               Bachelor   

　　Research Interest

　　With rice as the target crop, established the information management, data analysis and breeding design platform for genome level selection and design breeding.

　　Major Achievements

　　More than 7000 international rice germplasm have been introduced. Significant genetic progress has been made in rice salt tolerance, ion nutrition accumulation / toxicity, and direct seeding related traits. Phenotyping of salt tolerance in Aus and indica populations at seedling stage has been completed. Two genes related to salt tolerance have been identified through genome-wide association analysis and reverse genetics. Eight functional loci related to cadmium accumulation in grains have been located, and 12 candidate genes have been identified in these regions, in which many of them have been cloned. Many F2 populations related to cadmium accumulation used for linkage mapping have been obtained. Three candidate genes related to grain zinc accumulation and 4 candidate genes related to aluminum absorption and transport in rice were obtained. More than 1000 resequenced germplasms have been tested for mesocotyl length; 7 functional loci and 15 candidate genes related to mesocotyl development have been identified, Thirty-five F1 populations and twenty-six F2 populations used for linkage mapping were obtained.

　　Selected Publication

　　1. Zou W.L., Li C., Zhu Y.J., Chen J.G., He H.H et al (2019). Rice Heavy Metal P-type ATPase OsHMA6 Is Likely a Copper Efflux Protein. Rice Science 27

　　2. Chen J.G., Zou W.L., Meng L.J., Fan X.Y., Xu G.H. et al (2019). Advances in the Uptake and Transport Mechanisms and QTLs Mapping of Cadmium in Rice. International Journal of Molecular Sciences 20:3417-3433

　　3. Liu H.Y., Zhan J.H., Li J.L., Lu X., Liu J.D. et al (2019). Genome‐wide Association Study (GWAS) for Mesocotyl Elongation in Rice (Oryza sativa L.) under Multiple Culture Conditions. Genes 11

　　4. Zhan J., Lu X., Liu H., Zhao Q.J., Ye G.Y(2019). Mesocotyl Elongation, an Essential Trait for Dry Seeded Rice (Oryza sativa L.): A Review of Physiological and Genetic Basis. Planta 251:27

　　5. Luo, B., Chen, J., Zhu, L., Liu, Sh., Lu, H. et al (2018). Affinity Nitrate Transporter OsNRT2.1 Increases Yield and Manganese Accumulation in Rice Under Alternating Wet and Dry Condition. Frontiers in Plant Science 9:1192.

　　6. Liang, Y., Meng, L., Lin, X. Cui, Y., Pang, Y. et al (2018).QTL and QTL networks for cold tolerance at the reproductive stage detected using selective introgression in rice. PlOS ONE 13(9): e0200846.

　　7. Liu, H., Wang, W., He, A., Nie, L. (2018).uring Ripening in Dry Seeded and Transplanted Rice. rice science 25:279.

　　8. 邹文莉、冷语佳、李娇龙、孟丽君、叶国友、贺浩华和陈景光（2018）.水稻镉积累的吸收与转运机制及镉胁迫相关 QTL定位的研究. 分子植物育种 16（24）:1.

　　9. Meng,L., Wang,B., Zhao,X., Ponce,K., Qian,Q., Ye,G.（2017）.Association mapping of Ferrous, Zinc, and Aluminum tolerance at the seedling stage in Indica rice using MAGIC populations.Frontiers in Plant Science 8:1-15.

　　10. Leng Y., Ye G., Zeng D.（2017）.Genetic dissection of leaf senescence in rice.International Journal of Molecular Sciences 18:2686.

　　11. Liang,S., Wu,L., Ren,G., Zhao,X., Zhou,M., McNeil,D., Ye,G.（2016）.Genome-wide association study of grain yield and related traits using a collection of advanced indica rice breeding lines for irrigated ecosystems.Field Crops Research 193:70-86.

　　12. Meng,L., Guo,L., Ponce,K., Zhao,X., Ye,G.（2016）.Characterization of three indica rice multiparent advanced generation intercross (MAGIC) populations for QTL identification. The Plant Genome 9:1-14.

　　13. Meng,L., Zhao,X., Ponce,K., Ye,G., Leung,H.（2016）.QTL mapping for agronomic traits using multi-parent advancedgeneration inter-cross (MAGIC) populations derived from diverse eliteindica rice lines.Field Crops Research 189: 19-42.