Research Interest
Agriculture is facing major challenges in the future. On the one hand, the population is growing rapidly and the area of farm land is decreasing year by year. On the other hand, the world is warming at an alarming rate. How to achieve future food security? This research group mainly combines big data such as multi-omics and environmental data, and applies machine learning and artificial intelligence algorithms to detect adaptive, deleterious and structural variations associated with major agronomic traits. Furthermore, with the help of precise genome editing technology (CRISPR-Cas9), functional genomic analysis and rapid molecular breeding are realized. Focusing on crop population genomics and intelligent breeding, the following work will mainly conduced: (1) Collection, preservation, evaluation and innovation of crop germplasm resources for crops such as rice, grapes and its rootstocks; (2) The genetic basis of important agronomic traits; (3) Machine learning and genomic breeding of crops.