We are a plant computational biology research group affiliated at Tobacco Research Institute, Chinese Academy of Agriculture Science, Qingdao, China. Our mission is to provide a productive and sustainable strategy for future agriculture production and biodiversity conservation empowered by recent developments in genetics, genomics, ecology and data science.
Our group is committed to:
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Understanding the interplay between environment, plants (both wild plants and domesticated crops) and their impact on future agriculture and biodiversity by studying the genetic regulation and adaptation of adaptive traits (yield, heterosis, photoperiod, draught and heat resistance). Interests include dissecting the genetic basis of polygenic traits, understanding the process of adaptive traits evolution in response to changing environmental cues, examining how genetic diversity is partitioned genetically and distributed geographically and/or along a long timescale, and developing new strategies for recombining genes and quantitative trait loci (QTL) to enhance plant performance in agriculture and biodiversity conservation sectors.
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Developing cutting-edge technologies to help implement a productive and sustainable strategy in future agriculture and biodiversity conservation projects by integrating recent advances in genetics, genomics, remote sensing, computer vision and data science. Interests include optimising developments in remote sensing, computer vision and data science to efficiently aquire morphological and physiological phenotypes both in greenhouse condition and feild plantations, and developing computational methods to implement these developments and recent advancs in genetics into a sustainable strategy in future agriculture and biodiversity conservation projects.
Read more about our research Here