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This study develops an optimized prime editing system (Csy4-PE6d) designed to improve genome editing efficiency in dicotyledonous plants. The researchers successfully demonstrate that this system exhibits robust editing activity in potato, providing a valuable new tool for potato functional genomics and precision breeding.
This paper presents DFINE-PFM, a real-time instance segmentation framework designed to automatically distinguish potatoes from soil clods on harvester conveyor belts. By incorporating advanced feature extraction and boundary detection modules, the system achieves high precision and real-time processing speeds, offering a solution for automated potato harvesting and quality monitoring.
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If you find this platform helpful for your research, please cite:
An AI-powered Knowledge Hub for Potato Functional Genomics, Plant Commun., 10.1016/j.xplc.2026.101730