AI-powered drone phenotyping reveals key traits for breeding density-tolerant soybean varieties
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-Dec-2025 08:11 ET (23-Dec-2025 13:11 GMT/UTC)
A research team has developed an advanced framework that combines unmanned aerial vehicle (UAV) phenotyping with spatiotemporal deep learning and dynamic modeling to evaluate soybean density tolerance.
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A research team led by Associate Professor Changgui Zhao of Beijing Normal University reported the first intramolecular enantioselective, atropselective, and diastereoselective macrocyclization of quinone methylene (QM) with alcohols catalyzed by chiral phosphoric acid (CPA), successfully constructing planar chiral type III cyclophanes. This strategy, using 2-naphthol as a cofactor, significantly improved the reaction activity and stereoselectivity by generating the more reactive naphthoquinone methylene (NQM) intermediate. Thermodynamic studies demonstrated that the benzylic substituent significantly influences the conformational stability of the cyclophane: even when the ansa chain is extended by two carbon atoms, its planar chirality is maintained, indicating that the conformational stability of this type of cyclophane is controlled by both the macrocycle size and the position of the functional groups on the ansa chain. This study provides important insights into the relationship between the structure of cyclophanes and the mechanism of chirality. The article was published as an open access research article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.