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An efficient tetraploid induction system for Liriodendron hybrid is established and mechanistic insights into polyploid‐enhanced stress adaptation in woody plants are provided.
A decade of progress across four interconnected frontiers is synthesizes the evolution of deep learning architectures for plant disease detection, the adaptation of foundation models including CLIP, SAM, and DINOv2 to agricultural contexts, and the development of multimodal fusion frameworks integrating imagery, environmental, genomic, and hyperspectral data are synthesized.
This review synthesizes the significant advancements made over the past decade in understanding JA's role in regulating plant development and mediating responses to environmental stresses, areas that lacked systematic review in previous years.
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