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This study evaluates computer vision models for in-the-wild plant disease recognition, specifically analyzing performance on various pathogens including potato late blight. The research demonstrates that fusing diverse, frozen vision backbones significantly improves diagnostic accuracy for plant pathologies compared to text-supervised methods.
This study investigates how different sequences of pH-shift and ultrasound treatments affect the physicochemical and gelling properties of potato and egg white protein composites. The research identifies specific treatment protocols, particularly alkaline pH shifts combined with simultaneous ultrasound, that significantly enhance protein solubility and gel quality for food processing applications.
This study utilizes a hydroxycinnamoyl-CoA:tyramine N-(hydroxycinnamoyl)transferase (THT) enzyme derived from Solanum tuberosum to develop a high-yield biotechnological production process for hydroxycinnamic acid-tyramine conjugates in E. coli. The research demonstrates the functional application of potato-derived enzymes in synthesizing bioactive polyphenolic compounds at a bioreactor scale.
This study investigates the genetic diversity and population structure of Phytophthora infestans, the causal agent of potato late blight, in southwestern China. The research highlights high genotypic polymorphism and extensive gene flow among regional populations, providing critical insights for managing this major potato pathogen.
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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