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This study evaluates the use of canopy reflectance indices (NDVI and NDRE) to quantify defoliation caused by the Colorado potato beetle in *Solanum tuberosum*. The findings demonstrate that beetle feeding rapidly reduces NDVI and that these reflectance metrics can reliably predict potato tuber yields in the field. Consequently, spectral reflectance serves as an effective precision agriculture tool for monitoring pest damage in potato crops.
This study demonstrates that the Potato virus Y (PVY) coat protein directly interacts with host cytosolic phosphoglucomutase (cPGM) to reprogram primary carbohydrate and amino acid metabolism during infection. The viral coat protein recruits cPGM into cytosolic aggregates, redirecting metabolic flux toward pathways that supply energy and biosynthetic precursors for viral replication. Silencing cPGM significantly impaired PVY accumulation and disease development, identifying cPGM as a crucial host factor facilitating viral pathogenesis.
This study identifies three Pseudomonas strains isolated from potato and tomato rhizospheres that exhibit plant growth-promoting traits and biocontrol potential. By characterizing their genomic secondary metabolite biosynthetic gene clusters and T6SS mechanisms, the research provides valuable microbial candidates for managing crop diseases.
This paper presents the development of a novel fluorescent and colorimetric sensor, DPD, designed for the selective detection of Fe2+ ions. The researchers successfully demonstrated the practical application of this sensor for detecting iron content in real potato samples.
This study investigates how the bacterial pathogen Dickeya solani evolves 'social cheating' mechanisms within potato tuber tissue by mutating regulatory sRNAs. The researchers identify that these sRNA variants exploit cooperative public goods, such as tissue acidification control, to gain a fitness advantage during potato infection.
Updated literature to September 2026
Updated literature to August 2026
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Updated literature to June 2026
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