More Potato Studies

Explore recent research papers collected from PubMed.

Combining Asymmetric PCR with PAM-Independent Cas12a Analysis of Single-Stranded Amplicons for On-Site Nucleic Acid Testing.

Biosensors | PubMed: 2026-09-24

This study develops a portable biosensing system using asymmetric PCR and Cas12a for the rapid detection of Pectobacterium species, which are significant bacterial pathogens causing soft rot and blackleg in potatoes. The method was successfully validated using potato samples to detect P. polaris with high sensitivity, offering a potential tool for on-site potato disease diagnostics.

Context-Dependent Suppression of Thrips by Insect-Proof Nets in Greenhouse Eggplant and Potato.

Insects | PubMed: 2026-09-24

This study evaluates the effectiveness of different insect-proof net mesh sizes in suppressing thrip populations in greenhouse-grown potatoes and eggplants. The research highlights that while 60-mesh nets offered the most consistent reduction in thrip abundance, the overall efficacy of the nets is context-dependent, varying by crop species and season.

Long-Term Selection with α-Solanine Enhances Tolerance and Drives Multilevel Physiological Remodeling in Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae).

Insects | PubMed: 2026-09-24

This study investigates how the fall armyworm (Spodoptera frugiperda) develops tolerance to α-solanine, a major defensive glycoalkaloid found in potatoes. The research demonstrates that long-term exposure leads to physiological remodeling and altered detoxification enzyme activity, providing insights into how pests adapt to potato chemical defenses and foliage.

A Modular Fusion Protein Strategy Confers Broad-Spectrum Resistance Against Phytophthora infestans, Alternaria solani, and Ralstonia solanacearum.

Journal of fungi (Basel, Switzerland) | PubMed: 2026-09-24

The study develops a modular fusion protein strategy (SP-cBG-HL4) to provide broad-spectrum resistance against three major potato pathogens: Phytophthora infestans, Alternaria solani, and Ralstonia solanacearum. By combining antimicrobial proteins and immune-inducing patterns with optimized linkers, the researchers successfully enhanced plant defense responses and reduced disease symptoms.

Early Detection of Postharvest Potato Tuber Dry Rot Based on Hyperspectral Imaging and a Dual-Branch ResNet12-SE Spatial-Spectral Fusion Network.

Journal of fungi (Basel, Switzerland) | PubMed: 2026-09-24

This study develops a non-destructive method for the early detection of potato tuber dry rot caused by Fusarium spp. using near-infrared hyperspectral imaging and a dual-branch ResNet12-SE deep learning network. The model achieves high accuracy in identifying early-stage infections, providing a potential high-throughput screening tool for postharvest potato quality management.

Class merging degrades learned representations in potato-harvesting object detection despite operational equivalence.

Frontiers in plant science | PubMed: 2026-09-24

This study evaluates computer vision object detection models for AI-operated mobile potato harvesting, specifically comparing a 3-label classification scheme (potato, stone, soil clod) with a merged 2-label scheme (potato, impurity). The findings demonstrate that using fine-grained 3-label supervision significantly improves impurity detection precision and representation quality during harvesting, despite both impurity types triggering the same physical sorting mechanism.

Integrating genomic and phenomic data improves prediction of key traits in potato breeding.

Horticulture research | PubMed: 2026-09-24

This study evaluated predictive breeding models combining genomic SNP markers and UAV-derived phenomic data across diverse potato clones. Integrating genomic and phenomic data significantly enhanced prediction accuracy for total tuber yield compared to using either dataset alone, while genomic data proved superior for predicting starch content. The findings demonstrate that combining multi-modal data can optimize selection strategies and accelerate genetic gain in potato breeding programs.

Physicochemical properties of raw potato starch and its protective effect on bone quality in meat ducks with enteritis.

Poultry science | PubMed: 2026-09-23

This study characterized the physicochemical properties of raw potato starch (RPS), revealing round to oval granules with a B-type crystalline structure. It further evaluated RPS as a dietary resistant starch, demonstrating its protective effect against enteritis-induced bone loss and systemic inflammation in meat ducks.

Olive oil-mediated interfacial regulation enhances the stability and probiotic protection of potato protein-stabilized W1/O/W2 double emulsions.

Food chemistry | PubMed: 2026-09-23

This study demonstrates that adding olive oil to potato protein-stabilized double emulsions enhances interfacial interactions and promotes stable protein structures. The optimized formulation significantly improves probiotic protection and viability during freeze-thaw cycles, long-term storage, and in vitro digestion. These findings highlight a promising potato protein-based delivery system for functional food applications.

Identification and gene expression profiling of toll genes in the potato psyllid (Bactericera cockerelli) in response to 'Candidatus liberibacter solanacearum'.

Molecular biology reports | PubMed: 2026-09-22

This study identified and characterized Toll signaling pathway components in the potato psyllid (Bactericera cockerelli), a vector that transmits Candidatus Liberibacter solanacearum (Lso) in solanaceous crops. The authors demonstrated haplotype-specific gene expression responses of Toll receptors to LsoA and LsoB acquisition, as well as induction by the entomopathogenic fungus Beauveria bassiana. These findings provide insights into vector immune responses and potential targets for managing psyllid-transmitted potato diseases.

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