Explore recent research papers collected from PubMed.
This study investigates the synergistic effects of BAP and zinc nanoparticles on the in vitro growth and antioxidant enzyme activities of Solanum tuberosum. The results demonstrate that low concentrations of these supplements enhance shoot proliferation and boost the plant's antioxidant defense system, while higher concentrations inhibit growth.
This study utilized genome-wide association analysis (GWAS) on 288 tetraploid potato accessions to identify genomic regions and candidate genes associated with tuber micronutrient concentrations (Fe, Zn, Cu, and Mn). The researchers identified 16 significant marker-trait associations, including a major locus for manganese content, providing molecular tools for biofortification in potato breeding programs.
This study evaluates the virulence of diverse Peruvian and U.S. potato cyst nematode populations against a panel of potato genotypes and resistance sources. The findings reveal that Andean populations possess a broader virulence spectrum than U.S. populations, potentially overcoming current resistance genes like H2 and H3, which emphasizes the need for diverse resistance gene pyramiding in potato breeding.
This study evaluates the drought response of Solanum brevicaule, a wild relative of the cultivated potato, by analyzing physiological, anatomical, and yield-related traits across different genotypes. The findings provide valuable phenotypic data to support the breeding of drought-resilient potato cultivars using wild germplasm.
This study investigates the synergistic effects of humic acid and nano-magnesium oxide on mitigating drought stress in Solanum tuberosum. The findings indicate that these applications improve potato yield, starch content, and antioxidant defense mechanisms while enhancing soil health under water-limited conditions.
The study identifies StC3H14, a CCCH-type zinc finger transcription factor in potato, as a key regulator that enhances cold tolerance by directly activating the CBF-dependent signaling pathway. Overexpression of StC3H14 leads to improved survival rates and higher tuber yields under chilling conditions, demonstrating its potential for potato crop improvement.
This study develops an intelligent sorting system using a modified YOLOv10n deep learning model to distinguish potato tubers from mineral impurities like soil and stones. The system achieves high sorting accuracy and efficiency, optimizing postharvest processing through automated identification and pneumatic rejection.
This study evaluates various YOLO deep learning architectures for automated potato quality detection and sorting into edible, feed, and rotten categories. Using a dataset from multiple locations, the research demonstrates that low-cost RGB-based systems can achieve high accuracy and transferability for post-harvest potato inspection.
This study investigates the impact of traditional Andean chuño processing on the structural and functional properties of starch from three potato cultivars. The research demonstrates that processing leads to reduced amylose content, increased thermal stability, and significant structural reorganization of starch granules while preserving their fundamental B-type crystalline polymorph.
This study investigates the effect of soluble arabinoxylan on the quality and starch retrogradation of mashed potatoes during cold storage. The results show that arabinoxylan improves water retention, inhibits starch recrystallization, and maintains the sensory appeal and soft texture of the product, suggesting its potential as a functional modifier for potato-based foods.