AIMC Topic: Plant Roots

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From root to result: Portable NIRS-based non-destructive prediction of cassava quality traits.

PloS one
Cassava (Manihot esculenta Crantz) is a staple food and a key industrial crop across tropical regions, but traditional phenotyping for critical quality traits like dry matter content (DMC) and starch content (StC) is a laborious and low-throughput pr...

Perspectives on morphology, physiology, genetic polymorphism and machine learning in cucumber grafting under zinc toxicity.

BMC plant biology
BACKGROUND: Heavy metal contamination in agricultural soils disrupts plant growth and metabolism. Although zinc (Zn) is a necessary element, concentrations above 50 ppm can be toxic to plants. Grafting has emerged as a potential strategy to mitigate ...

Identifying graft incompatible rootstocks for sweet cherry through machine learning algorithms.

PloS one
Graft incompatibility is a key factor in the development of dwarf and semi dwarf rootstocks for sweet cherry (Prunus avium L.) to improve yield, fruit quality, precocity, and labor efficiency. This study evaluated the graft incompatibility of eight g...

Predicting rhizosphere-competence-related catabolic gene clusters in plant-associated bacteria with rhizoSMASH.

Nature communications
Plants release a substantial fraction of their photosynthesized carbon into the rhizosphere as root exudates that drive microbiome assembly. Deciphering how plants modulate the composition and activities of rhizosphere microbiota through root exudate...

From pixels to patterns: Coupling Optical Coherence Tomography and machine learning for monitoring coastal wetland root systems.

The Science of the total environment
Coastal wetlands are crucial in shoreline stabilization, carbon sequestration, and storm protection. Yet, due to limitations in traditional destructive sampling techniques, the belowground biomass (live root mass) and necromass (dead and decaying roo...

Achyranthes Bidentata Radix mitigates neuronal apoptosis via regulation of JUN and CREB in the cAMP signaling pathway.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Although Achyranthes Bidentata Radix (ABR) demonstrates neuroprotective potential in NDDs, its anti-apoptotic mechanisms remain unclear.

Root of Prunus persica (taoshugen) ameliorated renal fibrosis by inhibiting TGF-β signaling via upregulating Pmepa1 in mice with unilateral ureter obstruction.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Various parts of Prunus persica (L.) Batsch (peach) exhibit medicinal properties and are utilized in traditional Chinese medicine (TCM) for therapeutic purposes. Notably, the root of P. persica, referred to as "taoshug...

Machine learning insights for sustainable hydroponic cultivation and growth monitoring of allium cepa using smart hydro kit.

Scientific reports
This research paper emphasizes the growing importance of Allium Cepa (Onions)-a medicinal plant, as a safe and effective alternative to conventional medicinal therapies for both humans and livestock. The increasing concerns over the high costs and si...

Integrated of Hyperspectral Imaging and Machine Learning Algorithms for Nondestructive Detection of Therapeutic Properties of Plants.

Chemistry & biodiversity
The approaches used to determine the medicinal properties of the plants are often destructive, labor-intensive, time-consuming, and expensive, making it impossible to analyze their quality analysis online. Performance of hyperspectral imaging (HSI) i...

X-ray irradiation as a potential postharvest treatment for maintaining the quality of lily (Lilium davidii var. unicolor) bulbs and predicting shelf life using an artificial neural network.

Food research international (Ottawa, Ont.)
This study aimed to investigate the impact of X-ray irradiation pretreatment at varying doses (0.5, 1.0, 1.5, 2.0 kGy) on the preservation quality of lily bulbs and to elucidate its potential regulatory mechanisms. The findings revealed that X-ray ir...