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203 results for “Hemp”
Figure 4 in Phorodon cannabis Passerini (Hemiptera: Aphididae), a newly recognized pest in North America found on industrial hemp
Figure 4. Phorodon humuli (Schrank). a) Apterous vivipara photomicrograph. b) Antennal segments II–VI. c) Siphunculus. d) Head and antennal segment I (left side dorsum; right side venter). e) Cauda dorsum.
Figure 1. Phorodon cannabis Passerini. a in Phorodon cannabis Passerini (Hemiptera: Aphididae), a newly recognized pest in North America found on industrial hemp
Figure 1. Phorodon cannabis Passerini. a) Apterae with color form exhibited indoors and outdoors through midsummer. Photograph taken on August 4, 2017. b) Hemp leaf heavily infested with P. cannabis. Photograph taken on September 11, 2017. c) Mixed stages, including alate forms. Photograph taken on August 28, 2017. d) Aphids developing on stem of hemp. Photograph taken on September 31, 2017.
Figure 2. Phorodon cannabis Passerini. a in Phorodon cannabis Passerini (Hemiptera: Aphididae), a newly recognized pest in North America found on industrial hemp
Figure 2. Phorodon cannabis Passerini. a) Apterous vivipara photomicrograph. b) Antennal segments II–VI. c) Siphunculus. d) Head and antennal segment I (left side dorsum; right side venter). e) Cauda dorsum. f) Enlargement of dorsal abdominal spatulate setae.
3D Printed Bigel: A Novel Delivery System for Cannabidiol-Rich Hemp Extract
<h2>Abstract</h2> <div>The therapeutic potential of <span>Cannabis sativa</span> L. extract has gained significant attention due to its diverse medical applications. Sublingual administration remains a common delivery method of cannabinoids; however, challenges often arise due to the inconvenient form of the extract and its taste. To address these issues, a novel bigel formulation was developed, combining water and oil phases to enhance stability and bioavailability. This formulation incorporates a cannabidiol-rich hemp extract, hyaluronic acid for its moisturizing properties, and a taste-masking agent to improve patient compliance and comfort. Using a standardized hemp extract rich in cannabinoids and a well-characterized terpene profile, the printability of the bigels was evaluated through 3D printing technology. A printout with known cannabidiol (CBD) and cannabidiolic acid (CBDA) content of 11.613 mg ± 0.192 of CBD and 4.732 mg ± 0.280 of CBDA in the printout was obtained. In addition, the release profile of CBD and CBDA was evaluated to determine the delivery efficiency of the active ingredient—dissolved active ingredient levels ranged from 74.84% ± 0.50 to 80.87% ± 3.20 for CBD and from 80.84 ± 1.33 to 98.31 ± 1.70 for CBDA depending on the formulation. Rheological studies were conducted to evaluate the viscosity of the bigels under varying temperature conditions, ensuring their stability and usability. Findings suggest that this 3D-printed bigel formulation could significantly enhance the delivery of cannabis extracts, offering a more convenient and effective therapeutic option for patients. This research underscores the importance of innovation in cannabinoid therapies and paves the way for further advancements in personalized medicine.</div>
Gnuplot scripts for plotting selected leaf gas exchange and morphological data of industrial hemp
<p>Gnuplot code (scripts) for reproducing the eight figures of Sunoj et al. 2025 "Foliar gas exchange, morphology, and cannabinoid contents of three hemp varieties in southwest Texas," Agrosystems, Geosciences & Environment, 8, e70101. https://doi.org/10.1002/agg2.70101. Here is a list of the authors of the manuscript: John Sunoj V. S. (1), Xuejun Dong (1), Madhumita Joshi (1), Russell W. Jessup (2), Daniel I. Leskovar (1), and David D. Baltensperger (2). Texas A&M AgriLife Research at Uvalde, Texas, USA (1); Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas, USA (2).</p> <p>The revised upload includes updated gnuplot scripts for reproducing Figures 2, 3, and 8, and Supplemental Figures 1-5 and Supplemental Tables 1-5 of the accepted manuscript by AGE.</p> <p>Code and data to reproduce Figure 2 (pnf_rev.eps): pn_dat_rev.txt, pnf_rev.txt</p> <p>Code and data to reproduce Figure 3 (fmf_rev.eps): fm_dat.txt, fm_rev.txt</p> <p>Code and data to reproduce Figure 8 (allom_1.eps): allom_1.txt, allom_data.csv</p> <p> </p> <p> </p> <p> </p> <p> </p>
Figure 1 in Review of nematode interactions with hemp (Cannabis sativa)
Figure 1: Time chart of primary literature reporting root-knot nematode-Cannabis sativa associations. Mh, Meloidogyne hapla; Mi, M. incognita; Mj, M. javanica.
Figure 3 in Review of nematode interactions with hemp (Cannabis sativa)
Figure 3: Chemicals isolated from Cannabis sativa roots. (A) Phytosterols. (B) Triterpenoids. (C) Cannabinoids: - (−)-trans-∆9-tetrahydrocannabinol (THC); cannabidiol (CBD); cannabidiolic acid (CBDA). (D) Nitrogen-containing compounds.
Figure 2 in Review of nematode interactions with hemp (Cannabis sativa)
Figure 2: Galling of Meloidogyne incognita on Cannabis sativa 'Cherry', Pi = 10,000 eggs. (A) Entire root system. (B) Closeup of small, white galls. Scale = 5 mm.
Figure 2 in First report of Meloidogyne hapla on hemp (Cannabis sativa) in Oregon
Figure 2: Phylogenetic relationships between Meloidogyne species as inferred from the Bayesian analysis of the mitochondrial DNA CoxII-IGS under the GTR + I + G model. Posterior probabilities of over 50% are given for appropriate clades. Sequences generated in this study are identified in bold. Meloidoyne hapla sequences were retrieved from GenBank, aligned, and trimmed with BioEdit v.7.0.5.3. The best substitution model was determined using jModelTest 2.1.10 v20160303 and the Bayesian analysis was performed using MrBayes v3.2.6. Finally, the tree was visualized using FigTree v1.4.3.
Figure 1 in First report of Meloidogyne hapla on hemp (Cannabis sativa) in Oregon
Figure 1: Meloidogyne hapla, A) body length, B) stylet (S) and knobs (Kn), C) and D) tail. Scales: A: 100 μm, B: 20 μm, and C,D: 50 μm.
Figure 4 in Megachile sculpturalis, the giant resin bee, overcomes the blossom structure of sunn hemp (Crotalaria juncea) that impedes pollination
Figure 4. Worker of Apis mellifera L. on sunn hemp blossom. Proboscis is inserted into the end of the keel to extract pollen.
Figure 3 in Megachile sculpturalis, the giant resin bee, overcomes the blossom structure of sunn hemp (Crotalaria juncea) that impedes pollination
Figure 3. Female of Megachile (Callomegachile) sculpturalis Smith on sunn hemp blossom. Keel is held down between the bee's hind legs and directed toward sternal scopal hairs holding pollen. Keels of nearby blossom are more horizontal.
Figure 2 in Megachile sculpturalis, the giant resin bee, overcomes the blossom structure of sunn hemp (Crotalaria juncea) that impedes pollination
Figure 2. Female of Megachile (Callomegachile) sculpturalis Smith on sunn hemp blossom. The bee holds onto the vexillum with her mandibles. Proboscis is not extended into the tongue guide of the vexillum. The style is touching the sternal scopae.
Figure 5 in Megachile sculpturalis, the giant resin bee, overcomes the blossom structure of sunn hemp (Crotalaria juncea) that impedes pollination
Figure 5. Worker of Apis mellifera L. on sunn hemp blossom. In wilted blossoms, pollen in the keel is more accessible to the bee, and pollen is seen adhering to the proboscis.
Fig. 1 in Range extension of Megachile lanata (Hymenoptera: Megachilidae), a non-native sunn hemp pollinator, in Florida
Fig. 1. Distribution of Megachile lanata in Florida based on museum specimens, published literature, and online database resources. The northernmost record in Sumter County is over 260 km (about 160 mi) away from the previously published northernmost location in St. Lucie County. The line at 31°N indicates the northernmost specimen record from its native range in India, which may indicate a possible range in the US.
Fig. 3 in Comparison of bee composition in sunn hemp and other cover crops
Fig. 3. Total number of bees collected in blue vane traps within cover crop plots for 5 dates in 2012, Citra, Florida, USA. SSG = sorghum sudangrass.
Fig. 2 in Comparison of bee composition in sunn hemp and other cover crops
Fig. 2. Total number of bees collected in blue vane traps within cover crop plots for 5 dates in 2012, Quincy, Florida, USA. SSG = sorghum sudangrass.
Fig. 1 in Comparison of bee composition in sunn hemp and other cover crops
Fig. 1. Mean number of total bees collected in bee bowls within cover crop plots for 6 dates in 2012, Quincy, Florida, USA. SSG = sorghum sudangrass.
Quantification of Fatty Acids in Hemp Seeds (Cannabis sativa L.) and Yield Prediction Using Machine Learning for Soxhlet and Ultrasound Extraction Methods
<p>This study focuses on the quantification of fatty acids present in hemp seeds (Cannabis sativa L.) cultivated in the Ecuadorian Andes using Soxhlet and ultrasound extraction methods. The aim is to evaluate and compare the extraction efficiency of these two techniques. Furthermore, machine learning models are applied to predict extraction yields based on experimental conditions. Using locally cultivated seeds provides valuable insights into the influence of regional agro-climatic conditions on the chemical composition. The integration of predictive algorithms offers a novel approach to optimizing the extraction process, enhancing both precision and efficiency. The findings could contribute to developing sustainable extraction methods for high-value bioactive compounds in the food and pharmaceutical industries.</p>
Phylogenomic analysis of the hemp family (Cannabaceae) reveals deep cyto-nuclear discordance and provides new insights into generic relationships
<p>Cannabaceae are a relatively small family of angiosperms, but they include several species of huge economic and cultural significance: marijuana or hemp (Cannabis sativa) and hops (Humulus lupulus). Previous phylogenetic studies clarified most deep relationships in Cannabaceae, but relationships remain ambiguous among several major lineages. Here, we sampled 83 species representing all genera of Cannabaceae and utilized a new dataset of 90 nuclear genes and 82 chloroplast loci from Hyb-Seq to investigate the phylogenomics of Cannabaceae. Nuclear phylogenetic analyses revealed a robust and consistent backbone for Cannabaceae. We observed nuclear gene-tree conflict at several deep nodes in inferred species trees, also cyto-nuclear discordance concerning the relationship between Gironniera and Lozanella and the relationships among Trema s.l. (including Parasponia), Cannabis + Humulus, and Chaetachme + Pteroceltis. Coalescent simulations and network analyses suggest that observed deep cyto-nuclear discordances likeliest stem from incomplete lineage sorting (ILS); nuclear gene-tree conflict might be caused by both ILS and gene flow between species. All genera of Cannabaceae were recovered as monophyletic, except for Celtis, which consisted of two distinct clades: Celtis I (including most Celtis species) and Celtis II (including Celtis gomphophylla and Celtis schippii). We suggest that Celtis II should be recognized as the independent genus Sparrea based on both molecular and morphological evidence. Our work provides the most comprehensive and reliable phylogeny to date for Cannabaceae, enabling further exploration of evolutionary patterns across this family and highlighting the necessity of comparing nuclear with chloroplast data to examine the evolutionary history of plant groups.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.