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264 results for “grapevine”
Fig. 3. A in First Record of Ambrosiophilus atratus (Eichhoff, 1875) and Further Observations of Xylosandrus germanus (Blandford, 1894) (Coleoptera: Curculionidae: Scolytinae) on Grapevine, Vitis vinifera L. (Vitaceae)
Fig. 3. A) Example of an attack on a grapevine trunk by Xylosandrus germanus in San Pietro di Feletto municipality, Veneto, Italy (July 2021), B) Wood frass visible; arrows point to exit holes made by the adults.
Testing of different methods to induce lime stress responses in grapevine rootstocks
<p>Defined experiments are necessary to clarify the response to nutrient deficiency. The study tested different options to induce lime stress in pot experiments to select the most appropriate method with grapevine roostocks. The dataset is split into three files - one with soil substrates, an hydroponic culture and an inert sand substrate. Mesurements and analyses data were obtained after the experimental period of 20-30 days. Some non-destructive measurments were additionally performed during the experimental period with the sand culture. Grapevine rootstocks Teleki 5C, Couderc 3309 and Fercal were used. They differ in their tolerance or suceptibility toward lime induced chlorosis (Fercal: tolerant, T5C: medium level, 3309C: susceptible). The results are summarized in a publication.</p>
Advances in grape and pathogen genomics toward durable grapevine disease resistance
<p>Repository for supplementary Tables to the Expert Views paper: Advances in grape and pathogen genomics toward durable grapevine disease resistance.</p> <p>Table S1. Disease resistance loci identified in grapes.<br>Table S2. Grape pathogen genome assemblies.</p> <p>Funding: <br>This work was funded by the US Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) Award #2022-51181-38240 and partially supported by the Ray Rossi Endowment in Viticulture and Enology and the E.J. Gallo Winery.</p>
Trinity assembly of Downy mildew of Grapevine lesion samples DMG-F
<p>De novo Trinity assembly of RNAseq NGS data</p>
Trinity assembly of Downy mildew of Grapevine lesion samples DMG-D
<p>de novo trinity assembly of RNA seq NGS Data</p>
Trinity assembly of grapevine downy mildew lesion- DMG-B
<p>DE novo Trinity assembly of NGS reads from RNAseq, transcriptome</p>
Fig. 6 in Dual domestications and origin of traits in grapevine evolution
Fig. 6. Schematic graph of grapevine evolutionary history. Key events in the evolutionary history of grapevines are shown alongside major events in global climate change and human migration.
Fig. 2 in Dual domestications and origin of traits in grapevine evolution
Fig. 2. Population history of V. sylvestris ecotypes. (A) Geographic isolation and population separation of V. sylvestris ecotypes. Pie charts show mean ancestry proportion at K = 8. Same color scheme as in Fig. 1B is used. (B) Demographic histories of V. sylvestris populations deduced from Stairway Plot 2. Lines indicate medians with 75% and 95% confidence intervals. (C) Population split times among ecotypes with MSMC2. Red bars indicate medians with 95% confidence intervals. (D) Ecological niche modeling of the suitable habitats for V. sylvestris ecotypes. The color scale shows suitability score.
Fig. 1 in Dual domestications and origin of traits in grapevine evolution
Fig. 1. Genetic diversity of global core V. sylvestris and V. vinifera accessions. (A) Geographical locations of the 2448 core grapevine accessions. (B) PCA according to major viticultural regions. Large square/ circle highlights median position. Star shows VS-1 position. (C) Isolationby-distance test of V. sylvestris and V. vinifera accessions. Linear regression with 95% confidence interval is shown. (D) ADMIXTURE clustering of the accessions. (E) Geographic locations of the accessions in each group. Gray represents minor locations. (F) Average proportion of major genetic ancestries in grapevine groups. (G) PC2 versus PC3 projection according to grapevine group.
Fig. 5 in Dual domestications and origin of traits in grapevine evolution
Fig. 5. Selection and evolution of the SDR in the core grapevine accessions. (A) The SDR in VS-1. Red arrows indicate identified recombination sites. (B) SDR genotypes from associated SNPs reveal five recombination sites (dashed lines) and genotype diversity (right). Major and minor haplotypes are shown on the left. (C) Distribution of SDR genotypes in the six major grapevine groups. (D) Recombination history of all SDR haplotypes. (E) Putative dispersal route of the H4 haplotype and the origination of H2 haplotype.
Fig. 3 in Dual domestications and origin of traits in grapevine evolution
Fig. 3. Dual domestications of V. vinifera in Western Asia and the Caucasus. (A) Pairwise fixation index of the major grapevine groups. (B) Outgroup f3 statistics biplot measuring genetic similarity. Rotund, Muscadinia rotundifolia. Stars mark the f3 statistics for CG1/CG2. (C) Estimated split times among Syl-E1/2 and CG1/2 with MSMC2 (left). Red bars indicate medians with 95% confidence intervals. (D) Geographic distribution of CG1 and CG2 in relation to the domestication centers. Human dispersal routes are shown. (E) Shared (sky blue) and unique domestication selective sweep regions (red and dark teal) in V. vinifera.
Fig. 4 in Dual domestications and origin of traits in grapevine evolution
Fig. 4. Stepwise diversification of V. vinifera in Europe. (A and B) Introgression from Syl-W into European V. vinifera groups revealed by TreeMix (A) and confirmed by D-statistic (B). (C) Four population simulation of split times and genetic introgression using Momi2. Median numbers from 100 bootstrap runs are shown. (D) Origination of V. vinifera groups (CG3 to CG6) by the end of the Neolithic. Geographic distributions of CG groups are shown by colored circles. See fig. S24 for details on CG3.
Grapevine Bunch Detection Dataset
<p>Images of grapevine bunches with 720x540 pixels resolution and respective annotation under the YOLO format. Each annotation indicates a bounding box around each grape bunch representing its area and position.</p> <p>The images and their annotations are stored in an archive with the following structure:</p> <p><em>GrapevineBunchDetection/</em></p> <ol> <li>label_map.pbtx</li> <li><em>test/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> <li><em>train/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> <li><em>val/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> </ol> <p><br> Each annotation file links to its image by the file name, so if an image is named <strong>"IMG_20220721_101616.jpg</strong><em><strong>"</strong></em>, its annotation files are named <strong>"IMG_20220721_101616.txt"</strong> in YOLO format. The file label_map.pbtx defines the class id and the name of each class.</p>
Grapevine Bunch Condition Detection Dataset
<p>Images of grapevine bunches with 720x540 pixels resolution and respective annotation under the YOLO format. Each annotation indicates a bounding box around each grape bunch representing its area, position, and class. The classes present in this dataset indicate the condition of each grape bunch</p> <p>The images and their annotations are stored in an archive with the following structure:</p> <p><em>GrapevineBunchConditionDetection/</em></p> <ol> <li>label_map.pbtx</li> <li><em>test/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> <li><em>train/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> <li><em>val/</em> <ul> <li><em>images/</em></li> <li><em>labels/</em></li> </ul> </li> </ol> <p><br> Each annotation file links to its image by the file name, so if an image is named <strong>"IMG_20220721_101616.jpg</strong><em><strong>"</strong></em>, its annotation files are named <strong>"IMG_20220721_101616.txt"</strong> in YOLO format. The file label_map.pbtx defines the class id and the name of each class.</p>
Data from: Genetic diversity of wild grapevine populations in Spain and their genetic relationships with cultivated grapevines
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Data from: Genetic signature of a range expansion and leap-frog event after the recent invasion of Europe by the grapevine downy mildew pathogen Plasmopara viticola
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Data from: Integrated network analysis identifies fight-club nodes as a class of hubs encompassing key putative switch genes that induce major transcriptome reprogramming during grapevine development
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Data from: SNP genotyping elucidates the genetic diversity of Magna Graecia grapevine germplasm and its historical origin and dissemination
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Data from: Adaptation of a plant pathogen to partial host resistance: selection for greater aggressiveness in grapevine downy mildew
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Data from: Soft selective sweeps in fungicide resistance evolution: recurrent mutations without fitness costs in grapevine downy mildew
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.