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34 results for “Olive trees”
Ground truth and raw hyperspectral files of olive trees for plant stress detection
<p>This dataset contains raw hyperspectral images from Cubert S-185 collected on 13 May 2021 from an olive field in Halkidiki, Northern Greece. Included is also a matrix containing the id of each recorded olive tree (the samples) that also appears in the hyperspectral images. QGIS (ver.3.28.0) software plugin 'zonal statistics multiband' was used to compute zonal statistics for each of the 138 spectral bands available for each sample. Accompanying each sample is also the ground truthing data recorded, which addresses the present stress of 3 stressors (<i>Verticillium dahliae, Pleospora herbarum </i>and 'other stressors').</p>
Potential and realized distribution at 30m for Olive tree (Olea europaea) in Europe for 2000 - 2020
<p>Probability and uncertainty maps showing the potential and realized distribution for the olive tree (<em>Olea europaea, L.</em>) for Europe from the dataset prepared by <a href="http://doi.org/10.5281/zenodo.5818021">Bonannella et al. (2022)</a> and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods:</p> <ul> <li>2000 - 2002,</li> <li>2002 - 2006,</li> <li>2006 - 2010,</li> <li>2010 - 2014,</li> <li>2014 - 2018,</li> <li>2018 - 2020.</li> </ul> <p>Files are named according to the following naming convention, e.g:</p> <ul> <li>veg_olea.europaea_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3</li> </ul> <p>with the following fields:</p> <ul> <li>theme: e.g. <strong>veg</strong>,</li> <li>species code: e.g. <strong>olea.europaea</strong>,</li> <li>species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation),</li> <li>species estimation method: e.g. <strong>eml</strong>,</li> <li>species estimation type: e.g. <strong>md</strong> ( = model deviation),</li> <li>resolution in meters e.g. <strong>30m</strong>,</li> <li>reference depths (vertical dimension): e.g. <strong>0..0cm</strong>,</li> <li>reference period begin end: e.g. <strong>2000..2002</strong>,</li> <li>reference area: e.g. <strong>eumap</strong>,</li> <li>coordinate system: e.g. <strong>epsg3035</strong>,</li> <li>data set version: e.g. <strong>v0.3</strong>.</li> </ul> <p>For each species is then easy to identify probability and uncertainty distribution maps:</p> <ul> <li>veg_olea.europaea_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution</li> <li>veg_olea.europaea_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution</li> <li>veg_olea.europaea_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution</li> <li>veg_olea.europaea_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution</li> </ul> <p>Files are provided as <a href="https://gdal.org/drivers/raster/cog.html">Cloud Optimized GeoTIFFs</a> and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format.</p> <p>If you would like to know more about the creation of the maps and the modeling:</p> <ul> <li><strong>watch</strong> the talk at Open Data Science Workshop 2021 (<a href="https://doi.org/10.5446/55256">TIB AV-PORTAL</a>)</li> <li><strong>access </strong>the repository with our R/Python scripts and follow the instructions (<a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/tree/master/veg_mapping">GitLab</a>)</li> <li><strong>access </strong>the repository with the training dataset (<a href="https://doi.org/10.5281/zenodo.5818021">Zenodo</a>)</li> <li><strong>read </strong>the tutorial with executable code on our <a href="https://opengeohub.github.io/spatial-prediction-eml/spatiotemporal-ml.html#spatiotemporal-distribution-of-fagus-sylvatica">GitBook</a></li> </ul> <p>A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on <a href="https://doi.org/10.7717/peerj.13728">PeerJ</a>. To suggest any improvement/fix use <a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues">https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues</a>.</p>
Vincent van Gogh's Olive Trees
Vincent van Gogh's Olive Trees, 1889, now in the collection of the Minneapolis Institute of Art. From the painting's description on artsmia.org: *This is one of fifteen canvases of olive trees that van Gogh executed between June and December of 1889. Earlier that year he had interned himself in the asylum of St-Paul, in the town of St-Rémy in southern France, where he would create his most profound works. The vibrant oranges and yellows suggest that the picture dates to the autumn months. Van Gogh left St-Rémy in May 1890, moving to Auvers, near Paris, where he continued to paint until his death by suicide in July.* More information about the painting here: https://collections.artsmia.org/art/1218/olive-trees-vincent-van-gogh Source: Objaverse 1.0 / Sketchfab
FIGURE 3 in Phytophagous and predatory mites on olive trees in Tunisia. Catalogue, description of one new species and key for identification (Acari, Eriophyidae, Tetranychidae, Tenuipalpidae and Phytoseiidae)
FIGURE 3: Calyx of the spermatheca (a), Chelicera (b) and Macrosetae on leg IV (c) of the female of Typhlodromus (Anthoseius) mathieui n. sp.
Deep Learning for Detecting Verticilium Fungus in Olive Trees Using YOLO in UAV Imagery Dataset
<p>Dataset used in the paper entitled "Deep Learning for Detecting Verticillium Fungus in Olive Trees: Using YOLO in UAV Imagery".</p> <p>Contains UAV RGB images of three olive fields located in Greece.</p>
Supplementary data of chloroplast genome of a centennial olive tree from the Peruvian coast
Open the record for dataset details and reuse information.
FIGURE 5 in First report of the lace bug Neoplerochila paliatseasi (Rodrigues, 1981) (Hemiptera Tingidae) infesting cultivated olive trees in South Africa, and its complete mitochondrial sequence
FIGURE 5. Usage of start codons (ATG, ATA, ATT, ATC and GTG) found in the complete complement of 13 mitochondrial protein-coding genes from 15 lace bug species belonging to the family Tingidae.
FIGURE 3 in First report of the lace bug Neoplerochila paliatseasi (Rodrigues, 1981) (Hemiptera Tingidae) infesting cultivated olive trees in South Africa, and its complete mitochondrial sequence
FIGURE 3. Percentage of maximum intragroup p-distances (K2P) in 25 species of lace bugs (Hemiptera: Tingidae). The analysis was based on a 512 bp alignment of COI barcoding sequences (n = 218).
FIGURE 2 in First report of the lace bug Neoplerochila paliatseasi (Rodrigues, 1981) (Hemiptera Tingidae) infesting cultivated olive trees in South Africa, and its complete mitochondrial sequence
FIGURE 2. Neighbor-Joining (K2P) tree of lace bugs (Hemiptera: Tingidae) based on an alignment of COI sequences (512 bp). The analysis included 218 sequences belonging to 25 species in 16 genera retrieved from BOLD, except for the newly reported Neoplerochila paliatseasi (in bold). Triangles represent collapsed groups of sequences belonging to the same species. Nodal statistical support was based on 1,000 replicates (only values> 85% are shown).
FIGURE 6 in First report of the lace bug Neoplerochila paliatseasi (Rodrigues, 1981) (Hemiptera Tingidae) infesting cultivated olive trees in South Africa, and its complete mitochondrial sequence
FIGURE 6. Predicted structure of the 22 tRNAs in the complete mitochondrial genome of Neoplerochila paliatseasi (Hemiptera: Tingidae). Inferred canonical Watson-Crick bonds are represented by lines, and non-canonical bonds (U-U, A-A, G-U, G-A, G-G, C-C, A-C, and C-U) are represented by dots.
FIGURE 7. Phylogenetic relationships among 15 in First report of the lace bug Neoplerochila paliatseasi (Rodrigues, 1981) (Hemiptera Tingidae) infesting cultivated olive trees in South Africa, and its complete mitochondrial sequence
FIGURE 7. Phylogenetic relationships among 15 lace bug species (Hemiptera: Tingidae) based on 13 mitochondrial proteincoding genes, using Bayesian inference. PCG123 was constructed using DNA sequences with partitioned codon positions. PCG12 was constructed using DNA sequences, excluding the 3rd codon position. AA was constructed using amino acid sequences. Trees were rooted by the outgroups Adelphocoris fasciaticollis and Apolygus lucorum (Miridae). Nodal statistical support is given as Bayesian posterior probability.
Data from: Genetic relationships, structure and parentage simulation among the olive tree (Olea europaea L. subsp. europaea) cultivated in Southern Italy revealed by SSR markers
In this work, we assess both the morphological and genetic diversity of 68 important olive cultivars from three Southern Italian regions: Calabria, Campania and Sicily. Twenty-five phenotypic traits were evaluated and 12 simple sequence repeat (SSR) markers were analysed. All SSR primers were polymorphic and reliable. The total number of alleles per locus varied from 5 to 19 with an average number of 13.1 and a mean polymorphic information content (PIC) of 0.81. These results suggested high genetic diversity within these three olive germplasm collections. Morphological traits also showed significant variability amongst cultivars. Two cases of identity were found and ten statistically significant cases of putative parent/sibling were discovered by performing a SSR-based parentage simulation analysis with CERVUS. The Mantel test indicated low but significant correlations between the morphological data and SSR allelic frequency, origin and SSR allelic frequency, and origin and morphology. Structure software allowed inference of relationships between the three olive germplasm collections and allowed us to obtain the most consistent grouping and to identify putative admixed or exchanged cultivars. Cluster and multivariate analysis, based on morphological traits, revealed geographic grouping in agreement with UPGMA dendrogram and structure analysis using SSRs. Sicilian cultivars showed a more homogenous genetic makeup, probably due to geographical isolation, whilst Calabrian and Campanian cultivars seemed to have a less distinct genetic structure, with a greater degree of intermixing. A correlation between the presence of certain SSR alleles and fruit size was also found.
The monumental olive tree of Pigi Rethimno Crete
The monumental olive tree of Pigi Source: Objaverse 1.0 / Sketchfab
On following pages: 669. Andean Swamp Rat (Neotomys ebriosus); 670. Salta Chinchilla Rat (Euneomys fossor); 671. Biting Chinchilla Rat (Euneomys mordax); 672. Peterson's Chinchilla Rat (Euneomys petersoni); 673. Patagonian Chinchilla Rat (Euneomys chinchilloides); 674. Chilean Climbing Mouse (Irenomys tarsalis); 675. Cerrado Red-nosed Mouse (Wiedomys cerradensis); 676. Common Red-nosed Mouse (Wiedomys pyrrhorinos); 677. Rio de Janeiro Arboreal Rat (Phaenomys ferrugineus); 678. Red-nosed Tree Mouse (Wilfredomys oenax); 679. Andean Long-clawed Mouse (Paynomys macronyx); 680. Chilean Long-clawed Mouse (Chelemys megalonyx); 681. Edwards's Long-clawed Mouse (Notiomys edwardsii); 682. Valdivian Long-clawed Mouse (Geoxus valdivianus), 683. Large Long-clawed Mouse (Geoxus annectens); 684. Guafo Island Long-clawed Mouse (Geoxus latkenche); 685. Michaelsen's Long-clawed Mouse (Geoxus michaelseni); 686. Long-haired Soft-haired Mouse (Abrothrix longipilis); 687. Hairy Soft-haired Mouse (Abrothrix hirta); 688. Mann's Soft-haired Mouse (Abrothrix mann); 689. Sanborn's Soft-haired Mouse (Abrothrix sanborni); 690. Woolly Soft-haired Mouse (Abrothrix lanosa); 691. Ornate Soft-haired Mouse (Abrothrix jelskii); 692. Gray Soft-haired Mouse (Abrothrix illutea); 693. Andean Soft-haired Mouse (Abrothrix andina); 694. Olive Soft-haired Mouse (Abrothrix olivacea): 695. Yellow-nosed Soft-haired Mouse (Abrothrix xanthorhina). in Cricetidae
On following pages: 669. Andean Swamp Rat (Neotomys ebriosus); 670. Salta Chinchilla Rat (Euneomys fossor); 671. Biting Chinchilla Rat (Euneomys mordax); 672. Peterson's Chinchilla Rat (Euneomys petersoni); 673. Patagonian Chinchilla Rat (Euneomys chinchilloides); 674. Chilean Climbing Mouse (Irenomys tarsalis); 675. Cerrado Red-nosed Mouse (Wiedomys cerradensis); 676. Common Red-nosed Mouse (Wiedomys pyrrhorinos); 677. Rio de Janeiro Arboreal Rat (Phaenomys ferrugineus); 678. Red-nosed Tree Mouse (Wilfredomys oenax); 679. Andean Long-clawed Mouse (Paynomys macronyx); 680. Chilean Long-clawed Mouse (Chelemys megalonyx); 681. Edwards's Long-clawed Mouse (Notiomys edwardsii); 682. Valdivian Long-clawed Mouse (Geoxus valdivianus), 683. Large Long-clawed Mouse (Geoxus annectens); 684. Guafo Island Long-clawed Mouse (Geoxus latkenche); 685. Michaelsen's Long-clawed Mouse (Geoxus michaelseni); 686. Long-haired Soft-haired Mouse (Abrothrix longipilis); 687. Hairy Soft-haired Mouse (Abrothrix hirta); 688. Mann's Soft-haired Mouse (Abrothrix mann); 689. Sanborn's Soft-haired Mouse (Abrothrix sanborni); 690. Woolly Soft-haired Mouse (Abrothrix lanosa); 691. Ornate Soft-haired Mouse (Abrothrix jelskii); 692. Gray Soft-haired Mouse (Abrothrix illutea); 693. Andean Soft-haired Mouse (Abrothrix andina); 694. Olive Soft-haired Mouse (Abrothrix olivacea): 695. Yellow-nosed Soft-haired Mouse (Abrothrix xanthorhina).
FIGURE 2 in Phytophagous and predatory mites on olive trees in Tunisia. Catalogue, description of one new species and key for identification (Acari, Eriophyidae, Tetranychidae, Tenuipalpidae and Phytoseiidae)
FIGURE 2: Ventral shields of the female of Typhlodromus (Anthoseius) mathieui n. sp.
FIGURE 1 in Phytophagous and predatory mites on olive trees in Tunisia. Catalogue, description of one new species and key for identification (Acari, Eriophyidae, Tetranychidae, Tenuipalpidae and Phytoseiidae)
FIGURE 1: Dorsal shield and peritreme of the female of Typhlodromus (Anthoseius) mathieui n. sp.
Fig. 7 in Phenolic and lipophilic metabolite adjustments in Olea europaea (olive) trees during drought stress and recovery
Fig. 7. General overview of phenolic and lipophilic profile variation after stress treatments (exposure) and stress relief (recovery). Relative levels [expressed as log2 (stress/control)] are given besides each identified metabolite as a heatmap: WD – water deficit and WDHS+UVB – water deficit with heat and high UVB shocks. Nd - not detected.
Fig. 6 in Phenolic and lipophilic metabolite adjustments in Olea europaea (olive) trees during drought stress and recovery
Fig. 6. Carbohydrates profile of O. europaea leaves from plants under control (C) conditions and exposed to WD and WD HS+UVB treatments. Values are means ± standard deviation (n = 4). For each compound, the different letters indicate statistical between treatments (P <0.05).
Fig. 3 in Phenolic and lipophilic metabolite adjustments in Olea europaea (olive) trees during drought stress and recovery
Fig. 3. Fatty acids and sterols profiles of O. europaea leaves from plants under control (C) conditions and exposed to WD and WDHS+UVB treatments. Values are means ± standard deviation (n = 4). For each compound, the different letters indicate statistical between treatments (P <0.05).
Fig. 5 in Phenolic and lipophilic metabolite adjustments in Olea europaea (olive) trees during drought stress and recovery
Fig. 5. Terpenes profile of O. europaea leaves from plants under control (C) conditions and exposed to WD and WDHS+UVB treatments. Values are means ± standard deviation (n = 4). For each compound, the different letters indicate statistical between treatments (P <0.05).
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