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126 results for “banana”
Genome sequence of the banana aphid, Pentalonia nigronervosa Coquerel (Hemiptera: Aphididae) and its symbionts
<p><strong><em>Pentalonia nigronervosa</em> v1 frozen release</strong></p> <p>Genome assembly: Pentalonia_nigronervosa.v1.scaffolds.fa.gz</p> <p>BRAKER2 gene models: Pentalonia_nigronervosa.v1.scaffolds.gff</p> <p>BRAKER2 protein sequences: Pentalonia_nigronervosa.v1.scaffolds.gff.aa.fa</p> <p>BRAKER2 protein sequences (longest transcript per gene only): Pentalonia_nigronervosa.v1.scaffolds.gff.aa.LTPG.fa</p> <p>BRAKER2 coding sequences: Pentalonia_nigronervosa.v1.scaffolds.gff.cds.fa</p> <p>InterProScan functional annotation: Pentalonia_nigronervosa.v1.scaffolds.gff.aa.LTPG.interproscan.tsv</p> <p><em>Pentalonia nigronervosa</em> v1 mitochondrial genome: Pentalonia_nigronervosa.v1.mt_genome.fa</p> <p><em>Buchnera aphidicola</em> (BPn) scaffolds: Buchnera_aphidicola_BPn.scaffolds.fa</p> <p><em>Wolbachia</em> (WolPenNig) scaffolds: Wolbachia_WolPenNig.scaffolds.fa</p> <p><strong><em>Myzus cerasi </em>v1.2 frozen release</strong></p> <p>Genome assembly: Myzus_cerasi.v1.2.scaffolds.fa</p> <p>BRAKER2 gene models: Myzus_cerasi.v1.2.scaffolds.gff</p> <p>BRAKER2 protein sequences: Myzus_cerasi.v1.2.scaffolds.gff.aa.fa</p> <p>BRAKER2 protein sequences (longest transcript per gene only): Myzus_cerasi.v1.2.scaffolds.gff.aa.LTPG.fa</p> <p>BRAKER2 coding sequences: Myzus_cerasi.v1.2.scaffolds.gff.cds.fa</p> <p><strong>Aphid orthogroups and species tree</strong></p> <p>Proteomes included in the analysis: proteomes.tar.gz</p> <p>Orthogroups: Orthogroups.txt</p> <p>Gene counts per orthogroup, per species: Orthogroups.GeneCount.csv</p> <p>Single copy conserved orthogroups used for species tree: Orthogroups_for_concatenated_alignment.txt</p> <p>Species tree alignment: SpeciesTreeAlignment.fa</p> <p>Rooted species tree: SpeciesTree_rooted.nwk</p> <p><strong>Bash script to run k-mer based assembly deduplication pipeline</strong></p> <p>File: disco_filter_dups.v1.1.sh</p> <p>This script will parse a discovar de novo assembly and remove scaffolds likely to be haplotigs based on their k-mer content and a self alignment of the assembly (see manuscript for details).</p> <p>The input discovar assembly needs to have white space in scaffold IDs replaced with "_" before running. Illumina reads should be unzipped before running.</p> <p>Usage:</p> <pre><code class="language-bash">sh disco_filter_dups.sh <./path_to_assembly> <./path_to_r1> <./path_to_r2> <homozyzgous_lower_cov> <homozyzgous_upper_cov> <nucmer_id_cutoff> <nucmer_cov_cutoff> <assembly_output_prefix> <threads> <./working_dir></code></pre> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Data for "Why Bananas Look Yellow: The Dominant Hue of Object Colours"
<p>These extended supplementary materials go with the article:</p> <ul> <li>Witzel & Dewis (2022) <strong>Why Bananas Look Yellow: The Dominant Hue of Object Colours</strong>. <em>Vision Research</em>.</li> </ul> <p><strong>A. SURVEYS</strong></p> <p>A pdf-printout for each of the three Qualtrics surveys illustrates details of the procedure. The layout may have been slightly different in Qualtrics (e.g., wide screen vs portrait display). Also note that the second and third surveys feature a few questions that were unrelated to the dominant-hue study (identifying a grey image).</p> <p><strong>B. STIMULI</strong></p> <p>The images used in Experiments 1-3, and the animated images used as cues to colour changes in Experiment 3 are packed in zip-files.</p> <p><strong>C. CODE</strong></p> <p>The <em>Matlab code</em> "onehue_maker.m" is a <em>function</em> that implements the dominant-hue algorithm to produce one-hue images like those in the experiments. To try out the program, the photo of the banana and the mask identifying its background are also uploaded (= first and second input to the function). The purpose of the mask is to remove the background colour from the dominant-hue computations. </p> <p><strong>D. DATA</strong></p> <p>The uploaded data is not completely raw but has been polished in the following ways:</p> <ul> <li>Pilot data has been removed (i.e., meaningless data from us and our students to try out, check and polish the survey).</li> <li>Incomplete runs have been removed (i.e., when participants quitted before completing the whole survey).</li> <li>Data irrelevant to this study have been removed (date and time; grey-identification task [see above]).</li> </ul> <p>There are 3 sheets with data and three sheets with stimulus specifications for each of the three experiments. The stimulus specifications include the measures used in the analyses in "Other Factors" in the Discussion of Experiment 3. </p> <p><strong>Columns in the Data sheets are: </strong></p> <ul> <li><strong>Participant information:</strong> <em>recruit </em>(<em>soc med</em> = social media; <em>UG pool</em> = undergraduate students, <em>prolific </em>= https://www.prolific.co/); <em>coldef </em>= Colour deficiencies (<em><strong>1</strong></em> Yes, <em><strong>2</strong></em> No according to test, <em><strong>3</strong></em> No without test, <em><strong>4</strong></em> Don't know); <em>sex </em>(<em><strong>1</strong></em> male, <em><strong>2</strong></em> female, <em><strong>3</strong></em> other); <em>age </em>(in years), and <em>duration </em>(in minutes).</li> <li><strong>Main data: </strong>Column labels are composed of the following elements, separated by an underscore (_): <ul> <li>The first 3-5 letters of the object name: <strong><em>ban </em></strong>= banana, <strong><em>car </em></strong>= carrot, <strong><em>cher </em></strong>= cherry, <strong><em>dress </em></strong>= #theDress, <strong><em>fro</em></strong> = frog, <strong><em>gra </em></strong>= grapes, <strong><em>lem </em></strong>= lemon, <strong><em>let </em></strong>= lettuce, <strong><em>ora </em></strong>= orange, <strong><em>pig</em></strong>, <strong><em>ros </em></strong>= rose, <strong><em>shoe </em></strong>= #theShoe, <strong><em>stra </em></strong>= strawberry, <strong><em>zuc </em></strong>= zucchini/courgette.</li> <li>A symbol indicating the stimulus condition: <em><strong>1</strong></em> = One-Hue, <em><strong>m</strong></em> = Minus-Hue Rotation, <em><strong>p</strong></em> = Plus-Hue Rotation.</li> <li>A number identifying the measure: <em><strong>1</strong></em> = responded position; <em><strong>2</strong></em> = accuracy of the response (1 = correct); <em><strong>3</strong></em> = response time (in sec), <em><strong>4</strong></em> (Experiment 2-3) = confidence rating (between 0 and 100), <em><strong>5</strong></em> (Experiment 3) = cue confidence (cf. Figure 11.a).</li> <li>For inverted colours (Experiment 3), the column label starts with an "i" (for inverted).</li> </ul> </li> <li><strong>Practice Trials: </strong>Start with the prefix <em><strong>ex </strong></em>(for example) followed by an underscore (<em><strong>_</strong></em>) and the ID of the object; otherwise, data as in main trials.</li> <li><strong>Catch Trials (Experiment 2-3): </strong>Start with object name "d" for disk, otherwise, data as in main trials. </li> <li><strong>Eidolon Guesses (Experiment 2): </strong>Start with "guess" followed by the object ID (see main trials) followed by a number indicating the measure: <em><strong>1</strong></em> = response (yes/no), <em><strong>2</strong></em> = confidence (if positive response). In case of a positive response, the text entries are save in the variables starting with guess_txt.</li> </ul> <p><strong>Columns in the stimulus sheets are:</strong></p> <ul> <li><strong>DomHue:</strong> Angle of the dominant hue (cf. Figure 3); as principal components are relative to the average, the angle is relative to the average, not the origin.</li> <li><strong>pole1 and pole2:</strong> Poles of the dominant hue direction. "<strong>pole1_rgb" </strong>provides corresponding RGBs for illustration (cf. Figure 1).</li> <li><strong>ChromaRescaled:</strong> Rescale Factor (see Experiment 3).</li> <li><strong>MaxChr: </strong>Maximum chroma of the colour distribution in CIELUV.</li> <li><strong>M</strong>: Average chromaticities (<em>u*</em>, <em>v*</em>) of the colour distribution.</li> <li><strong>pc:</strong> Coefficients of the first principal component for <em>u*</em> and <em>v*</em>.</li> <li><strong>latent & expl</strong>: Absolute and relative explained variance, respectively; second column corresponds to orthogonal variance.</li> <li><strong>hueM & hueSD:</strong> Average and standard deviation of the hue of the colour distribution (cf. Figure 3).</li> <li><strong>rot_minus, rot_plus:</strong> The hue rotations in the rotated-hue condition (constant minus or plus 5, except for #theShoe).</li> <li><strong>oog_1hue, oog_plus, oog_minus:</strong> The proportion of out-of-gamut values.</li> <li><strong>oogdist_1hue, oogdist_minus, oogdist_plut:</strong> Average difference between clipped and original images (in CIELUV).</li> <li><strong>Mshift_1hue, Mshift_minus, Mshift_plus:</strong> Average and standard deviation of chromaticity shift due to the experimental manipulation (cf. Figure 5 and Table S1).</li> <li><strong>Mhueshift_1hue, Mhueshift_minus, Mhueshift_plus:</strong> Average and standard deviation of hue shift in CIELUV (cf. Figure S4.d-f and Table S2).</li> <li><strong>Lab_shift_1hue, Lab_shift_minus, Lab_shift_plus:</strong> Average and standard deviation of chromaticity shift in CIELAB (cf. Figure S4.a-c and Table S1).</li> <li><strong>Lab_hueshift_1hue, Lab_hueshift_minus, Lab_hueshift_plus:</strong> Average and standard deviation of hue shift in CIELAB (cf. Figure S4.g-i and Table S2).</li> <li><strong>Lab_Mhue:</strong> Hue of the average colour in CIELAB</li> <li><strong>Lab_hueM & Lab_hueSD0:</strong> Average and standard deviation of the CIELAB hue distribution.</li> <li><strong>huehist0:</strong> CIELUV hue histogram; each entry corresponds to the frequencies for 72 bins of 5-deg (cf. Figure 3); the zero indicates that the hue is relative to the origin, not to the average chromaticity.</li> </ul>
Banana Per Capita Consumption and SARS-CoV-2 Mortality Rates
<p>Plant Lectins are natural Antiviral agents and Banana is rich in them. Bananas are also a rich source of magnesium. Magnesium has a positive and effective role in increasing the body's immunity and stimulating the production of antibodies in the body.</p> <p>R2=0.99</p>
Fusarium associated with Banana - DArT-seq Cuban and Latin-American samples
<p>Using genotyping-by-sequencing and whole genome comparisons, we investigated the genetic diversity across this suite of isolates and compared it with the genetic diversity in a global <em>Fusarium</em> panel.</p>
Dataset of the publication: A Novel Banana-Shaped Mixed-Metal Co/Fe Polyoxometalate Cluster
<p>Dataset of the publication: A Novel Banana-Shaped Mixed-Metal Co/Fe Polyoxometalate Cluster</p> <p>DOI: 10.1002/cplu.202400473</p> <p>J. Quirós-Huerta, J. Troya, M. Clemente-León, J. M. Clemente-Juan, E. Coronado, J. Soriano-López </p> <p>ChemPlusChem, e202400473 (2024)</p>
CRISP Fruit-Picking Teleoperated Dataset: Banana
<p>Dataset of Teleoperated Demonstrations for fruit-picking tasks involving a teleoperated dexterous hand.</p> <p> </p> <p>Data involve the following modalities:</p> <p>- RGB</p> <p>- Tactile</p> <p>- Kinematic</p>
Fig. 2 in Meroncidius intermedius (Orthoptera: Tettigoniidae): a threat to Brazilian banana
Fig. 2. Amount of damage caused by the katydid Meroncidius intermedius (Orthoptera: Tettigoniidae) to banana cultivar Pacovan (genotype AAB) from Oct 2012 to Sep 2013, municipality of Alfredo Chaves, Espírito Santo State, Brazil.
Figure 1 in Biological aspects of Caligo teucer (Lepidoptera: Nymphalidae) with banana tree leaves
Figure 1. Caligo teucer japetus (Lepidoptera: Nymphalidae). A - eggs; B - first, second, third, fourth and fifth instar larvae; pupa: C - anterior view, D - posterior and E - lateral; F - male, dorsal (left), ventral (right); G - female, dorsal (left), ventral (right) view. Scale bars A, B: 1 mm, C, D, E: 10 mm, F, G: 20 mm.
Linked collectors and determiners for: Occurrence of Mymarothrips garuda Ramakrishna & Margabandhu (Thysanoptera: Terebrantia: Aeolothripidae) on banana in South India.
Natural history specimen data linked to collectors and determiners held within, "Occurrence of Mymarothrips garuda Ramakrishna & Margabandhu (Thysanoptera: Terebrantia: Aeolothripidae) on banana in South India". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1c766196-647f-482a-b69f-1dcbb55bb35a">https://bionomia.net/dataset/1c766196-647f-482a-b69f-1dcbb55bb35a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1c766196-647f-482a-b69f-1dcbb55bb35a">https://gbif.org/dataset/1c766196-647f-482a-b69f-1dcbb55bb35a</a>. Formatted as a Frictionless Data package.
Spatio-temporal change of selected soil physico-chemical properties in grevillea-banana agroforestry systems
<p>This is a data base containin raw data (soil and litter data) as well as the R scripts used for their analyses</p>
Labeled banana bunch dataset
<p>Dataset of multiple labeled images for training a neural network.</p>
Cocho with Banana Leaf Lid
Kaiowá and Guarani Chicha beverage container, made of a hollowed tree trunk. The lid is a banana leaf, and the cup is a gourd. Source: Objaverse 1.0 / Sketchfab
Examining ozone susceptibility in the genus Musa (bananas)
<p>Tropospheric ozone (O<sub>3</sub>) is a global air pollutant that adversely affects plant growth and productivity. <span>While the </span>impacts of <span>O<sub>3</sub> </span>have previously been examined for some tropical commodity crops, no information is available for the pantropical crop,<span> banana (<em>Musa</em> spp.). In this study, we exposed Australia's major banana cultivar, Williams, to a range of </span>[O<sub>3</sub>] <span>in open-top chambers. In addition</span>, we examined 46 diverse <em>Musa</em> lines growing in a common garden for variation in traits that are hypothesized to shape responses to O<sub>3</sub>: leaf mass per area, intrinsic water-use-efficiency, and total antioxidant capacity. <span>Banana cv. Williams </span>showed substantial susceptibility to O<sub>3</sub>. Combined our results from <span>open-top chambers and common garden conditions</span> suggest a substantial risk of O<sub>3</sub> to banana production and food security throughout the tropics.</p>
Banana Imagery Dataset - Tanzania
<p>The banana images dataset was created to contribute to the study of banana diseases diagnostics. The images target the diagnostics of Black Sigatoka and Fusarium Wilt Race 1 diseases. We are motivated in developing end to end tools to help farmers diagnose diseases and improve banana productivity. The dataset was created to facilitate image classification and object detection tasks. </p>
Examining ozone susceptibility in the genus Musa (bananas)
Open the record for dataset details and reuse information.
Fig. 11 in New endemic Fusarium species hitch-hiking with pathogenic Fusarium strains causing Panama disease in small-holder banana plots in Indonesia
Fig. 11 Fusarium longipes (InaCC F974). a. Culture grown on PDA; b–c. sporodochia on carnation leaves; d. sporodochial conidiophores; e–f. branched conidiophores; g. falcate-shaped macroconidia; h. microconidia; i. chlamydospores. — Scale bars: b–k = 10 µm.
Fig. 10 in New endemic Fusarium species hitch-hiking with pathogenic Fusarium strains causing Panama disease in small-holder banana plots in Indonesia
Fig. 10 Fusarium kotabaruense (ex-type InaCC F963). a. Culture grown on PDA; b. mycelium on carnation leaves; c–h. conidiophores and conidiogenous cells; i–k. conidia. — Scale bars: b = 200 µm; c–d = 50 µm; e–f, h–k = 10 µm; g = 5 µm.
Fig. 9 in New endemic Fusarium species hitch-hiking with pathogenic Fusarium strains causing Panama disease in small-holder banana plots in Indonesia
Fig. 9 Fusarium sulawense (ex-type InaCC F964). a. Culture grown on PDA; b–c. sporodochia on carnation leaves; d–h. aerial conidiophores and conidiogenous cells; i. aerial conidia; j–k. sporodochial conidiophores and conidiogenous cells; l–m. sporodochial conidia. — Scale bars: b–c = 50 µm; d–g, i–m = 10 µm; h = 5 µm.
Fig. 7 in New endemic Fusarium species hitch-hiking with pathogenic Fusarium strains causing Panama disease in small-holder banana plots in Indonesia
Fig. 7 Fusarium desaboruense (ex-type InaCC F950). a. Culture grown on PDA; b–c. sporodochia on carnation leaves; d–h. aerial conidiophores and conidiogenous cells; i–k. aerial conidia; l. sporodochial conidiophores and phialides; m. sporodochial conidia. — Scale bars: b–d = 20 µm; e–m = 10 µm.
Fig. 8 in New endemic Fusarium species hitch-hiking with pathogenic Fusarium strains causing Panama disease in small-holder banana plots in Indonesia
Fig. 8 Fusarium tanahbumbuense (ex-type InaCC F965). a. Culture grown on PDA; b–c. sporodochia on carnation leaves; d–g. aerial conidiophores and conidiogenous cells; h–i. aerial conidia; j–l. sporodochial conidiophores and conidiogenous cells; m–o. sporodochial conidia. — Scale bars: b–c = 50 µm; d–o = 10 µm.
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