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440 results for “Potato”
FIGURE 6 in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 6. Female genitalia of Epicaerus panamensis: A–B abdominal sternite 8 (apo: apodeme; lam: lamina), A ventral view, B lateral view, C ovipositor (sty: stylus; ds: dorsal section of distal coxites; dcx: distal coxites; small triangle marks separation between proximal and distal coxites; pcx: proximal coxites; vs: ventral section of distal coxites; dscl: distal sclerite; pscl: proximal sclerites; bc: bursa copulatrix; spe: spermatheca) D spermatheca (ra: ramus; cl: collum; crp: corpus; cn: cornu), E detail of apex of coxites including stylus (sty: stylus; ds: dorsal section of distal coxites; vs: ventral section of distal coxites).
FIGURE 4 in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 4. Head and posterior view of Epicaerus panamensis: A head, dorsal view, white arrow pointing lateral depression on rostrum; B posterior view.
FIGURE 7 in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 7. Male of Epicaerus inaequalis (ASUCOB0019956): A dorsal view, B lateral view, C ventral view, D dorsal view of head, E posterior view, F aedeagus in lateral view, G apical region of median lobe (as: apical setae; ep: endophallite), H spiculum gastrale, I tegmen. Scale bar for A–C: 2 mm.
FIGURE 3 in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 3. Habitus of Epicaerus panamensis: A–C female, D–F male. A, D dorsal view, B, E lateral view; C, F ventral view. Scale bars: 2 mm.
FIGURE 2. Localities where Epicaerus panamensis n in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 2. Localities where Epicaerus panamensis n. sp. has been collected: A. Central America highlighting Panama in red. B. General area in Tierras Altas, Chiriquí Province. C. Specific localities: Tierras Altas (black dot; 08°51'12.0"N, 82°34'25.2"W) and Las Nubes (red dot; 08°52'18.9"N, 82°35'30.2"W). D. Panoramic view of collecting site at Tierras Altas. E. Panoramic view of collecting site at Las Nubes. Maps from Smithsonian Tropical Research Institute GIS data portal (https://stridatasi.opendata.arcgis.com/).
FIGURE 9 in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 9. Specimen of Epicaerus nr. inaequalis from Costa Rica: A dorsal view, B lateral view. Photos by Humberto Lezama.
FIGURE 5 in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 5. Male genitalia of Epicaerus panamensis: A spiculum gastrale, B tegmen, B1 detail of projections of tegminal plate, C aedeagus, dorsal view, D apical region of aedeagus, E aedeagus, lateral view; as: apical setae; ep: endophallite.
FIGURE 1 in A new species of Epicaerus Pascoe, 1881 (Coleoptera: Curculionidae: Entiminae: Geonemini) associated with potato cultivars in Tierras Altas de Chiriquí, Panama
FIGURE 1. Weevil specimens and damage in the field at Tierras Altas de Chiriquí, Panamá: A. Individuals on vegetation. B. Mating couple on vegetation. C. Damage on potato leaves. Photos by Javier Pitti.
The genetic architectures of vine and skin maturity in tetraploid potato
<p>Potato vine and skin maturity, which refer to foliar senescence and adherence of the tuber periderm, respectively, are both important to production and therefore breeding. Our objective was to investigate the genetic architectures of these traits in a genome-wide association panel of 586 genotypes, and through joint linkage mapping in a half-diallel subset (N = 397). Skin maturity was measured by image analysis after mechanized harvest 120 days after planting. To correct for the influence of vine maturity on skin maturity under these conditions, the former was used as a covariate in the analysis. The genomic heritability based on a 10K SNP array was 0.33 for skin maturity vs. 0.46 for vine maturity. Only minor QTL were detected for skin maturity, the largest being on chromosome 9 and explaining 8% of the variation. As in many previous studies, <em>S. tuberosum Cycling DOF Factor 1</em> (<em>CDF1</em>) had a large influence on vine maturity, explaining 33% of the variation in the panel as a bi-allelic SNP and 44% in the half-diallel as a multi-allelic QTL. From the estimated effects of the parental haplotypes in the half-diallel and prior knowledge of the allelic series for <em>CDF1</em>, the <em>CDF1 </em>allele for each haplotype was predicted and ultimately confirmed through whole-genome sequencing. The ability to connect statistical alleles from QTL models with biological alleles based on DNA sequencing represents a new milestone in genomics-assisted breeding for tetraploid species.</p>
Replacing Mineral Fertilisers for Bio-Based Fertilisers in Potato Growing on Sandy Soil: A Case Study
<p>The refinement level of bio-based fertilisers (BBFs) can influence environmental and agronomic performance. This study analyses the environmental and agronomic effect of different BBFs on potato growing in sandy soil. A less refined product (liquid fraction of digestate (LFD)), two refined products (ammonium sulphate (AS) and potassium concentrate (KC)), and mineral fertilizer (MF) are compared by conducting: (i) a nitrogen (N) incubation experiment where the N release rate of the BBFs is determined, (ii) a greenhouse gas emission experiment where N<sub>2</sub>O, CO<sub>2</sub>, and CH<sub>4</sub> emissions after BBF application are measured, (iii) a pot experiment where the nutrient fertiliser replacement value (NFRV) of the BBF is calculated, and (iv) a full-scale field trial where the potato quality and quantity and the remaining N residues in the soil after harvest are assessed. The N release rate and the NFRV of AS (142 ± 19% and 1.13, respectively) was higher compared with the LFD (113 ± 24% and 1.04) and MF (105 ± 16% and 1.00). Lowest N<sub>2</sub>O emissions were observed after the application of the less refined product (0.02 ± 0.01 per 100 g N applied) and highest for MF urea (0.11 ± 0.02 per 100 g N applied). In the full-scale field trial, no significant difference in potato yield was observed in the plots that received manure in combination with BBF or MF. This study showed that all three BBFs can safely be used in potato growing on sandy soils. However, the adoption of BBFs can be stimulated by (i) solving the practical issues that occurred during the application of LFD, (ii) making sure BBFs are on the list of RENURE materials so they can legally replace mineral fertiliser, and (iii) reducing the surplus of slurry manure to stimulate the use and fair pricing of BBF products.</p>
FIGURE. Cladosporium benschii (VIC 44412, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–J. Non-geniculate macronematous conidiophores and conidia. K. Conidiogenous cells with slightly protuberant loci. L. Micronematous conidiophores. M. Microcyclic conidiogenesis. Scale bars: E–M = 20 µM. in Six new species of Cladosporium associated with decayed leaves of native bamboo (Bambusoideae) in a fragment of Brazilian Atlantic Forest
FIGURE. Cladosporium benschii (VIC 44412, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–J. Non-geniculate macronematous conidiophores and conidia. K. Conidiogenous cells with slightly protuberant loci. L. Micronematous conidiophores. M. Microcyclic conidiogenesis. Scale bars: E–M = 20 µM.
FIGURE. Cladosporium bambusicola (VIC 44237, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–F. Conidiophore and bigger conidia. G–H. Conidiophores and smaller conidia. I. Stromatic hyphal aggregation. J–K. Micronematous conidiophores. L. Ramoconidia and conidia. M. Microcyclic conidiogenesis. Scale bars: E = 50 µM; F–M = 20 µM. in Six new species of Cladosporium associated with decayed leaves of native bamboo (Bambusoideae) in a fragment of Brazilian Atlantic Forest
FIGURE. Cladosporium bambusicola (VIC 44237, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–F. Conidiophore and bigger conidia. G–H. Conidiophores and smaller conidia. I. Stromatic hyphal aggregation. J–K. Micronematous conidiophores. L. Ramoconidia and conidia. M. Microcyclic conidiogenesis. Scale bars: E = 50 µM; F–M = 20 µM.
FIGURE. Cladosporium aulonemiae (VIC 44413, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–G. Macronematous conidiophores and numerous conidia; H–I. Formation of loci in close succession; I. Spread polysaccharide-like material; J. Micronematous conidiophores; K. Ramoconidia and conidia; L. Microcyclic conidiogenesis; M. Stromatic hyphal aggregation. Scale bars: E–M = 20 µM. in Six new species of Cladosporium associated with decayed leaves of native bamboo (Bambusoideae) in a fragment of Brazilian Atlantic Forest
FIGURE. Cladosporium aulonemiae (VIC 44413, holotype). A–D. Colonies on A. Potato dextrose agar; B. Malt extract agar; C. Oatmeal agar; D. Synthetic nutrient-poor agar, after 14 days at 25 ºC, under near-ultraviolet light, respectively. E–G. Macronematous conidiophores and numerous conidia; H–I. Formation of loci in close succession; I. Spread polysaccharide-like material; J. Micronematous conidiophores; K. Ramoconidia and conidia; L. Microcyclic conidiogenesis; M. Stromatic hyphal aggregation. Scale bars: E–M = 20 µM.
Effect of Project Management Practices on the Improvement of Irish Potatoes Value Chain Project: A Case of SDGP Project in Musanze District, Rwanda (2020-2022)
<p><span>This study investigates the impact of project management practices on the improvement of the Irish potatoes value chain project in Musanze District, Rwanda. It focuses on assessing the effects of project planning, implementation, and monitoring and evaluation on the project's success. Using a census method due to a small target population of 135, which included SDGP staff and local agricultural representatives, the study utilized both primary and secondary data, analyzed through descriptive and inferential statistics in SPSS.</span></p> <p><span>The results indicate that project management practices, particularly planning, implementation, and monitoring and evaluation, have a strong positive correlation with project improvement. However, the study also highlights some areas of concern, such as inadequate detailed planning and beneficiary involvement. With an R-squared value of .862, these practices explain 86.2% of the variations in project improvement.</span></p> <p><span>Conclusively, the study affirms that effective project management significantly enhances the Irish potatoes value chain project in Musanze District. Recommendations include refining the planning process, enhancing beneficiary involvement, improving risk management during implementation, and ensuring effective communication and use of monitoring and evaluation findings to foster better project outcomes.</span></p> <p><span>Top of Form</span></p> <p><strong><span>Key words:</span></strong><span> </span><span>project management practices, project improvement, project planning, project </span></p>
Leaf necrosis of potato leaves infected with Phytophthora infestans
<p>This dataset contains observations on the development of necrosis and sporangia on potato leaves post-inoculation with <em>Phytophthora infestans</em>. It includes data on various potato genotypes (Capiro, Única, Suprema, Margarita) and tracks parameters such as the number of affected leaflets and leaves, the presence of necrotic spots of different sizes, and the extent of necrotic and sporangia-infected areas. The dataset is valuable for understanding the progression and impact of <em>Phytophthora infestans</em> on potato plants, aiding in the study of plant pathology and disease management.</p>
Hyperspectral imaging dataset of potato plants exposed to water-deficit condition
<p><strong>An experiment:</strong></p> <ul> <li>Greenhouse experiment under controlled environmental conditions.</li> <li>Conducted at the Agricultural Institute of Slovenia (Ljubljana, Slovenia). </li> <li>From April to August 2021.</li> <li>A night/day temperature of 21 °C/15 °C; relative humidity of 60%, and photoperiod of 14h.</li> <li>28 cultivars of KIS Krka and 18 of KIS Savinja grown from tubers in 5-litre pots.</li> <li>5 weeks after planting, half plants of both cultivars were randomly assigned to either water-deficient or well-watered groups. </li> <li>The water-deficient group was exposed to a limited water irrigation regime, i.e., up to 50% of substrate saturation field capacity. </li> <li>The soil moisture was surveilled using tensiometers (14.04.04 Jett Fill tensiometers, Eijkelkamp, Giesbeek Netherlands).</li> <li>Throughout the duration of the experiment, the matric potential of the soil was maintained within the range -0,01 MPa to -0,025 MPa for well-watered plants, and -0,05 MPa to -0,07 MPa for water-deficient plants. </li> </ul> <p> </p> <p><strong>Hyperspectral imaging: </strong></p> <ul> <li>Every week after the deficit was introduced.</li> <li>Total of 5 imaging sessions were performed.</li> <li>The imaging sessions took place in a dark room, where cameras were positioned at a 3 m distance from the potato plants, together with calibrated halogen lamps.</li> <li>Hyperspectral images were acquired in the VNIR (visible to near infrared) and SWIR (short-wave infrared) spectral regions. </li> <li>Hyspex (Norsk Elektro Optikk, Oslo Norway) push-broom cameras VNIR-1600 (400–988 nm, 160 bands, bandwidth 3.6 nm) and SWIR-384 (950–2500 nm, 288 bands, bandwidth 5.4 nm) were used.</li> </ul> <p> </p> <p><strong>Files:</strong></p> <ul> <li> <p><strong>File structure:</strong></p> </li> </ul> <p> 📂 imagings<br> ├── 📁 imaging-1<br> │ ├── 📄 0_1_0__KK-K-04_KS-K-05_KK-S-03__imaging-1__1-22_20000_us_2x_HSNR02_ 2022-05-11T104633_corr_rad_f32.hdr<br> │ ├── 📄 0_1_0__KK-K-04_KS-K-05_KK-S-03__imaging-1__1-22_20000_us_2x_HSNR02_2022-05-11T104633_corr_rad_f32.img<br> │ └── 📄 ...<br> ├── 📁 imaging-2<br> │ └── 📄 ...<br> ├── 📁 imaging-3<br> │ └── 📄 ...<br> ├── 📁 imaging-4<br> │ └── 📄 ...<br> └── 📁 imaging-5<br> └── 📄 ...</p> <p> </p> <ul> <li> <p><strong>Description of a name:</strong></p> </li> </ul> <p>A_B_C__L1_L2_L3__imaging-X__ID.img -> image file</p> <p>A_B_C__L1_L2_L3__imaging-X__ID.hdr -> header file belonging to an image file</p> <p> </p> <p>A - index of original raw hyperspectral image</p> <p>B - index of an object on the image (of a particular potato plant)</p> <p>C - index of slice extracted from the image</p> <p>L - labels of plants on the image</p> <p>X - index of the imaging session</p> <p>ID - string identifier</p> <p> </p> <ul> <li> <p><strong>Description of labels (L):</strong></p> </li> </ul> <p>V-T-N (e.g. KK-K-04)</p> <p> </p> <p>V - variety (KK - KIS Krka or KS - KIS Savinja)</p> <p>T - treatment (K - control or S, drought)</p> <p>N - index of a particular plant</p> <p> </p> <ul> <li> <p><strong>Image properties:</strong></p> </li> </ul> <p>Width of the image: 64</p> <p>Height of the image: 64</p> <p>Number of spectral bands: 448</p> <p>Spectral range: 410nm - 2510nm</p> <p>Image values are expressed in reflectance</p> <p> </p> <p><strong>Additional links:</strong></p> <p>Code where the dataset was used for the entire analysis could be found here:</p> <p>https://github.com/Manuscripts-code/Potato-plants-drought--plants-2024</p> <p> </p>
Cytoscape session for the potato knowledge graph extracted with IBM Watson's supervised NLP model
<p>2 cytoscape session files (.cys) representing the genotypic-phenotypic knowledge networks retrieved from scientific literature using IBM Watson. Input to these files were the following: </p> <ul> <li>cytoscapeSession_trainingSet: A training set of 34 full-test articles about potato flesh color</li> <li>cytoscapesession_testSet: A testing set of a 4023 abstracts from PubMed.</li> </ul> <p> </p>
Fruit and Vegetable Products Enriched With Fibre From Potato Starch With Prebiotic Properties for Children and Youth
ClinicalTrials.gov study NCT05140070. IPD Sharing: YES. Countries: 1. Publications: 7.
Glycemic Index and Polyphenol Bioavailability of Potatoes
ClinicalTrials.gov study NCT01053793. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Biomarkers of Meats and Potatoes Intake
ClinicalTrials.gov study NCT04548362. IPD Sharing: YES. Countries: 1. Publications: 2.
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International Brain Laboratory public data
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OpenNeuro
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