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288 results for “corn”
Fig. 3. Evolutionary analysis conducted through a neighbor-joining phylogenetic tree between the cox1 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 3. Evolutionary analysis conducted through a neighbor-joining phylogenetic tree between the cox1 mini-barcode sequences obtained for the red speckled nymphs and Idiodonus wickhami (Hemiptera: Cicadellidae) (both marked with a circle) with reference sequences from GenBank. Bar 5 substitution in 100 positions.
Fig. 4. Evolutionary analysis conducted through a neighbor-joining phylogenetic tree between the 16S in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 4. Evolutionary analysis conducted through a neighbor-joining phylogenetic tree between the 16S rRNA sequences amplified in this study from phytoplasma DNA, bar 1 substitution in 100 positions. Sequences in the grey square belong to the subgroup 16SrI-B. Sequences amplified from leafoppers (Hemiptera: Cicadellidae) Dalbulus elimatus marked with a circle and from Idiodonus wickhami marked with a square.
Fig. 7 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 7. Single nucleotide polymorphism of cpn60 UT sequences amplified from Dalbulus elimatus and Idiodonus wickhami compared with the 16SrI-B strains maize bushy stunt-Col (AB599712), maize bushy stunt-Pueb (KT444672), maize bushy stunt-Ver (KT444673), AVUT (AB599686), AY-27 (AB599688), and AY2192 (AB599687). (A) Similarities between the maize bushy stunt strains and the sequences obtained from the leafoppers. (B) Similarity between maize bushy stuntPueb and the phytoplasma detected associated with Idiodonus wickhami and similarity between maize bushy stunt-Col and maize bushy stunt-Ver with the phytoplasma associated with Dalbulus elimatus, based on SNP in cpn60 UT sequences.
Fig. 2 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 2. Idiodonus wickhami Ball. (Hemiptera: Cicadellidae). (A) Dorsal view, (B) ventral view, (C) vertex, pronotum and scutellum, (D) Male genitalia, (E-G) I. wickhami nymphs.
Fig. 6. Electrophoresis agarose gel showing RFLP pattern comparison between the F2 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 6. Electrophoresis agarose gel showing RFLP pattern comparison between the F2nR2 sequences amplified from Dalbulus elimatus and Idiodonus wickhami digested with AluI, BstUI, HaeIII, HinfI, and Tsp509I. Molecular weight (MW) marker, 1 kb plus.
Fig. 1 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 1. Six of the 7 leafopper genera (Hemiptera: Cicadellidae) detected in this study. Dorsal view of: (A) Dalbulus, (B) Macrosteles, (C) Amblysellus, (D) Graphocephala, (E) Erythridula, (F) Empoasca.
Fig. 3 in Diversity and density-dependence relationship between hymenopteran egg parasitoids and the corn leafopper (Hemiptera: Cicadellidae) in maize agroecosystem vs. teosinte wild habitat
Fig. 3. Relationship between the number of exposed Dalbulus maidis eggs and number of Anagrus virlai within the crop maize habitat on (A) maize sentinel plants, and (B) teosinte sentinel plants.
Fig. 1 in Diversity and density-dependence relationship between hymenopteran egg parasitoids and the corn leafopper (Hemiptera: Cicadellidae) in maize agroecosystem vs. teosinte wild habitat
Fig. 1. Relationship between the number of exposed Dalbulus maidis eggs and number of adult parasitoids (of any species) found in the crop maize habitat on (A) maize sentinel plants, and (B) teosinte sentinel plants.
Figure 1 in Influence of Mycorrhizae and Irrigation on Growth and Mineral Uptake by Corn (Zea mays L.) Seedlings in a Calcareous Soil
Figure 1. Average of shoot and root biomass (g/plant), leaf width (cm), and chlorophyll SPAD reading of corn seedlings grown in Guam cobbly clay soil, either inoculated (■) or not inoculated (♦) with Glomus aggregatum, and provided one of four volumes of water: W1=7200 mL, W2=3600 mL, W3=1800 mL, and W4=900 mL during a 3-week experiment. Crossbars represent standard deviations of means with four replications.
Linked collectors and determiners for: Colección Oológica Cornelis Johannes Marinkelle CJM del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt.
Natural history specimen data linked to collectors and determiners held within, "Colección Oológica Cornelis Johannes Marinkelle CJM del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e51b8857-2ad1-4701-a276-f0cd1f4cc6a5">https://bionomia.net/dataset/e51b8857-2ad1-4701-a276-f0cd1f4cc6a5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e51b8857-2ad1-4701-a276-f0cd1f4cc6a5">https://gbif.org/dataset/e51b8857-2ad1-4701-a276-f0cd1f4cc6a5</a>. Formatted as a Frictionless Data package.
Extracellular vesicles from Fusarium graminearum contain protein effectors expressed during infection of corn
<p><em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>) is a devastating filamentous fungal pathogen that causes diseases in cereals, while producing mycotoxins that are toxic for humans and animals, and render grains unusable. Low efficiency in managing <em>Fgr</em> poses a constant need for identifying novel control mechanisms. Evidence that fungal extracellular vesicles (EVs) from pathogenic yeast have a role in human disease led us to question whether this is also true for fungal plant pathogens. We separated EVs from <em>Fgr</em> and performed a proteomic analysis to determine if EVs carry proteins with potential roles in pathogenesis. We revealed that protein effectors, which are crucial for fungal virulence, were detected in EV preparations and some of them did not contain predicted secretion signals. Furthermore, a transcriptomic analysis of corn (<em>Zea</em> <em>mays</em>) plants infected by <em>Fgr</em> revealed that the genes of some of the effectors were highly expressed in vivo, suggesting that the <em>Fgr</em> EVs are a mechanism for the unconventional secretion of effectors and virulence factors. Our results expand the knowledge on fungal EVs in plant pathogenesis and cross-kingdom communication, and may contribute to the discovery of new antifungals.</p> <p>The following are available online at www.mdpi.com/xxx/s1, Figure S1. Controls for the separation of EVs from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>) by SEC. Figure S2. The superoxide dismutase [Cu-Zn] (SOD1) from F. <em>graminearum</em> (<em>Fgr</em>) contains a diacidic amino acid motif implicated in unconventional secretion. Figure S3. Sequence alignment of the chitinase GH18 domain. Figure S4. Computational prediction of effector candidates detected in EV samples from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S1. List of proteins detected in EVs from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S2. List of proteins employed in the computational effector prediction analysis. Table S3. Proteins identified in the secretome from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S4. List of transcripts identified in corn (<em>Zea</em> <em>mays</em>) infected by <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S5. Gene expression values per biological replicate.</p>
Dataset and code supporting Cornelis et al. 2023. Stuck in the weeds: Invasive grasses reduce tiger snake movement
<p>Data and code used in the publication:</p> <p>Cornelis, J., Cooper, C. E., Lettoof, D. C., Mayer, M., Marshall, B. M. 2023 Stuck in the weeds: Invasive grasses reduce tiger snake movement. bioRxiv 2023.03.06.531246; doi: https://doi.org/10.1101/2023.03.06.531246</p> <p>Includes telemetry data, aKDE, dBBMM, and Bayesian model specification and results, code to reproduce analysis and generate figures </p> <p> </p> <div> </div>
Data from: Subtle responses of soil bacterial communities to corn-soybean-wheat rotation
<p>Crop rotational diversity can improve crop productivity and soil health and boost soil microbial diversity. This research hypothesized that a three-year rotation of corn-soybean-wheat (CSW), compared to a two-year corn-soybean (CS) rotation, would result in a more diverse and more complex soil bacterial community, together with a greater abundance of beneficial bacteria. This was evaluated in a replicated experiment established in 2013 at two locations in Ohio (USA). The soil bacterial communities under soybean were compared between CS and CSW, at both studied sites, in 2018 and 2019, through 16S rDNA amplicon metabarcoding. </p>
Experimental Assessment of Laser Scarecrows for Reducing Avian Damage to Sweet Corn
<p>Datasets and metadata for analyses presented in an article "Experimental Assessment of Laser Scarecrows for Reducing Avian Damage to Sweet Corn" submitted to Pest Management Science, June 2023.</p>
Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems
<p>Cellulosic bioenergy is a primary land-based climate mitigation strategy, with soil carbon (C) storage and nitrogen (N) conservation as important mitigation elements. Here, we present 13 years of soil C and N change under three cellulosic cropping systems: monoculture switchgrass (<em>Panicum virgatum</em> L.), a five native grasses polyculture, and no-till corn (<em>Zea mays</em> L.). Soil C and N fractions were measured four times over 12 years. Bulk soil C in the 0–25 cm depth at the end of the study period ranged from 28.4 (± 1.4 se) Mg C ha<sup>−1</sup> in no-till corn, to 30.8 (± 1.4) Mg C ha<sup>−1</sup> in switchgrass, and to 34.8 (± 1.4) Mg C ha<sup>−1</sup> in native grasses. Mineral-associated organic matter (MAOM) ranged from 60% to 90% and particulate organic matter (POM) from 10% to 40% of total soil C. Over 12 years, total C as well as both C fractions persisted under no-till corn and switchgrass and increased under native grasses. In contrast, POM N stocks decreased 33% to 45% across systems, whereas MAOM N decreased by less than 13% and only in no-till corn. Declining POM N stocks likely reflect pre-establishment land use, which included alfalfa and manure in earlier rotations. Root production and large soil aggregate formation explained 69% (p < 0.001) and 36% (p = 0.024) of total soil C change, respectively, and 60% (p = 0.020) and 41% (p = 0.023) of soil N change, demonstrating the importance of belowground productivity and soil aggregates for producing and protecting soil C and conserving soil N. Differences between switchgrass and native grasses also indicate a dependence on plant diversity. Soil C and N benefits of bioenergy crops depend strongly on root productivity and pre-establishment land use.</p>
Data Sets: Experimental Assessment of Laser Scarecrows for Reducing Avian Damage to Sweet Corn
<p>This archive contains 2 data sets and a word doc with metadata and code for statistical analyses used within the manuscript entitled</p> <p><strong>Experimental Assessment of Laser Scarecrows for Reducing Avian Damage to Sweet Corn</strong></p> <p>by</p> <p>Sean T. Manz, Kathryn E. Sieving, Rebecca N. Brown, Page E. Klug, Bryan M. Kluever</p> <p>in press at Pest Management Science as of September 2023.</p>
Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems
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Preventative insecticides reduce seedling injury, but do not increase yield in Bt and non-Bt corn grown in the Mid-Atlantic
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Data from: Subtle responses of soil bacterial communities to corn-soybean-wheat rotation
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Cover crop application on dredged sediments increases corn yield through microorganism-associated enzyme-driven nutrient mineralization.
Common strategies to mitigate soil degradation of agricultural soils include cover crop application and soil amendment addition. Applying dredged sediments as a soil amendment is gaining popularity since they often provide benefits other amendments lack; however, their use with a cover crop is largely unexplored. To understand how cover crop use changes the restorative properties of dredged sediments, we assessed soil physical and chemical properties, enzymatic activities, and corn yield for plots of dredged sediments with and without a cover crop. Cover crop application on dredged sediments increased corn yields by ~24% when compared to dredged sediments alone. Increases in corn yield were driven by changes in nutrient mineralization, specifically within the nitrogen cycle. The physical and chemical properties of dredged sediments remained unchanged regardless of cover crop application. Our results suggest that when cover crops are applied to dredged sediments, crop yield increased through microorganism-driven nutrient mineralization. However, the physical and chemical environment remained optimal for corn growth within dredged sediments, regardless of cover crop application. This research is a vital step into understanding the use of dredged sediments in agricultural soil systems.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.