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330 results for “seed plants”
Figure 4 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 4. Soybean density in August after all weed management treatments were applied. Data were pooled across all site-years. Similar letters above bars indicate no significant difference using Fisher's LSD test (P> 0.05). Error bars are standard errors, and treatments are abbreviated: NC, nontreated control; SR, seeding rate; IM, interrow mower; WZ, Weed Zapper™.
Figure 8 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 8. Soybean yield from each weed management treatment pooled across fields. Yield is dry weight corrected to 13% moisture. Similar letters above bars indicate no significant difference using Fisher's LSD test (P> 0.05). Error bars are standard errors, and treatments are abbreviated: NC, nontreated control; SR, seeding rate; IM, interrow mower; WZ, Weed Zapper™.
Figure 1 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 1. The interrow mower used in this experiment, attached to a John DeereṜ 5100R tractor with a three-point hitch. The mower is powered with a hydraulic system and was custom made by IRM X4, R-Tech Industries (Homewood, MB, Canada).
Figure 2. The model 6R30 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 2. The model 6R30 Weed Zapper™ used in this experiment. The generator is attached to the back of a John DeereṜ 5100R tractor with a three-point hitch. The 4.6-m electric copper boom is attached to the front of the tractor with a three-point hitch. The Weed Zapper™ was purchased from Old School Manufacturing (Sedalia, MO, USA).
Figure 3 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 3. Monthly temperature and precipitation in Aurora, NY, USA, in 2021 and 2022. Pink lines indicate 30-yr average.
Figure 1 in Crop physiological considerations for combining variable-density planting to optimize seed costs and weed suppression
Figure 1. Schematic representation of (A) an aerial image using an unmanned aerial vehicle (UAV) to scout fields in year 1, (B) detection of areas of high (orange) and low (yellow) weed density in year 1, and (C) implementation of year 1 weed maps to calibrate precision planter to plant in high (red) and low (green) crop densities in year 2.
Figure 2 in Crop physiological considerations for combining variable-density planting to optimize seed costs and weed suppression
Figure 2. Schematic diagram representing the workflow process of the area planting optimization model. The graph on the bottom left corresponds to low-density planting yields of maize (red circles, solid line, y = 288.5 − 2.07x), cotton (gray triangles, dashed line, y = 176 − 1.58x), and soybean (blue squares, dotted line, y = 86.5 − 0.70x) in g seed−1.
Figure 2 in In vitro study of antimicrobial activity of some plant seeds against bacterial strains causing food poisoning diseases
Figure 2. MIC's of the effective plant seeds powder against S. aureus and K. pneumonia, ± standard error.
Figure 1 in Potential of indigenous plants seed extracts of Anisophyllea boehmii and Aframomum sanguineum from Burundi to protect against oil oxidation
Figure 1. Reduction of the oxidation of the oil subjected to the sun by the extract of A. sanguinum (CS: control sample).
Figure 4 in Potential of indigenous plants seed extracts of Anisophyllea boehmii and Aframomum sanguineum from Burundi to protect against oil oxidation
Figure 4. Reduction of oxidation of oil subjected to 180°C by the extract of A. sanguineum (CS: control sample).
Figure 3 in Potential of indigenous plants seed extracts of Anisophyllea boehmii and Aframomum sanguineum from Burundi to protect against oil oxidation
Figure 3. Reduction of oxidation of oil subjected to 180°C by the extract of A. boehmii (CS: control sample).
Figure 2 in Potential of indigenous plants seed extracts of Anisophyllea boehmii and Aframomum sanguineum from Burundi to protect against oil oxidation
Figure 2. Reduction of the oxidation of oil subjected to the sun by the extract of A.sanguineum (CS: control sample).
F I G U R E 2 in Current progress and future prospects for understanding genetic diversity of seed plants in China
F I G U R E 2 Number of articles on genetic diversity for seed plants in different fields. The data comes from the results of Web of Science (www.webofscience.com/wos/alldb/basic‐search, accessed: January 17th, 2024) using the search rule: TS = (seed plant genetic diversity) OR TS = (flowering plant genetic diversity) OR TS = (germplasm genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity). The numbers in parentheses represent the number of articles published in different fields. The overlapping areas show studies that cover multiple fields.
F I G U R E 1 in Current progress and future prospects for understanding genetic diversity of seed plants in China
F I G U R E 1 Number of articles on genetic diversity in different sequencing stages, with lines of red, blue, and green representing studies for all organisms, plants, and seed plants, respectively. Molecular markers and their first published time are provided in the blue boxes. Three major public databases (NCBI, EMBL, and BioSino) and their established time are shown in the red boxes. The data comes from the results of Web of Science (www.webofscience.com/wos/alldb/basic‐search, accessed: January 17th, 2024) using the search rules: TS = (genetic diversity) for all, TS = (plants genetic diversity) OR TS = (ferns genetic diversity) OR TS = (moss genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity) for plants, and TS = (seed plant genetic diversity) OR TS = (flowering plant genetic diversity) OR TS = (germplasm genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity) for seed plants.
Linked collectors and determiners for: Field Museum of Natural History (Botany) Seed Plant Collection.
Natural history specimen data linked to collectors and determiners held within, "Field Museum of Natural History (Botany) Seed Plant Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/90c853e6-56bd-480b-8e8f-6285c3f8d42b">https://bionomia.net/dataset/90c853e6-56bd-480b-8e8f-6285c3f8d42b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/90c853e6-56bd-480b-8e8f-6285c3f8d42b">https://gbif.org/dataset/90c853e6-56bd-480b-8e8f-6285c3f8d42b</a>. Formatted as a Frictionless Data package.
Figure 1 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 1. Comparison between expected (filled bars) and observed (open bars) entropy values in the proportion of fruits with different numbers of locules within individual plants. Expected values according to a null hypothesis of random production of fruits (n550, x2590.76, df53, P,0.001).
Figure 3 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 3. Sample variances and frequency distribution functions of proportion of the fruit destroyed by insect predators for different types of fruits (with 7–10 locules). Variance decreases when increasing locule number (Gamma correlation: z522.04; P,0.05). Least squares fitting line is shown to facilitate visualization.
Figure 2 in Seed predation heterogeneity in the loculate fruits of a Mediterranean bushy plant
Figure 2. Frequency distribution of fruits with different numbers of locules (random sample of 550 fruits).
Fig.1. Bipartite graph depicting a plant-animal mutualistic network involving 10 in The Role Of Macaca Spp. (Primates: Cercopithecidae) In Seed Dispersal Networks
Fig.1. Bipartite graph depicting a plant-animal mutualistic network involving 10 frugivores (left) and 170 of the plant species (right) they disperse at Khao Yai National Park, Thailand. The list of plant species is based on Kitamura et al. (2002), then the list of frugivores dispersing each species has been completed thanks to data from bin Kassim (1987), Kitamura et al. (2005), Datta & Rawat (2008), Brockelman (2009), McConkey & Brockelman (2011), Albert et al. (2013), Ngoprasert (2012), Khamcha (pers. comm.), Latinne (pers. comm.), Martmoon (pers. comm.).
Text-fig. 56. Number of specimens and number of species for the four major plant groups recovered in the Torres Vedras mesofossil flora. Unidentified specimens such as seed fragments, stamen fragments without pollen grains, coprolites without recognizable plant fragments and strongly distorted specimens are not included in this overview. in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 56. Number of specimens and number of species for the four major plant groups recovered in the Torres Vedras mesofossil flora. Unidentified specimens such as seed fragments, stamen fragments without pollen grains, coprolites without recognizable plant fragments and strongly distorted specimens are not included in this overview.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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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.