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85 results for “crop species”
Influence of soil amendment and crop species on nutrient cycling in a St. Paul urban garden, 2017-2023
An experiment was conducted from 2017-2023 at the University of St. Thomas research garden (Saint Paul, MN) to determine rates of nutrient recycling and loss from compost applied to urban gardens. Thirty-two 4 m2 study plots received one of six different soil amendment treatments, with four different crops growing on each plot. Meteorological data includes hourly measurements of rainfall, solar radiation, temperature and relative humidity, and wind speed and direction, from June 2017-October 2023. Hourly soil moisture measurements were recorded at depths of 10 cm, 20 cm, and 30 cm, from June-December 2021, June-October 2022, and June-October 2023. Annual crop harvest totals from each subplot are reported for 2017-2023. Leachate was collected from lysimeters installed in each of the 132 subplots weekly from June-October of each year (2017-2023), recording total volume. Leachate subsamples were analyzed for NO3-N, NH4-N, and PO4-P. Soil samples were collected at the beginning and end of the growing season in 2017, and every two weeks during the growing season from 2018-2023, and analyzed for pH, organic matter, Bray-1 extractable P, available K, nitrate, and ammonium, at the University of Minnesota Analytical Research Laboratory.
Seed mass data for crop species and wild progenitors
<p>Data supporting a comparison of seed masses in crop species and their wild progenitors.</p> <p>The data files which fed into the analysis reported in the paper are:</p> <ul> <li>Grass_crops_raw.csv</li> <li>Legume_crops_raw.csv</li> <li>Veg crops combined.csv</li> <li>Beet_seeds_dissected.csv - mass of true seeds of beet; the data in the main 'Veg crops' file are for beet seed capsules, which are easier to collect and weigh.</li> <li>Cassava_EMBRAPA_*.csv - extra seed mass data from cassava, analysed separately from the main data, and described in supplementary material 2.</li> </ul> <p>Scripts used in processing the data (*.py) and a Makefile controlling some processing steps are included.</p> <p>There is also some extra data collected on other species of vegetable crops: <em>Brassica </em>spp., Chicory & Endive (<em>Cichorium </em>spp.), Leek (<em>Allium ampeloprasum</em>), and on fibre crops: Kenaf & Roselle (<em>Hibiscus </em>spp.), Jute (<em>Corchorus olitorius</em>), Hemp (<em>Linum</em> spp.). The data available for these was not sufficient to include them in our analysis, but they are provided here anyway.</p>
Germination of crop species in response to whole-soil inoculants that originate from conventional vs organic farming systems
<p>Dataset of manuscript entitled “Germination of crop species in response to whole-soil inoculants that originate from conventional vs organic farming systems”. This manuscript includes the results of WP2 from the SOFT project (ref. 890874).</p>
Data and code from: A mixture of grass-legume cover crop species may ameliorate water stress in a changing climate, a greenhouse experiment at Dickinson College in Carlisle, PA, USA, 2021.
Data and R code associated with a greenhouse study investigating the influence of water stress on growth, root traits, and biomass of rye and crimson clover seedlings grown separately or together. Data were collected in the Dr. Inge P. Stafford Greenhouse of Dickinson College (Carlisle PA, USA) in June 2021.
Fig. 2 in On the proper type designation for Camelina microcarpa, a wild relative and possible progenitor of the crop species C. sativa (Brassicaceae)
Fig. 2. – Isotype of Camelina microcarpa Andrz. ex DC. [KW, Besser herbarium: KW001003104; © National Herbarium of Ukraine, Kiev]
Fig. 1 in On the proper type designation for Camelina microcarpa, a wild relative and possible progenitor of the crop species C. sativa (Brassicaceae)
Fig. 1. – Isotype of Camelina microcarpa Andrz. ex DC. [KW, Besser herbarium: KW001003103; © National Herbarium of Ukraine, Kiev]
Rare and declining bee species are key to consistent pollination of wildflowers and crops across large spatial scales
<p>Biodiversity promotes ecosystem function in experiments, but it remains uncertain how biodiversity loss affects function in larger-scale natural ecosystems, where rare and declining species which are likely to be lost and function needs to be maintained across space and time. Here we explore the importance of rare and declining bee species to the pollination of three wildflowers and three crops using large-scale (72 sites across 5,000 km2), multi-year datasets. Half (82/164) bee species were rare or declining, but these species provided ~15% of overall pollination. To determine the number of species important to ecosystem function, we used two methods of 'scaling up', both of which have previously been used for biodiversity-function analysis. First, we summed bee species' contributions to pollination across space and time and then found the minimum set of species needed to provide a threshold level of function across all sites; according to this method, effectively no rare and declining bee species were important to pollination. Second, we account for the "insurance value" of biodiversity by finding the minimum set of bee species needed to simultaneously provide a threshold level of function at each site in each year. The second method leads to the conclusion that 25 rare and eight declining bee species (36% and 53% of all rare and declining bee species, respectively) are important. Our findings provide some of the strongest evidence yet for the importance of rare and declining species, thereby providing a more direct link between real-world biodiversity loss and ecosystem function.</p>
Data from: Evaluation of a low-cost staining method for improved visualization of sweet potato whitefly (Bemisia tabaci) eggs on multiple crop plant species
<p>The sweet potato whitefly (Bemisia tabaci) is a damaging insect pest that feeds on hundreds of crop plants. Oviposition rate is a useful metric to screen plants for whitefly resistance. Whitefly eggs are small and translucent, and can therefore be hard to count on the leaves of some crops. In this research, we tested a selective egg staining process on five crop species to determine if egg staining can improve the visualization and quantification of whitefly eggs. By comparing the egg counts before and after staining using two-sample Wilcoxon signed-rank tests (a non-parametric test for paired analyses). Two individuals counted the eggs, and for both these counters we found a significant increase in the number of visible eggs after staining on melon, tomato, and cowpea. This method could be applied to improve phenotyping for whitefly resistance in plant breeding applications.</p>
Fig. 3 in Comparison of carabid densities in different cover crop species in north Florida
Fig. 3 Number of Selenophorus palliatus found in 2 sunn hemp germplasm lines in plots planted in Mar 2016 in Tallahassee, Florida (mean ± SE; n = 8).
Fig. 2 in Comparison of carabid densities in different cover crop species in north Florida
Fig. 2 Number of predator carabid species found in 2 sunn hemp germplasm lines in plots planted in Mar 2016 in Tallahassee, Florida (mean ± SE; n = 8).
Fig. 1 in Interactions of selected species of stink bugs (Hemiptera: Heteroptera: Pentatomidae) from leguminous crops with plants in the Neotropics
Fig. 1. Total records of plants associated with different species of stink bugs pests of legumes (Fabaceae) in the neotropics based on literature review. The dark line links the different values as follows: (A) = number of plant species on where each stink bug species was observed; (B) = number of plant families on where each species of stink bug was observed; and (C) = number of reproductive hosts (plants on which bug can complete development) on where each species of stink bug was observed. Note that the area for total plant species in (A) is much greater that the one for reproductive hosts in (C), indicating that on the majority of the plants the bugs are observed they do not reproduce. NV = Nezara viridula; PG = Piezodorus guildinii; EH = Euschistus heros; EM = Edessa meditabunda; DF = Dichelops furcatus; DM = Dichelops melacanthus; and TP = Thyanta perditor.
Figure 4 in The amount of mulch increases the abundance, and its composition the species diversity of springtails in crop rotation on chernozem soils
Figure 4. Non-metric PCoA plots of the Collembola community The Jaccard similarity coefficient was taken as the distance between dots. (A) plant residues of peas, (B) plant residues of wheat.
Fig. 1 in Identification of thrips species and resistance of Frankliniella occidentalis (Thysanoptera: Thripidae) to malathion, spinosad, and bifenthrin in blackberry crops
Fig. 1. Phylogenetic consensus tree resulting from Bayesian inference based on COI mitochondrial DNA partial sequences showing the relationship of 11 thrips samples collected from commercial blackberry plots in Michoacán and Jalisco, Mexico. The sample numbers correspond to Ziracuaretiro (24, 58, 8, 7, 6, 1, and 63), Tacámbaro (16), Los Reyes de Salgado (12 and 9), and Mazamitla (23). Reference sequences from the different Frankliniella occidentalis haplotypes were downloaded from GenBank.
Figure 6 Arrenurus caboti n in A new species ofArrenurus (Acari, Parasitengona, Hydrachnidia) found in the crop of a Yellow-billed TealAnas flavirostris in Bolivia
Figure 6 Arrenurus caboti n. sp., paratype female: Laser scanning confocal microscope MED (median) image projection and unsharp masking. IV-Leg.
Figure 4 Arrenurus caboti n in A new species ofArrenurus (Acari, Parasitengona, Hydrachnidia) found in the crop of a Yellow-billed TealAnas flavirostris in Bolivia
Figure 4 Arrenurus caboti n. sp., holotype male: Laser scanning confocal microscope MIP images after unsharp masking and background subtraction. A) IV-Leg-1-2; B) IV-Leg-3; C) IV-Leg-4-5; D) IV-Leg-6.
Figure 3 Arrenurus caboti n in A new species ofArrenurus (Acari, Parasitengona, Hydrachnidia) found in the crop of a Yellow-billed TealAnas flavirostris in Bolivia
Figure 3 Arrenurus caboti n. sp., holotype male: A) IV-Leg-1-2; B) IV-Leg-3; C) IV-Leg-4-5; D) IV-Leg-6. Scale bar = 100 μζ.
Dataset for "Species diversity and molecular characterization of Alternaria section Alternaria isolates collected mainly from cereal crops in Canada" by Jeremy R. Dettman, Quinn Eggertson, and Natalie E. Kim
<p>Dataset consists of three files, each containing aligned nucleotide sequences from 559 Alternaria strains. The three sequenced loci are ASA-10, ASA-19, and rpb2. Strain names are stated in the header of each sequence.</p>
Rare and declining bee species are key to consistent pollination of wildflowers and crops across large spatial scales
Open the record for dataset details and reuse information.
Data from: Evaluation of a low-cost staining method for improved visualization of sweet potato whitefly (Bemisia tabaci) eggs on multiple crop plant species
Open the record for dataset details and reuse information.
Forest cover and fruit crop size differentially influence frugivory of select rainforest tree species in Western Ghats, India (Part II)
<p><span><span><span><span><span><span><span><span><span><span><span>Forest fragmentation and habitat loss are major disruptors of plant–frugivore interactions, affecting seed dispersal and altering recruitment patterns of tree species dependent on vertebrate dispersers. In a heterogeneous production landscape (primarily tea and coffee plantations) in the southern Western Ghats, India, we <span><span>examined effects of surrounding forest cover and fruit crop size on frugivory of four rainforest bird-dispersed tree species</span></span> (<i>N</i> = 131 trees, ≥ 30 trees per species, observed for 623 h). Frugivore composition differed among the four tree species with the large-seeded <i>Canarium strictum </i>and<i> Myristica dactyloides</i> exclusively dependent on large-bodied avian frugivores, whereas, medium-seeded <i>Persea macrantha</i> and <i>Heynea trijuga </i>were predominantlyvisited by small-bodied and large-bodied avian frugivores, respectively. Using the seed-dispersal-effectiveness framework, we identified effective frugivores and examined their response to forest cover and fruit crop size. Results were idiosyncratic and governed by plant and frugivore traits. Visitations to medium-seeded <i>Persea </i>had a positive relationship with forest cover but the relationship was negative for the large-seeded <i>Myristica</i>. In addition, two of the three effective frugivores for <i>Persea </i>responded to the interactive effect of forest cover and fruit crop size<i>. </i>Frugivore visitations to <i>Hyenea</i> were not related to forest cover or fruit crop and<i> </i>there were too few visitations to <i>Canarium </i>to discern any trends<i>. </i>These results highlight the context-specific response of plant-frugivore interactions to forest cover and fruit crop size influenced by the plant and frugivore traits.</span></span></span></span></span></span></span></span></span></span></span></p>
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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)
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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.
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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
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