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136 results for “horticulture”
Figure 1. A in A story of becoming a horticultural threat, cypress jewel beetle Lamprodila festiva (Coleoptera, Buprestidae): analytical approach of its European escalation based on bibliographical sources
Figure 1. A spherical coordinate system on Earth is used for calculating the propagation vectors (a). The projection method of the observation points around the hot points as the centres of the new reference coordinate system (b).
Soil biota (earthworm, nematode and soil surface fauna) data of organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Predation activity data in organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Soil laboratory analyses data of organic, permaculture and conventional horticultural farms of Central Hungary
<p>pH (KCl 1:2,5) [-], Arany type texture index [K<sub>A</sub>], Water soluble total salt [m/m%], CaCO<sub>3 </sub>[m/m%], Humus [m/m%], N-NO<sub>2</sub>+NO<sub>3</sub> (KCl soluble) [mg/kg], Mg (KCl soluble) [mg/kg], S (KCl soluble) [mg/kg], K<sub>2</sub>O (AL soluble) [mg/kg], Na (AL soluble) [mg/kg], P<sub>2</sub>O<sub>5</sub> (AL soluble) [mg/kg], Cu (KCl EDTA soluble) [mg/kg] , Mn (KCl EDTA soluble) [mg/kg] , Zn (KCl EDTA soluble) [mg/kg]</p>
A photo of the typical view of organic, permaculture and conventional horticultural farms and a photo of a typical soil profile in a core sampler for each
<p>The pdf file contains an introduction slide (Slide 1) with the list of the introduced farms.</p> <p>There are 15 slides following the introductory file.</p> <p>Each slide has a photo of a horticultural farm, its code and a photo of one of its typical soil profiles.</p> <p>The photo of the profile was made of a soil core sampler that is 100 cm long.</p> <p>In some of the farms, there were multiple profiles revealed and photos were made, here we just show one of these.</p> <p>The majority of the soils are Luvisols but we have some 2 Fluvisols, 2 Chernozems and 2 Fluvisols.</p> <p>More information can be found in a published article: Szilágyi, A.; Plachi, E.; Nagy, P.; Simon, B.; Centeri, C. Assessing Earthworm Populations in Some Hungarian Horticultural Farms: Comparison of Conventional, Organic and Permaculture Farming. <em>Biol. Life Sci. Forum</em> <strong>2021</strong>, <em>2</em>, 11. https://doi.org/10.3390/BDEE2021-09416</p> <p>The purpose of the recent pdf is to provide information for an upcoming article in the journal of Diversity.</p> <p>All soil laboratory analyses have already been published for this purpose:</p> <p>https://zenodo.org/record/5717449#.YeoUYv7MJPY</p>
Combined Biostimulant Applications of Trichoderma spp. with Fatty Acid Mixtures Improve Biocontrol Activity, Horticultural Crop Yield and Nutritional Quality
<p>Raw Data of "Combined Biostimulant Applications of Trichoderma spp. with Fatty Acid Mixtures Improve Biocontrol Activity, Horticultural Crop Yield and Nutritional Quality".</p>
Evaluation of insecticidal properties of botanicals for sustainable management of sucking pests of horticultural crops
<p>The Bioassay data on the insecticidal properties of botanicals <em>viz</em>., <em>Annona squamosa</em>, <em>Ricinus communis</em> and <em>Sapindus</em> <em>mukorossi</em> seed extracts against sucking pests <em>viz.,</em> aphids (<em>Aphis gossypii, A.craccivora</em>)<em> </em>on okra <em>(Abelmoschus esculentus) </em>and bittergourd (<em>Momordica charantia</em>), thrips (<em>Scirtothrips dorsalis</em>) on chilli (<em>Capsicum frutescens</em>), whiteflies (<em>Bemisia tabaci</em>) on eggplant (<em>Solanum melongena)</em>, mealy bugs (<em>Maconellicoccus hirsutus</em>) on betel vine (<em>Piper betle</em>) and mites (<em>Tetranychus urticae</em>) on egg plant (<em>Solanum melongena) </em>under laboratory conditions.</p>
Deidentified Horticulture Import Testing Results
<p>These three datasets contain de-identified data on testing for pests in imports of horticultural products into Australia in a period within 2021-2023. The creator of this data page is distributing the data with the permission of the data owner (emails 14/6/2024, 25/6/2024, 1/7/2024).</p> <p><strong>Dataset anonymized_hort_aggdat_01-07-2024.csv</strong></p> <p>This dataset (anonymized_hort_aggdat_01-07-2024.csv) has one row for each line of fruit or vegetables tested. Consignments of fruits or vegetables are divided into lines (details may depend on the type of fruit or vegetable). 600 units are sampled from each line, where a unit is usually a single fruit or vegetable (rounding may occur, for example if fruit are grouped into punnets). A result is then obtained from each line ("inspection result"). If the result is not Pass, then fumigation or other actions may be taken. The columns of the data are:</p> <table> <tbody> <tr> <td>Variable Name</td> <td>Values</td> <td>Definition</td> </tr> <tr> <td>entry</td> <td>ANONYMIZED_VALUE1, ANONYMIZED_VALUE2, etc</td> <td>anonymised identifier of the consignment</td> </tr> <tr> <td>volume</td> <td>numeric</td> <td>volume of the line</td> </tr> <tr> <td>volume_unit</td> <td> <p>KG – kilograms<br>0<br>GI<br>blank</p> </td> <td>units in which volume is measured (almost always kg)</td> </tr> <tr> <td>arrival_date</td> <td>date</td> <td> </td> </tr> <tr> <td>importer_name</td> <td>ANONYMIZED_VALUE_1, ANONYMIZED_VALUE2 etc</td> <td>anonymised identifer of the importer</td> </tr> <tr> <td>supplier_name</td> <td>ANONYMIZED_VALUE_1, ANONYMIZED_VALUE2 etc</td> <td>anonymised identifer of the supplier</td> </tr> <tr> <td>cargo_type</td> <td> </td> <td>the freight type of the consignment (e.g., FCL and FCX are container types via sea and AIR is air freight)</td> </tr> <tr> <td>port</td> <td>character valued code</td> <td>destination port of the consignment/entry</td> </tr> <tr> <td>country</td> <td>ANONYMIZED_VALUE_1, ANONYMIZED_VALUE2 etc</td> <td>anonymised country of origin</td> </tr> <tr> <td>finalise_type</td> <td> </td> <td>whether the line was released as normal, from biosecurity control, disposed of, destroyed or exported</td> </tr> <tr> <td>document_failure</td> <td>Pass, Fail</td> <td>whether a failure was recorded against a line at onshore document verification. Note: A fail then followed by a pass and goods moving to inspection, will display fail.</td> </tr> <tr> <td>inspection_result</td> <td>Pass, Fail</td> <td>whether a failure was recorded against a line at onshore verification inspection. Note: A fail then followed by a pass and goods being released, will display fail. Lines that qualified for the Compliance-Based Intervention Scheme (CBIS) may not have been inspected as a result. See <a href="https://www.agriculture.gov.au/biosecurity-trade/import/goods/plant-products/risk-return#fresh-fruit-and-vegetables">here</a> for more information about CBIS.</td> </tr> <tr> <td>fumigated</td> <td>Not fumigated, Fumigated</td> <td>Whether line was fumigated</td> </tr> <tr> <td>other_treatment</td> <td>character</td> <td>other remedial treatment applied to the line/entry (reconditioning for seeds)</td> </tr> <tr> <td>cbis_commodity</td> <td> <p>Fresh CBIS, Other</p> </td> <td> <p>"Fresh CBIS" means that the line qualified for the Compliance-Based Intervention Scheme (CBIS) and may not have been inspected as a result. "Other" means that the line did not qualify for CBIS. See <a href="https://www.agriculture.gov.au/biosecurity-trade/import/goods/plant-products/risk-return#fresh-fruit-and-vegetables">here</a> for more information about CBIS.</p> </td> </tr> <tr> <td>actionable</td> <td> </td> <td>Where the department's Science Services Group have determined that detected biosecurity risk material requires remedial action to mitigate biosecurity risk. Note: Seeds are only actioned if a high risk weed seed is detected or were 3 or more species of biosecurity concern are identified.</td> </tr> <tr> <td>commodity</td> <td>character</td> <td>Commodity description</td> </tr> <tr> <td>rcd_nbr</td> <td>1, 2, 3 etc</td> <td>anonymised identifier of line</td> </tr> </tbody> </table> <p> </p> <p><strong>Dataset anonymized_hort_pests_01-07-2024.csv</strong></p> <p>This dataset contains a row for when there is a pest detection. Note that not all pest detections require action. It may be linked to anonymized_hort_aggdat_01-07-2024.csv using rcd_nbr as a key. The columns of the data are:</p> <table> <tbody> <tr> <td>Variable Name</td> <td>Values</td> <td>Definition</td> </tr> <tr> <td>rcd_nbr</td> <td>1, 2, 3 etc</td> <td>anonymised identifier of line</td> </tr> <tr> <td>bottle_number</td> <td>numeric</td> <td>identifier for a particular pest for a particular line</td> </tr> <tr> <td>pest_type</td> <td>Disease, Invertebrate, Plant, Seed, Vertebrate, Na, blank</td> <td>type of potential pest</td> </tr> </tbody> </table> <p> </p> <p><strong>Dataset anonymized_hort_seeds_incidents_01-07-2024.csv</strong></p> <p>This dataset contains a row for seeds detections. Note that not all seed detections require action. It may be linked to anonymized_hort_aggdat_01-07-2024.csv by rcd_nbr as a key and to anonymized_hort_pests_01-07-2024.csv using bottle_number as a key. The columns of the data are:</p> <table> <tbody> <tr> <td>Variable Name</td> <td>Values</td> <td>Definition</td> </tr> <tr> <td>rcd_nbr</td> <td>1, 2, 3 etc</td> <td>anonymised identifier of line</td> </tr> <tr> <td>bottle_number</td> <td>numeric</td> <td>identifier for a particular pest for a particular line</td> </tr> <tr> <td>pest_type</td> <td>Disease, Invertebrate, Plant, Seed, Vertebrate, Na, blank</td> <td>type of potential pest (always equal to Seed in this spreadsheet)</td> </tr> <tr> <td>comments</td> <td>text field</td> <td>comments</td> </tr> <tr> <td>other_treatment</td> <td>Reconditioned, or blank</td> <td>other treatments applied</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Agrobiodiversity and habitat data of organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Pollinator data in organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Phytophthora in horticultural nursery green waste - a risk to plant health
<p>This dataset on Zenodo accompanies the manuscript Schiffer-Forsyth <em>et al.</em> (2023), Phytophthora in horticultural nursery green waste – a risk to plant health.</p> <p>There are two files:</p> <ul> <li>metadata.tsv - plain text table as tab-separated variables</li> <li>raw_data.tar.gz - compressed archive of 81 paired raw FASTQ files</li> </ul> <p>This represents a complete Illumina MiSeq run, with the names of the unrelated samples redacted.</p> <p>To repeat the analysis described in the paper, first install THAPBI PICT. See <a href="https://github.com/peterjc/thapbi-pict/">https://github.com/peterjc/thapbi-pict/ </a>for instructions. At the time of the paper, v0.14.1 was the current release (with a near-identical v1.0.0 expected to be released shortly).</p> <p>Next, decompress the raw data into a folder of paired gzipped FASTQ files. There is no need to decompress those:</p> <pre><code class="language-bash"> $ tar -zxvf raw_data.tar.gz $ ls -1 raw_data/</code></pre> <p>If you wish, verify the checksums to confirm the data integrity:</p> <pre><code class="language-bash"> $ cd raw_data/ $ md5sum -c MD5SUM.txt $ cd ..</code></pre> <p>Setup output directories:</p> <pre><code class="language-bash"> $ mkdir -p intermediate/ summary/</code></pre> <p>You can run the analysis in one step. This should take under five minutes: </p> <pre><code class="language-bash">$ thapbi_pict pipeline -i raw_data/ \ -n raw_data/SynCtrl_*.fastq.gz \ -y raw_data/SynCtrl_*.fastq.gz \ -s intermediate/ -o summary/ \ -t metadata.tsv -x 3 -c 1,2,4,5</code></pre> <p>The options here are as follows:</p> <ul> <li>-i raw_data - input directory of paired raw FASTQ files.</li> <li>-n raw_data/SynCtrl_*.fastq.gz - negative controls used to increase the absolute abundance threshold</li> <li>-y raw_data/SynCtrl_*.fastq.gz - synthetic controls used to increase the fractional abundance threshold</li> <li>-s intermediate/ - optional location to store intermediate files</li> <li>-o summary/ - output location for reports</li> <li>-t metadata.tsv -x 3 -c 1,2,4,5 - show and sort on metadata columns 1, 2, 4 and 5 from metadata.tsv using column 3 to cross-reference the FASTQ filename stems (semi-colon separated lists for replicates).</li> </ul> <p>This assumes the following key default settings:</p> <ul> <li>-a 100 -f 0.001 - default absolute and fractional abundance thresholds</li> <li>-d - - default to the provided ITS1 database</li> </ul> <p>With these settings, only synthetic sequences were found in the controls, and therefore the thresholds were not automatically increased any further.</p> <p>Note some of these options could change in future releases of the software, and in particular there would likely be additional Phytophthora species or sequences in future updates to the default database.</p> <p>Output file summary/ITS1.samples.onebp.xlsx (and .tsv) is equivalent to Table 2 (after pooling replicates, and applying human judgement to resolve ambiguous ITS1 markers shared by multiple species).</p> <p>Note <em>P. austrocedri</em> was identified in three samples, N2-Water_S2 and N2-Water_S22 described in this work, and a third sample REDACTED_S28 from another location.</p>
Effects of urban horticulture on insect pollinator community structure, central Arizona Phoenix: site locations
Insects that pollinate flowering plants are often considered "keystone species," animals that play extremely important roles in ecosystem functioning such that their absence would have more widespread and far-reaching effects than their abundance alone would indicate. For example, the absence of pollinating insects would translate to a severe reduction in plant reproduction, which would in turn affect not only the plants but also seed-eating animals, herbivorous animals, predators of the herbivores, and so on in a trophic cascade. Such a scenario would impact not only wildlife but also human populations because insects pollinate the majority of human food-plants. While the importance of these relationships is acknowledged, surprisingly, little is known about how insect pollinator communities are affected by environmental changes, such as global climate change or urban development. There has recently been a call for research on insect pollinator communities, citing a pressing need to obtain baseline information in the face of probable future environmental changes. The Sonoran Desert has one of the most diverse insect communities in the world (particularly for members of the Order Hymenoptera [bees, wasps, and ants], which perform the lion's share of pollination duties for both native and crop plants). This community may be threatened from the presence of the exotic honeybee and from habitat alteration in the form of urban development. We propose to conduct a pilot study to examine how the pollinator community differs under different forms of urban land use in the Phoenix metropolitan area. We have three research questions: (1) How does the ratio of native species to the exotic honeybee differ among natural desert, urban desert remnants, and residential areas that also have flowering plants? (2) How does insect pollinator community structure (richness and abundance) differ among natural desert, urban desert remnants, and residential areas? and (3) How does insect poll
Effects of urban horticulture on insect pollinator community structure in the central Arizona-Phoenix area
Insects that pollinate flowering plants are often considered "keystone species," animals that play extremely important roles in ecosystem functioning such that their absence would have more widespread and far-reaching effects than their abundance alone would indicate. For example, the absence of pollinating insects would translate to a severe reduction in plant reproduction, which would in turn affect not only the plants but also seed-eating animals, herbivorous animals, predators of the herbivores, and so on in a trophic cascade. Such a scenario would impact not only wildlife but also human populations because insects pollinate the majority of human food-plants. While the importance of these relationships is acknowledged, surprisingly, little is known about how insect pollinator communities are affected by environmental changes, such as global climate change or urban development. There has recently been a call for research on insect pollinator communities, citing a pressing need to obtain baseline information in the face of probable future environmental changes. The Sonoran Desert has one of the most diverse insect communities in the world (particularly for members of the Order Hymenoptera [bees, wasps, and ants], which perform the lion's share of pollination duties for both native and crop plants). This community may be threatened from the presence of the exotic honeybee and from habitat alteration in the form of urban development. We propose to conduct a pilot study to examine how the pollinator community differs under different forms of urban land use in the Phoenix metropolitan area. We have three research questions: (1) How does the ratio of native species to the exotic honeybee differ among natural desert, urban desert remnants, and residential areas that also have flowering plants? (2) How does insect pollinator community structure (richness and abundance) differ among natural desert, urban desert remnants, and residential areas? and (3) How does insect poll
Evaluating the Fertilising Potential of Blended Recovered Nutrients in Horticultural Growing Medium on Viola x wittrockiana L.
<p><i>Viola x wittrockiana</i> L. is an ornamental plant in high demand in horticulture. It is becoming more critical for greenhouse growers to focus on sustainable production to enhance plant quality while reducing negative environmental impacts. Therefore, assessing the effect of recycled phosphorous (P) and nitrogen (N) sources on the growth of viola could become very useful for producers in terms of sustainability. This experiment analysed the optimal fertiliser composition to grow viola using recovered fertilisers in a greenhouse trial under controlled conditions. Well-rooted viola plugs were grown in a standard peat-based growing medium. Using recycled sources of P and N as struvite and potassium struvite, ammonium sulphate, and ammonium nitrate, 14 fertiliser blends were prepared, tested, and compared with the slow-release commercial fertiliser Osmocote. Plants treated with ammonium nitrate showed healthy growth and optimal plant N concentrations. In contrast, most blends using the recovered ammonium sulphate resulted in an unacceptable increase of ammonium concentrations in the growing medium. The combination of ammonium sulphate and potassium sulphate caused an increase in the electrical conductivity in the growing medium, negatively affecting plant growth. However, blend 13 containing struvite, ammonium sulphate and potassium struvite expressed the best chemical composition with non-significant differences in the biomass from the positive controls, as it reduced the amount of potassium sulphate needed. Our results indicate that fertiliser blends containing P as struvite, N as ammonium nitrate or reduced amount of ammonium sulphate, and K as potassium struvite can substitute the use of mineral fertiliser blends to grow ornamental plant species as viola.</p>
FIGURE 7 in Kalanchoe ×forbesiae (Crassulaceae subfam. Kalanchooideae) derived from K. lubangensis × K. sexangularis: towards improved horticultural material
FIGURE 7. Kalanchoe ×forbesiae commemorates Helena M.L. Forbes (1900–1959). Photographer unknown. Photograph © of the South African National Biodiversity Institute. Reproduced with permission.
FIGURE 5 in Kalanchoe ×forbesiae (Crassulaceae subfam. Kalanchooideae) derived from K. lubangensis × K. sexangularis: towards improved horticultural material
FIGURE 5. The leaves of Kalanchoe ×forbesiae are weakly red-infused, but the peduncles, especially higher up, are more intensely redinfused. Photograph: Gideon F. Smith.
FIGURE 3 in Kalanchoe ×forbesiae (Crassulaceae subfam. Kalanchooideae) derived from K. lubangensis × K. sexangularis: towards improved horticultural material
FIGURE 3. Virtually all plant parts of the perennial Kalanchoe sexangularis are strongly red-infused. Photograph: Gideon F. Smith.
FIGURE 6 in Kalanchoe ×forbesiae (Crassulaceae subfam. Kalanchooideae) derived from K. lubangensis × K. sexangularis: towards improved horticultural material
FIGURE 6. The corolla tubes and corolla lobes of K. ×forbesiae are virtually the same yellow colour, with the tubes being only faintly greenish-infused. Photograph: Gideon F. Smith.
FIGURE 4 in Kalanchoe ×forbesiae (Crassulaceae subfam. Kalanchooideae) derived from K. lubangensis × K. sexangularis: towards improved horticultural material
FIGURE 4. The corolla tubes of Kalanchoe sexangularis are light green, like those of K. lubangensis. Photograph: Gideon F. Smith.
FIGURE 10 in Kalanchoe ×trageri, at last a name for K. blossfeldiana × K. pumila (Crassulaceae subfam. Kalanchooideae), a horticulturally successful nothospecies
FIGURE 10. John Noyes (John) Trager (1957–) after whom Kalanchoe ×trageri is named. Photograph: Daphne Trager.
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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
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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.