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22,710 results for “Plants for planting”
Fig. 3 in Anesthetic activity of Brazilian native plants in silver catfish (Rhamdia quelen)
Fig. 3. Blood glucose levels after anesthesia of silver catfish with essential oils: A = essential oil of Hesperozygis ringens; B = essential oil of Ocotea acutifolia; W = water control; EC = ethanol control. Data are presented as mean±SEM (N = 6). Different letters indicate significant differences among groups (P<0.05).
Fig. 2 in Anesthetic activity of Brazilian native plants in silver catfish (Rhamdia quelen)
Fig. 2. Anesthetic effect of essential oils obtained from Lippia sidoides in silver catfish juveniles: a = Stage 2; b = Stage 3a; c = Stage 3b; d = Stage 4, according to Schoettger & Julin (1967). Maximum observation time for induction was 30 min. Data are presented as mean±SEM (N = 6). Different letters indicate significant differences among concentrations within each sample and * describes significant differences among samples (P<0.05).
Fig. 3 in Allium Paradoxum (M.Bieb.) G. Don (Amaryllidaceae) - A New Invasive Plant Species For The Flora Of Baltic States
Fig. 3. Allium paradoxum (M. Bieb.) G. Don. in Rumbula, Rīga, Latvia with flowers and bulbils. (Photo: A. Bojāre).
Fig.1 in Population Dynamics And Characterization Of Clostridium Macerans On Host Plant Of Flax
Fig.1. The AUDPC of Clostridium macerans as pathogen on the genotypes of flax during ontogenesis. abcd - AUDPC followed by the same letters in each column are not statistically significant by LSD0.05 (1.69).
Fig.2 in Population Dynamics And Characterization Of Clostridium Macerans On Host Plant Of Flax
Fig.2. Correlation coefficient between disease severity index of Clostridium macerans and sum of precipitation (mm). * − correlation significant at p≤0.05, ** − correlation significant at p≤0.01
Fig. 2 in The Flora Of Vascular Plants In The Nature Reserve "Pašuliene Forest"
Fig. 2. Territory of the nature reserve "Pašuliene Forest" and vicinity in two-verst map published in 1833, issued in Russia (left), and in tophographical map of 1925, issued in Latvia (right).
Fig. 4 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity
Fig. 4. Time-course of Peformance Index (A) and chlorophyll concentration (B) in leaves of T. maritima plants grown in different substrates.
Fig. 7 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity
Fig. 7. Correlation between summary Na + K concentration and extract EC in leaves (A) and roots (B) of T. maritima plants.
Fig. 1 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity
Fig. 1. Effect of treatment type on soil electrical conductivity (A) and pH (B) after 8 weeks of cultivation.
Fig. 5 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity
Fig. 5. Time-course of Na+ (A), K+ (B) and Ca2+ concentration in leaves of T. maritima plants grown in different substrates.
Fig. 6 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity
Fig. 6. Effect of treatment type on Na+ (A) and K+ (B) concentration in roots of T. maritima plants after 8 weeks of cultivation.
Fig. 1 in New records for distribution of Phytoliriomyza melampyga (Loew, 1869) (Diptera: Agromyzidae) and its host plants in Bulgaria
Fig. 1. Fully developed mine of Phytoliriomyza melampyga on a leaf of Impatiens glandulifera; A – dorsal, B – ventral side.
Fig. 3 in Trichilia (Meliaceae) plants: an important source of biomolecules with insecticidal properties
Fig. 3. Survival curves of Copitarsia decolora larvae fed on an artificial diet supplemented with extracts of Trichilia hirta bark at 100, 500, 1,000, and 1,500 ppm: (a) hexane, (b) acetone, (c) methanol, and (d) aqueous.
Fig. 4 in Trichilia (Meliaceae) plants: an important source of biomolecules with insecticidal properties
Fig. 4. Survival curve of Copitarsia decolora larvae fed on an artificial diet supplemented with hexane extract of Trichilia havanensis bark at 100, 500, 1,000, and 1,500 ppm.
Data from: Measuring leaf and root functional traits uncovers multidimensionality of plant responses to arbuscular mycorrhizal fungi
<p>Premise of the study While many studies have measured the aboveground responses of plants to mycorrhizal fungi at a single time point, little is known about how plants respond belowground or across time to mycorrhizal symbiosis. By measuring belowground responses as well as growth over time in many plant species, we create a more complete picture of how mycorrhizal fungi benefit their hosts. Methods We grew 26 prairie plant species with and without mycorrhizal fungi and measured fourteen functional traits measuring above and belowground tissue quality and quantity responses and changes in resource allocation. We used function-value trait (FVT) modeling to characterize changes in species growth rate when colonized. Key results While aboveground biomass responses were positive, the response of traits belowground were much more variable. Changes in aboveground biomass accounted for 60.8% of the variation in mycorrhizal responses, supporting the use of aboveground biomass response as the primary response trait. Responses belowground were not associated with aboveground responses and accounted for 18.3% of the variation. Growth responses over time were highly variable across species. Interestingly, none of the measured responses were phylogenetically conserved. Conclusions Mycorrhizal fungi increase plant growth in most scenarios, but the effects of these fungi belowground and across time are more complicated. This study highlights how differences in plant allocation priorities might affect how they utilize the benefits from mycorrhizal fungi. Identifying and characterizing these differences is a key step to understanding the effects of mycorrhizal mutualisms on whole plant physiology. </p>
Agricultural landscape simplification affects wild plant fitness indirectly through herbivore-mediated changes in floral display
<p>As natural landscapes are modified and converted into simplified agricultural landscapes, the community composition and interactions of organisms persisting in these modified landscapes are altered. While many studies examine the consequences of these changing interactions for crops, few have evaluated the effects on wild plants. Here, we examine how pollinator and herbivore interactions affect fitness for wild resident and phytometer plants at sites along a landscape gradient ranging from natural to highly simplified. We tested the direct and indirect effects of landscape composition on plant traits and fitness mediated by insect interactions. For phytometer plants exposed to herbivores, we found that greater landscape complexity corresponded with elevated herbivore damage, which reduced total flower production but increased individual flower size. Though larger flowers increased pollination, the reduction in flowers ultimately reduced plant fitness. Herbivory was also higher in complex landscapes for resident plants, but overall damage was low and therefore did not have a cascading effect on floral display and fitness. This work highlights that landscape composition directly affects patterns of herbivory with cascading effects on pollination and wild plant fitness. Further, the absence of fitness consequences for resident plants suggests that they may be adapted to their local insect community. </p>
Supplementary data from: Current and past climate co-shape community-level plant species richness in the Western Siberian Arctic
<p>The Arctic ecosystems and their species are exposed to amplified climate warming and, in some regions, to rapidly developing economic activities. We used macroecological modeling to estimate the community-level species richness across the Western Siberian tundra, with climate variables and anthropogenic influence identified as main explanatory factors. Our results reveal complex spatial patterns of community-level species richness in the Western Siberian Arctic. We show that climatic factors such as temperature (including paleotemperature) and precipitation are the main drivers of plant species richness in this area, and the role of relief is clearly secondary.</p> <p>Here we present a supplementing dataset to the analysis of our paper "Current and past climate co-shape community-level plant species richness in the Western Siberian Arctic"<strong> </strong>(<a href="https://doi.org/10.1002/ece3.11140">https://doi.org/10.1002/ece3.11140</a>). Our research is based on the Western Siberian part of the Russian Arctic Vegetation Archive (AVA-RUS, <a href="http://avarus.space">http://avarus.space</a>), with 1483 Braun-Blanquet plots observed from 2005-2018.</p> <p>The dataset contains geolocated species richness data along with sampled raster data on environmental and anthropogenic predictors used for modeling. The scripts are used for paleoclimatic data sampling; testing univariate predictive performance and limited collinearity for all predictors; fitting four different modes: random forest, gradient boosting machine, generalized linear model, and generalized additive model; their validation and projection. Detailed information regarding the data structure and the applied methods could be found in the paper.</p>
FIGURE 23. Palissya batrumi 1. Specimen showing external morphology, LX721 in Middle-Late Jurassic plant assemblages of the Catlins coast, New Zealand
FIGURE 23. Palissya batrumi 1. Specimen showing external morphology, LX721, Little Beach (Note adjacent Pityophyllum); 2. Specimen with apical part split longitudinally, revealing the axis, LX1096, Curio Bay.; 3. Specimen weathered to reveal the adaxial surface with paired ovule/scale units, LX2238, Otara-20. All scale bars equal 10 mm.
FIGURE 6. Sphenopteris travisii. 1. LX2067 in Middle-Late Jurassic plant assemblages of the Catlins coast, New Zealand
FIGURE 6. Sphenopteris travisii. 1. LX2067, Slope-03; 2. LX1180, Blue Cod Bay; 3. LX665 Blue Cod Bay. All scale bars equal 10 mm.
FIGURE 22. Araucarites cutchensis 1 in Middle-Late Jurassic plant assemblages of the Catlins coast, New Zealand
FIGURE 22. Araucarites cutchensis 1. Ovulate scale (LX2364); 2. Counterpart of previous (LX2364); 3. Two cone scales (LX2367). All Little-02, scale bars equal 10 mm.
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)
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.