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89 results for “feed control”
Bottom of DR1 tank, the sides of the module are fitted with glass panels which allow natural light from a window to enter the tank, and the observer to view the behaviour of the broodstock. This device ensures easy viewing and checking of the broodstock, facilitates management of feeding and allows effective monitoring of reproduction. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Bottom of DR1 tank, the sides of the module are fitted with glass panels which allow natural light from a window to enter the tank, and the observer to view the behaviour of the broodstock. This device ensures easy viewing and checking of the broodstock, facilitates management of feeding and allows effective monitoring of reproduction.
Can immune gene silencing via dsRNA feeding promote pathogenic viruses to control the globally invasive Argentine ant?
<p><span>Pest control methods that can target pest species with limited environmental impacts are a conservation and economic priority. Species-specific pest control using RNA interference is a challenging but promising avenue in developing the next generation of pest management. We investigate the feasibility of manipulating a biological invader's immune system using double-stranded RNA (dsRNA) in order to increase susceptibility to naturally occurring pathogens. We used the invasive Argentine ant as a model, targeting the immunity-associated genes <em>Spaetzle</em> and <em>Dicer-1</em> with dsRNA. We show that feeding of <em>Spaetzle</em> dsRNA can result in partial target gene silencing for up to 28 days in the laboratory and five days in the field. <em>Dicer-1</em> dsRNA only resulted in partial gene knockdown after two days in the laboratory. Double-stranded RNA treatments were associated with significant gene expression disruptions across immune pathways in the laboratory and to a lower extent in the field. We observed occasional changes in viral loads in dsRNA-treated groups. However, immune pathways disruption did not result in consistent increase in microbial infections, nor did they alter ant abundance in the field. Our study explores the feasibility of lowering a pest's immunity as a control tool. We demonstate that it is possible to alter immune gene expression of pest species and pathogen loads, though in our system the affected pathogens did not appear to influence pest abundance. We provide advice on future directions for dsRNA-mediated immune disruption in pest species, including potential avenues to improve dsRNA delivery as well as the importance of the biology of the pest system and its pathogens.</span></p>
Can immune gene silencing via dsRNA feeding promote pathogenic viruses to control the globally invasive Argentine ant?
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Control of feeding by a bottom-up brainstem-subthalamic pathway
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Testing nectar price effect on bumblebee feeding by automatized computer-controlled laboratory platform
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Effect of Early Skin to Skin Contact on Breast Feeding Behaviour in Term Newborns: A Randomized Controlled Trial
ClinicalTrials.gov study NCT00776789. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: To eat or not to eat: ontogeny of hypothalamic feeding controls and a role for leptin in modulating life history transition in amphibian tadpoles
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Details and raw isotope data for samples related to a semi-controlled feeding study involving rats fed to a red-tailed hawk (Buteo jamaicensis) and Eurasian eagle owl (Bubo bubo).
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FIGURE 48 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURE 48. Scatter plots of length of blade of elongate endophallic sclerite (A) and length of spined area of elongate endophallic sclerite (B) versus the length of the elongate endophallic sclerite for field collected material of Diorhabda elongata species group and laboratory produced F1 and F2 D. elongata/D. sublineata hybrids (see Figs. 45–47 for illustrations of endophallic sclerites for individual hybrids identified by alphanumeric codes in plots; see Table 3 for sample sizes and statistics for measurements).
FIGURES 24–28 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURES 24–28. Elongate (ventral) endophallic sclerite (dorsal views and a single dorso-lateral view [DLV]). 24—Diorhabda elongata, 25—D. carinata, 26—D. sublineata, 27—D. carinulata, 28—D. meridionalis. BL—blade, HA —hooked apex, CES—connecting endophallic sclerite (partial), EES—elongate endophallic sclerite, LA—lateral appendage, LB—length blade, LN—lateral notch. Scale bar 1.0 mm.
FIGURES 19–23 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURES 19–23. Elongate (ventral) endophallic sclerite (lateral view) with connecting (lateral) endophallic sclerite (dorsal view, when present). 19—Diorhabda elongata, 20—D. carinata, 21—D. sublineata, 22—D. carinulata, 23—D. meridionalis. CES—connecting endophallic sclerite, EES—elongate endophallic sclerite, LA—lateral appendage, LB—length of blade, LN—lateral notch, SL—length of spined area of blade. Scale bar 1.0 mm.
FIGURES 1–9 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURES 1–9. Dorsal habitus of males (dead - top row, living - bottom row) of the Diorhabda elongata species group (tamarisk beetles): 1–2—D. elongata (Mediterranean tamarisk beetle), 3–4—D. carinata (larger tamarisk beetle), 5–6—D. sublineata (subtropical tamarisk beetle), 7–8—D. carinulata (northern tamarisk beetle), 9—D. meridionalis (southern tamarisk beetle). SSV—subsutural elytral vitta, SMV—submarginal elytral vitta. Scale bar 5.0 mm.
FIGURES 34–38 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURES 34–38. Female genitalia: internal sternite VIII (IS VIII), vaginal palpi (VP), and spermatheca (SP). 34—Diorhabda elongata, 35—D. carinata, 36—D. sublineata, 37—D. carinulata, 38—D. meridionalis. AL—apical lobe of IS VIII, LP—length vaginal palpus, PA—pointed appendage of SP, ST—stalk of IS VIII, TL—tips of lobes of IS VIII, WAL—width apical lobe of IS VIII, WLS—width lobe of stalk of IS VIII, WP—width vaginal palpus, WST—width stalk of IS VIII. Scale bar 1.0 mm.
FIGURES 14–18 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURES 14–18. Male genitalia: median lobe (ML) of aedeagus with everted endophallus (END; uninflated) (lateral and dorsal views).14—Diorhabda elongata, 15—D. carinata, 16—D. sublineata, 17—D. carinulata, 18—D. meridionalis. BF—basal foramen (or basal orifice), CES—connecting endophallic sclerite, DO—dorsal ostium (or apical orifice); EES—elongate endophallic sclerite, GP—gonopore, LA—lateral appendage, LB—length of blade, PES—palmate endophallic sclerite, SL—length of spined area of blade, VM—ventral membrane. Scale bar 1.0 mm.
FIGURE 57 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURE 57. Linear and categorical models for continentality (A) and biomic (B) habitat suitability indices for the Diorhabda elongata species group. Model parameters calculated from descriptive statistics (Fig. 52), including interquartile range (IQR), minimum (MIN) value minus 20% of range (R), and maximum value (MAX) plus 20% of range (labeled in A for D. carinulata).
FIGURE 55 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURE 55. Three dimensional biomic principal coordinate analysis (PCoA) scatter plot for the Diorhabda elongata species group and Tamarix spp. invasive in North America for the first three eigenvectors (cumulative axis loading of 80.92%; Table 13) computed from a biomic Bray-Curtis dissimilarity matrix (Table 12). Biomes in which ranks of species are statistically significantly positively or negatively correlated with ranks of species in each PCoA axis are indicated in parentheses (see Table 13). Plotted with Mod3D module of NTSYSpc (Rohlf 2006).
FIGURES 53–54 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURES 53–54. Biomic dissimilarity dendrograms based on biomic Bray-Curtis dissimilarity matrices. 53—Diorhabda elongata species group (from Table 10), 54—both the D. elongata group and Tamarix species invasive in North America (from Table 12). Dendrograms produced with NTSYSpc Tree plot module (Rohlf 2006) from clusters formed with unweighted arithmetic average clustering (UPGMA) (NTSYSpc SAHN module). Line connecting D. elongata and T. gallica at left signifies that the positions of these taxa are interchangeable in an alternate dendrogram of equal rcoph value.
FIGURE 52 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURE 52. Schematic box plots for distances to the ocean (A) (Proc Boxplot [Boxstyle=Schematic]; SAS Institute 2005) and a bar chart of frequency percentages for distribution of each Diorhabda species across biomes (B) (Proc Freq; SAS Institute 2005) from native presence-only field collection data for the Diorhabda elongata species group at 5 minute grid resolution. Percentage of a species in a biome is number of collections for that species in the biome divided by the number of collections of that species across all biomes. See Figure 51 for explanation of box plots. Sample sizes of field localities (N) and a table summary statistics and plotted values are inset in each chart.
FIGURE 51 in Taxonomic revision and biogeography of the Tamarix-feeding Diorhabda elongata (Brullé, 1832) species group (Coleoptera: Chrysomelidae: Galerucinae: Galerucini) and analysis of their potential in biological control of Tamarisk
FIGURE 51. Schematic box plots for elevations (A) and latitudes (B) from native presence-only field collection data for the Diorhabda elongata species group at 5 minute grid resolution. Box plots for each species depict the mean, median, first quartile (Q1), third quartile (Q3), interquartile range (IQR, Q1–Q3), low whisker (LW; lowest point at or above 1.5*IQR lower than Q1), high whisker (HW, highest point at or below 1.5*IQR higher than Q3), mild outliers (MO, points between the low or high whisker and 3*IQR from Q1 and Q3, respectively), and extreme outliers (EO, points below or above 3*IQR from Q1 and Q3, respectively) (Proc Boxplot; SAS Institute 2005). Sample sizes of field localities (N) and a table summary statistics and plotted values are inset in each chart.
Chinook salmon digestion data within predatory largemouth bass and channel catfish through controlled feed trials
<p>Diet analysis is a vital tool for understanding trophic interactions and is frequently used to inform conservation and management. Molecular approaches can identify diet items that are impossible to distinguish using more traditional visual-based methods. Yet, our understanding of how different variables, such as predator species or prey ration size, influence molecular diet analysis is still incomplete. Here, we conducted a large feeding trial to assess the impact that ration size, predator species, and temperature had on digestion rates estimated with visual identification, qPCR, and metabarcoding. Our trial was conducted by feeding two rations of Chinook salmon (Oncorhynchus tshawytscha) to two piscivorous fish species (largemouth bass (Micropterus salmoides)) and channel catfish (Ictalurus punctatus)) held at two different temperatures (15.5°C and 18.5°C) and sacrificed at regular intervals up to 120 hours from the time of ingestion to quantify the prey contents remaining in the digestive tract. We found that ration size, temperature, and predator species all influenced digestion rate, with some indication that ration size had the largest influence. DNA based analyses were able to identify salmon smolt prey in predator gut samples for much longer than visual analysis (~12 hours for visual analysis versus ~72 hours for molecular analyses). Our study provides evidence that modeling the persistence of prey DNA in predator guts for molecular diet analyses may be feasible using a small set of controlling variables for many fish systems.</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)
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.