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133 results for “wild boar”
Fig. 3. Haplotype network for E in Prevalence, molecular characterisation and phylogenetic analyses of hydatid cysts and cysticercus tenuicollis isolates and first report of E. canadensis (G6/G7) in wild boars in Bingol province, Türkiye
Fig. 3. Haplotype network for E. canadensis (G6/G7) using cox1 gene (616 bp) sequences of different countries. The E. canadensis (G6/G7) isolate obtained in this investigation (Hap_01) and the sequences identified as G7 in the Genbank database were utilized. Circle size relative to haplotype data set frequency. Each hatch mark is representative of one nucleotide change. Haplotypes formed by the isolates obtained in this study are marked with an asterisk.
Fig. 1 in Prevalence, molecular characterisation and phylogenetic analyses of hydatid cysts and cysticercus tenuicollis isolates and first report of E. canadensis (G6/G7) in wild boars in Bingol province, Türkiye
Fig. 1. Hydatid cyst image obtained from the lung (A) and liver (B) and C. tenuicollis (C,D) image obtained from its mesentery of wild boar.
Fig. 2. Haplotype network constructed using cox1 in Prevalence, molecular characterisation and phylogenetic analyses of hydatid cysts and cysticercus tenuicollis isolates and first report of E. canadensis (G6/G7) in wild boars in Bingol province, Türkiye
Fig. 2. Haplotype network constructed using cox1 (744 bp) gene sequences of T. hydatigena. Seven haplotypes formed by the T. hydatigena isolates obtained in this study: (Hap 1-Hap 7). Circle size relative to haplotype data set frequency. Each hatch mark is representative of one nucleotide change. Haplotypes formed by the isolates obtained in this study are marked with an asterisk.
Sound extracts from wild boars during their resting phase
<p>This folder contains tracks collected with animal-borne audiologgers deployed on wild boars.</p> <p>The tracks that were extracted from 40 minutes before to 5 minutes after a relocation was initiated are labelled as ‘relocation’. The tracks labelled as ‘control’ were extracted at the same time of day as the ‘relocation’ tracks, but on different dates, when relocations did not occur. We also make available an additional track, corresponding to a dog barking, with the wild boar not reacting to it. It was identified upon opportunistic listening of the dataset.</p>
Negative temporal autocorrelation in mast seeding dynamics positively influences both the long and short-term dynamics of a wild boar population
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Probabilistic genetic identification of wild boar hybridization to support control of invasive wild pigs (Sus scrofa)
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An inbreeding perspective on the effectiveness of wildlife population defragmentation measures: A case study on wild boar (Sus scrofa) of Veluwe, The Netherlands
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Seated wild Boar
Fontana del Porcellino in Firenze, 1634 CE, plaster copy (137 x 154 x 93 cm). The fountain figure was sculpted and cast by Baroque master Pietro Tacca (1577–1640) shortly before 1634. The Royal Cast Collection (Denmark, Copenhagen). Made with Memento Beta (now ReMake) from AutoDesk. For more update, please follow @GeoffreyMarchal on Twitter. Source: Objaverse 1.0 / Sketchfab
Introgressive hybridisation between domestic pigs (Sus scrofa domesticus) and endemic Corsican wild boars (S. s. meridionalis): effects of human-mediated interventions
<p class="MsoNormal"><span>Owing to the intensified domestication process with artificial trait selection, introgressive hybridisation between domestic and wild species poses a management problem. Traditional free-range livestock husbandry, as practiced in Corsica and Sardinia, is known to facilitate hybridisation between wild boars and domestic pigs (<em>Sus scrofa</em>). Here, we assessed the genetic distinctness and genome-wide domestic pig ancestry levels of the Corsican wild boar subspecies <em>S. s. meridionalis,</em> with reference to its Sardinian conspecifics, employing a genome-wide single nucleotide polymorphism (SNP) assay and mitochondrial control region (mtCR) haplotypes. We also assessed the reliance of morphological criteria and the melanocortin-1 receptor (<em>MC1R</em>) coat colour gene to identify individuals with domestic introgression. While Corsican wild boars showed closest affinity to Sardinian and Italian wild boars compared to other European populations based on principal component analysis, the observation of previously undescribed mtCR haplotypes and high levels of nuclear divergence (Weir's </span><span> </span><span> 0.14) highlighted the genetic distinctness of Corsican <em>S. s. meridionalis</em>. </span><span>Across three complementary analyses of mixed ancestry (i.e., STRUCTURE, PCADMIX, and ELAI), proportions of domestic pig ancestry were estimated at 9.5% in Corsican wild boars, which was significantly higher than in wild boars in Sardinia, where free-range pig keeping was banned in 2012. Comparison of morphologically pure- and hybrid-looking Corsican wild boars suggested a weak correlation between morphological criteria and genome-wide domestic pig ancestry. The study highlighted the usefulness of molecular markers to assess the direct impacts of management practices on gene flow between domestic and wild species.</span></p>
WIld boar demographic parameters extracted from the literature
<p>This is the data extraction and description of parameters of WB population dynamics, including general drivers, population demography, mortality, reproduction, and spatial behaviour. The definition of the most relevant parameters that describe the wild boar (WB) population dynamics is essential to guide African swine fever (ASF) control policies. These parameters should be framed considering different contexts, such as geographic, ecological and management contexts, and gaps of data useful for the parameter definition should be identified. This information would allow better harmonized monitoring of WB populations and higher impact of ASF management actions, as well as better parametrizing population dynamics and epidemiological models, which is key to develop more efficient cost-benefit strategies.</p> <p>ENETwild is a project funded by EFSA, www.enetwild.com.</p> <p> </p>
Genomic consequences of a century of inbreeding and isolation in the Danish wild boar population
Demographic events such as series of bottlenecks impact the genetic variation and adaptive potential of populations. European megafauna, such as wild boars (Sus scrofa), have experienced severe climatic and size fluctuations that have shaped their genetic variation. Habitat fragmentation as well as human-mediated translocations have further contributed to the complex demographic history of European wild boar. Danish wild boars represent an extreme case of a small and isolated population founded by four wild boars from Germany. Here, we explore the genetic composition of the Danish wild boar population in Klelund. We genotyped all 21 Danish wild boars that were recently transferred from the source population in Lille Vildmose into the Klelund Plantation to establish a novel wild boar population. We compared the Danish wild boars to high‐density single nucleotide polymorphism genotypes from a comprehensive reference set of 1263 wild and domesticated pigs, including 11 individuals from Ulm, one of two presumed founder locations in Germany. Our findings support the European wild background of the Danish population and no traces of gene flow with wild or domesticated pigs were found. The narrow genetic origin of the Danish wild boars is illustrated by extremely long and frequent runs of homozygous stretches in their genomes, indicative of recent inbreeding. This study provides the first insights into one of the most inbred wild boar populations globally established a century ago from a narrow base of only four founders. --
The importance of fine-scale predictors of wild boar habitat use in an isolated population
<p>Predicting the likelihood of wildlife presence at potential wildlife-livestock interfaces is challenging. These interfaces are usually relatively small geographical areas where landscapes show large variation over small distances. Models of wildlife distribution based on coarse data over wide geographical ranges may not be representative of these interfaces. High-resolution data can help identify fine scale predictors of wildlife habitat use at a local scale and provide more accurate predictions of species habitat use. These data may be used to inform knowledge of interface risks, such as disease transmission between wildlife and livestock, or human-wildlife conflict. This study uses fine-scale habitat use data from wild boar (Sus scrofa) based on activity signs and direct field observations in and around the Forest of Dean in Gloucestershire, England. Spatial logistic regression models fitted using a variant of penalized quasi‐likelihood were used to identify habitat-based and anthropogenic predictors of wild boar signs. Our models showed that within the Forest of Dean, wild boar signs were more likely to be seen in spring, in forest-type habitats, closer to the centre of the forest and near litter bins. In the area surrounding the Forest of Dean, wild boar signs were more likely to be seen in forest-type habitats and near recreational parks and less likely to be seen near livestock. This approach shows that wild boar habitat use can be predicted using fine-scale data over comparatively small areas and in human-dominated landscapes, whilst taking account of the spatial correlation from other nearby fine-scale data-points. The methods we use could be applied to map habitat use of other wildlife species in similar landscapes, or of movement-restricted, isolated or fragmented wildlife populations.</p>
Does mast seeding shape mating time in wild boar? A comparative study
In seasonal environments, the timing of reproduction often matches with the peak of food resources. One well-known effect of global warming is an earlier phenology of resources, leading to a possible mismatch between timing of reproduction for consumers and food peak. However, global warming may also change the dynamics of food resources, such as the intensity and frequency of pulsed mast seeding. How quantitative changes in mast seeding influence the timing of reproduction of seed consumers remains unexplored. Here, we assess how yearly variation in mast seeding influences mating time in wild boar (Sus scrofa), a widespread seed consumer species. We took advantage of the intensive monitoring of both female reproduction (1,636 females) and acorn production over 6 consecutive years across 15 populations of wild boar in the wild. We found that mating time occurs earlier when acorn production increases in most but not all populations. In three out of fifteen populations, heavy females mated earlier than light ones. Our findings demonstrate that mast seeding does shape mating time in wild boar females, but differently across populations. This high plasticity of mating times in wild boar indicates that females locally adapt to environmental conditions.
Three-dimensional surface scans of tooth surfaces of Japanese wild boars.
<p>Three-dimensional surface scans of tooth surfaces of Japanese wild boars are saved in .sur format and surface analyses files in .mnt format, which are analyzed in:</p> <p>Miyamoto, K., Kubo, M. O. and Yokohata, Y. "Dental microwear texture of wild boars from Japan reflects inter- and intra-populational feeding preferences" submitted to Frontiers in Ecology and Evolution.</p> <p>Please see information in the paper for details.</p>
Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh
Рис. 2. ЧисΛенность кабанов в разΛичные гоΔы на 10 км маршрута
Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh
Рис. 1. Карта района иссΛеΔований: 1 — Тонашен; 2 — Варнкатаг; 3 — Магавуз
Fig. 2 in The ecology and distribution of wild boars (Sus scrofa Linnaeus, 1758) in the foothills of the Martakert Region of the Republic of Artsakh
Fig. 2. The number of wild boars in different years in 10 km route
Fig. 2 in Trichinella species circulating in wild boar (Sus scrofa) populations in Poland
Fig. 2. Geographical distribution of Trichinella species occurs in wild boar populations in Poland.
Dataset records and references extracted from GBIF used for wild boar distribution modelling
<p>These are the datasets containing wild boar records downloaded from Global Biodiversity Information Facility (GBIF) used to fit presence-only and presence-background models. It indicates the data key, publishing organization key, licenses and references.</p>
Fig. 2. Invaginated protoscoleces isolated from a in Cystic echinococcosis in wild boars (Sus scrofa) from southern Italy: Epidemiological survey and molecular characterization
Fig. 2. Invaginated protoscoleces isolated from a fertile hydatid cyst.
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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.