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36 results for “Odocoileus”
Odocoileus virginianus (Cervidae) - whole organism
Image of Odocoileus virginianus (Cervidae) - whole organism
Odocoileus virginianus (Cervidae) - whole organism
Image of Odocoileus virginianus (Cervidae) - whole organism
Fig. 2 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 2. Locations of nilgai lure transects (red bars) at the Santa Rosa Ranch near Riviera, TX. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 5 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 5. Nilgai cow visiting lure site (A) and (B) nilgai bull defecating at offal lure site at the East Foundation's Santa Rosa Ranch, near Riviera, TX.
Fig. 4 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas
Fig. 4. Phylogentic analysis of sca0 (rompA) sequences from putative Rickettsia sp. endosymbionts of Amblyomma maculatum and Ixodes scapularis ticks collected from white-tailed deer in southern Texas. This is a maximum-likelihood tree that is rooted at midpoint. Branch support was assessed with 10,000 replicates of UFBoot bootstrap replication, and bootstrap percentages are indicated at each branch point in the tree. Sequences from GenBank used in the comparative analysis were annotated as rickettsial endosymbionts. Accession numbers and tick species from which sequence was identified are included on the branch label.
Fig. 3 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas
Fig. 3. Phylogentic analysis of Theileria sp. fragments from Anocenter nitens ticks. Representative Type F, Type G, and 'divergent' Theileria sp. sequences were identified from individual A. nitens ticks collected from white-tailed deer and a single nilgai host (bold labels). A maximum-likelihood tree was constructed using Toxoplasma gondii as the outgroup, as it is from a different axpicomplexan class than Theileria. Branch support was assessed with 10,000 replicates of UFBoot bootstrap replication, and bootstrap percentages are indicated at each branch point in the tree. GenBank accession numbers and annotated identification for sequences used in the comparative analysis are indicated on the branch labels. Accession numbers in italics are those T. cervi sequences from white-tailed deer on the East Foundation's San Antonio Viejo Ranch in Starr and Jim Hogg Counties, Texas (Yu et al., 2020).
Fig. 2 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 2. Summary of Parelaphostrongylus spp. infection in white-tailed deer (Odocoileus virginianus) fecal samples collected in Western Manitoba. Partial CO1 and ITS-2 genetic sequence results found white-tailed deer fecal samples with Parelaphostrongylus andersoni and Parelaphostrongylus tenuis in game hunting area (GHA) 13, 18 and 27 and only P. tenuis infected fecal pellets in GHA 22. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 1. Average dorsal-spined larvae (DSL) prevalence in white-tailed deer (Odocoileus virginianus) fecal samples in each game hunting area (GHA) sampled in Manitoba in 2020 and 2021. For trips, early summer collection was in June, mid-summer was July–August and late summer was August–September. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Density-habitat relationships of white-tailed deer (Odocoileus virginianus) in Finland
<p>In heterogeneous landscapes, resource selection constitutes a crucial link between landscape and population-level processes such as density. We conducted a non-invasive genetic study of white-tailed deer in southern Finland in 2016 and 2017 using fecal DNA samples to understand factors influencing white-tailed deer density and space use in late summer prior to the hunting season. We estimated deer density as a function of landcover types using a spatial capture-recapture (SCR) model with individual identities established using microsatellite markers. The study revealed second-order habitat selection with highest deer densities in fields and mixed forest, and third-order habitat selection (detection probability) for transitional woodlands (clear-cuts) and closeness to fields. Including landscape heterogeneity improved model fit and increased inferred total density compared with models assuming a homogenous landscape. Our findings underline the importance of including habitat covariates when estimating density and exemplifies that resource selection can be studied using non-invasive methods.</p>
Metabolizable energy and biomass of plants consumed by caribou (Rangifer tarandus) in tundra communities of northern Alaska and deer (Odocoileus spp.) in forests and grasslands of Washington, United States of America
<p>A ubiquitous interaction operates at the base of food webs in many terrestrial ecosystems of the world, creating the foundation for bottom-up regulation of consumers. This interaction plays out as follows. Populations of herbivores deplete plant biomass by foraging. Increasing herbivore population size intensifies this depletion, which in turn, creates a negative feedback regulating herbivore population growth. Large herbivores and the plants they consume offer a useful system for studying this interaction because populations of large herbivores are often regulated by density dependence, defined as the reduction in the per-capita growth rate that occurs as populations grow. Diminished body mass of individuals has been repeatedly observed in high-density populations, implicating plant-mediated, diminished nutrition as the primary cause of density dependence. However, there is no general explanation for why these nutritional deficiencies occur. The data deposited here were used to demonstrate fit new model of the feedbacks from plant biomass to herbivores. The model shows how reduced nutrition of herbivores can result from increased dilution of metabolizable energy in the plant tissue they consume as populations grow even when a large fraction of the consumable plant biomass remains uneaten. This result provides a tidy, mechanistic explanation for bottom-up control of population dynamics of primary consumers in a "green world." </p>
Data from: The population history of endogenous retroviruses in mule deer (Odocoileus hemionus)
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Metabolizable energy and biomass of plants consumed by caribou (Rangifer tarandus) in tundra communities of northern Alaska and deer (Odocoileus spp.) in forests and grasslands of Washington, United States of America
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Density-habitat relationships of white-tailed deer (Odocoileus virginianus) in Finland
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Pellet group surveys of white-tailed deer (Odocoileus virginianus) in Black Rock Forest, Cornwall, NY 2014-2024.
Black Rock Forest in Cornwall, NY began using deer pellet group surveys in 2014 to assess deer abundance. Observers walked set transects and recorded the number of pellet groups in a 1.2m radius circular plot every 30.5m. Data include, date, transect location within Black Rock Forest, observer, number of pellet groups per plot, and observations.
Fig. 1 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 1. The location of the study site (Santa Rosa Ranch) near Riviera, TX.
Fig. 3 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 3. Lure bucket recessed into soil at each treatment location at the Santa Rosa Ranch.
Fig. 4 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication
Fig. 4. Distribution of animal visits to lure sites at the Santa Rosa Ranch, near Riviera, TX.
Data from: White-tailed deer (Odocoileus virginianus) exclusion shifts soil carbon dynamics in mature oak-dominated and hemlock-dominated forest stands
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Data from: Hybrid swarm between divergent lineages of mule deer (Odocoileus hemionus)
Studies of hybrid zones have revealed an array of evolutionary outcomes, yet the underlying structure is typically characterized as one of three types: a hybrid zone, a hybrid swarm or a hybrid taxon. Our primary objective was to determine which of these three structures best characterizes a zone of hybridization between two divergent lineages of mule deer (Odocoileus hemionus), mule deer and black-tailed deer. These lineages are morphologically, ecologically and genetically distinct, yet hybridize readily along a zone of secondary contact between the east and west slopes of the Cascade Mountains (Washington and Oregon, USA). Using microsatellite and mitochondrial DNA, we found clear evidence for extensive hybridization and introgression between lineages, with varying degrees of admixture across the zone of contact. The pattern of hybridization in this region closely resembles a hybrid swarm; based on data from 10 microsatellite loci, we detected hybrids that extend well beyond the F1 generation, did not detect linkage disequilibrium at the centre of the zone and found that genotypes were associated randomly within the zone of contact. Introgression was characterized as bidirectional and symmetric, which is surprising given that the zone of contact occurs along a sharp ecotone and that lineages are characterized by large differences in body size (a key component of mating success). Regardless of the underlying mechanisms promoting hybrid swarm maintenance, it is clear that the persistence of a hybrid swarm presents unique challenges for management in this region.
Data from: Absence of founder effect and evidence for adaptive divergence in a recently introduced insular population of white-tailed deer (Odocoileus virginianus).
<p>Islands are generally colonized by few individuals which could lead to a founder effect causing loss of genetic diversity and rapid divergence by strong genetic drift. Insular conditions can also induce new selective pressures on populations. Here, we investigated the extent of genetic differentiation within a white-tailed deer (<i>Odocoileus virginianus</i>) population introduced on an island and its differentiation with its source mainland population. In response to their novel environmental conditions, introduced deer changed phenotypically from mainland individuals, therefore we investigated the genetic bases of the morphological differentiation. The study was conducted on Anticosti Island (Québec, Canada) where 220 individuals were introduced 120 years ago, resulting in a population size over 160,000 individuals. We used genotyping-by-sequencing (GBS) to generate 8,518 filtered high-quality SNPs and compared patterns of genetic diversity and differentiation between the continental and Anticosti Island populations. Clustering analyses indicated a single panmictic island population and no sign of isolation by distance. Our results revealed a weak, albeit highly significant, genetic differentiation between the Anticosti Island population and its source population (mean <i>F</i><sub>ST</sub> = 0.005), which allowed a population assignment success of 93%. Also, the high genetic diversity maintained in the introduced population supports the absence of a strong founder effect due to the large number of founders followed by rapid population growth. We further used a polygenic approach to assess the genetic bases of the divergent phenotypical traits between insular and continental populations. We found loci related to muscular function and lipid metabolism, which suggested that these could be involved in local adaptation on Anticosti Island. We discuss these results in a harvest management context.</p>
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Allen Brain Atlas
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