Floodplain forest as an ideal environment for the reproduction of wild boar?

2021 ◽  
Vol 67 (5) ◽  
Author(s):  
Jakub Drimaj ◽  
Jiří Kamler ◽  
Miloslav Homolka ◽  
Ondřej Mikulka ◽  
Radim Plhal ◽  
...  
Keyword(s):  
Wild Boar ◽  
Floodplain Forest

Structure Traits of Longissimus lumborum Muscle in Wild Boar/domestic Pig Hybrids

2006 ◽  
Vol 54 (3) ◽  
pp. 133-137 ◽  
Author(s):  
Gabriela Elminowska-Wenda
Keyword(s):  
Wild Boar ◽  
Domestic Pig ◽  
Longissimus Lumborum

Cross-species hybridizations in situ for identification of Robertsonian translocation in wild boar

2017 ◽  
Vol 56 (1) ◽  
pp. 15-21
Author(s):  
MAREK BABICZ ◽  
BARBARA DANIELAK-CZECH ◽  
ANNA KOZUBSKA-SOBOCIŃSKA
Keyword(s):  
Wild Boar ◽  
Robertsonian Translocation

SEDIMENT-ECOLOGICAL CONNECTIVITY: EXPLORING THE LINKS BETWEEN TRIBUTARY EROSION AND FLOODPLAIN FOREST ESTABLISHMENT IN A LARGE RIVER BASIN

2020 ◽  
Author(s):  
John Kemper ◽  
◽  
Richard D. Thaxton ◽  
Sara L. Rathburn ◽  
Jonathan M. Friedman ◽  
...  
Keyword(s):  
River Basin ◽  
Large River ◽  
Floodplain Forest ◽  
Ecological Connectivity ◽  
Forest Establishment

Effect of the Rooting Activity of Wild Boar Sus scrofa on Plant Communities in the Middle Taiga of Western Siberia

2020 ◽  
Vol 11 (4) ◽  
pp. 363-371
Author(s):  
N. L. Pankova ◽  
N. I. Markov ◽  
A. L. Vasina
Keyword(s):  
Wild Boar ◽  
Plant Communities ◽  
Sus Scrofa ◽  
Western Siberia ◽  
Middle Taiga

The population modelling of fallow deer and wild boar in a Mediterranean ecosystem

1996 ◽  
Vol 88 (1-2) ◽  
pp. 7-14 ◽  
Author(s):  
S. Focardi ◽  
S. Toso ◽  
E. Pecchioli
Keyword(s):  
Wild Boar ◽  
Fallow Deer ◽  
Mediterranean Ecosystem ◽  
Population Modelling

scholarly journals Whole Genome Sequencing Refines Knowledge on the Population Structure of Mycobacterium bovis from a Multi-Host Tuberculosis System

2021 ◽  
Vol 9 (8) ◽  
pp. 1585
Author(s):  
Ana C. Reis ◽  
Liliana C. M. Salvador ◽  
Suelee Robbe-Austerman ◽  
Rogério Tenreiro ◽  
Ana Botelho ◽  
...  
Keyword(s):  
Population Structure ◽  
Whole Genome Sequencing ◽  
Wild Boar ◽  
Genome Sequencing ◽  
Mycobacterium Bovis ◽  
Red Deer ◽  
Variable Number Tandem Repeat ◽  
Variant Calling ◽  
Whole Genome ◽  
Network Analyses

Classical molecular analyses of Mycobacterium bovis based on spoligotyping and Variable Number Tandem Repeat (MIRU-VNTR) brought the first insights into the epidemiology of animal tuberculosis (TB) in Portugal, showing high genotypic diversity of circulating strains that mostly cluster within the European 2 clonal complex. Previous surveillance provided valuable information on the prevalence and spatial occurrence of TB and highlighted prevalent genotypes in areas where livestock and wild ungulates are sympatric. However, links at the wildlife–livestock interfaces were established mainly via classical genotype associations. Here, we apply whole genome sequencing (WGS) to cattle, red deer and wild boar isolates to reconstruct the M. bovis population structure in a multi-host, multi-region disease system and to explore links at a fine genomic scale between M. bovis from wildlife hosts and cattle. Whole genome sequences of 44 representative M. bovis isolates, obtained between 2003 and 2015 from three TB hotspots, were compared through single nucleotide polymorphism (SNP) variant calling analyses. Consistent with previous results combining classical genotyping with Bayesian population admixture modelling, SNP-based phylogenies support the branching of this M. bovis population into five genetic clades, three with apparent geographic specificities, as well as the establishment of an SNP catalogue specific to each clade, which may be explored in the future as phylogenetic markers. The core genome alignment of SNPs was integrated within a spatiotemporal metadata framework to further structure this M. bovis population by host species and TB hotspots, providing a baseline for network analyses in different epidemiological and disease control contexts. WGS of M. bovis isolates from Portugal is reported for the first time in this pilot study, refining the spatiotemporal context of TB at the wildlife–livestock interface and providing further support to the key role of red deer and wild boar on disease maintenance. The SNP diversity observed within this dataset supports the natural circulation of M. bovis for a long time period, as well as multiple introduction events of the pathogen in this Iberian multi-host system.

scholarly journals Zero-inflated-censored Weibull and gamma regression models to estimate wild boar population dispersal distance

2021 ◽  
Author(s):  
Eduardo de Freitas Costa ◽  
Silvana Schneider ◽  
Giulia Bagatini Carlotto ◽  
Tainá Cabalheiro ◽  
Mauro Ribeiro de Oliveira Júnior
Keyword(s):  
Wild Boar ◽  
Regression Models ◽  
Likelihood Function ◽  
Complex Structure ◽  
Dispersal Distance ◽  
Wild Boar Population ◽  
Gamma Distributions ◽  
Excess Of Zeros ◽  
Censored Observations ◽  
Positive Effect

AbstractThe dynamics of the wild boar population has become a pressing issue not only for ecological purposes, but also for agricultural and livestock production. The data related to the wild boar dispersal distance can have a complex structure, including excess of zeros and right-censored observations, thus being challenging for modeling. In this sense, we propose two different zero-inflated-right-censored regression models, assuming Weibull and gamma distributions. First, we present the construction of the likelihood function, and then, we apply both models to simulated datasets, demonstrating that both regression models behave well. The simulation results point to the consistency and asymptotic unbiasedness of the developed methods. Afterwards, we adjusted both models to a simulated dataset of wild boar dispersal, including excess of zeros, right-censored observations, and two covariates: age and sex. We showed that the models were useful to extract inferences about the wild boar dispersal, correctly describing the data mimicking a situation where males disperse more than females, and age has a positive effect on the dispersal of the wild boars. These results are useful to overcome some limitations regarding inferences in zero-inflated-right-censored datasets, especially concerning the wild boar’s population. Users will be provided with an R function to run the proposed models.

No evidence for African swine fever virus DNA in haematophagous arthropods collected at wild boar baiting sites in Estonia

2021 ◽  
Author(s):  
Reet Herm ◽  
Heli Kirik ◽  
Annika Vilem ◽  
Laura Zani ◽  
Jan Hendrik Forth ◽  
...  
Keyword(s):  
Wild Boar ◽  
African Swine Fever Virus ◽  
African Swine Fever ◽  
Fever Virus
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