With the development of modern pig raising technology, the increasing density of animals in pig houses leads to the accumulation of microbial aerosols in pig houses. It is an important prerequisite to grasp the characteristics of bacteria in aerosols in different pig houses to solve the problems of air pollution and disease prevention and control in different pig houses. This work investigated the effects of growth stages on bacterial aerosol concentrations and bacterial communities in pig houses. Three traditional types of closed pig houses were studied: farrowing (FAR) houses, weaning (WEA) houses, and fattening (FAT) houses. The Andersen six-stage sampler and high-volume air sampler were used to assess the concentrations and size distribution of airborne bacteria, and 16S rRNA gene sequencing was used to identify the bacterial communities. We found that the airborne bacterial concentration, community richness, and diversity index increased with pig age. We found that , , , , and in the microbial aerosols of pig houses have the potential risk of causing disease. These differences lead us to believe that disinfection strategies for pig houses should involve a situational focus on environmental aerosol composition on a case-by-case basis.
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http://dx.doi.org/10.3390/ani12121540 | DOI Listing |
Front Vet Sci
December 2024
Division of Animal Sciences, National Swine Resource and Research Center, University of Missouri, Columbia, MO, United States.
A major concern of xenotransplantation is that donor organs may be a source of pathogens. One pathogen in particular, porcine cytomegalovirus (PCMV), a porcine roseolovirus (PRV), is thought to result in donor organ failure in an immunosuppressed state. Porcine cytomegalovirus is difficult to detect in organ donor swine because of its ability to establish latency.
View Article and Find Full Text PDFPol J Vet Sci
September 2024
APC Europe, SLU, Avda. Sant Julià 246-258, P.I. El Congost, 08403, Granollers, Spain.
The effect of feeding spray dried porcine plasma (SDPP) to male turkeys during the first 4 weeks of life was evaluated at 20 weeks of age. A total of 648 male Hybrid Converter day-old turkeys were divided into two groups of 9 replicate pens of 36 birds each, and fed a commercial-type program of 7 diet phases. In phase 1 birds were fed a corn-soybean meal Control diet for 4 weeks, or a diet with 2% SDPP of similar nutrient density.
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December 2024
Clinic for Ruminants and Pigs, Clinic for Reproduction and Large Animals, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia.
Introduction: Measurement of hair cortisol concentration (HCC) is a useful tool for assessing the activity of the hypothalamic-pituitary-adrenal axis and thus evaluating the long-term adrenocortical response in different animal species and breeds. Robust indigenous pig breeds are highly adapted to the local environment and are preferred for organic farming, compared to the commercial breeds. We investigated whether seasonality, breeding system (indoor or outdoor) and sex influence HCC of pigs reared on organic farms.
View Article and Find Full Text PDFVaccine
December 2024
Infectious Disease Immunology, Center for Vaccine Research, SSI, Copenhagen, Denmark. Electronic address:
Mucosal secretory IgA (SIgA) produced by subepithelial plasma cells in the lamina propria is the major antigen-specific defense mechanism against mucosal infections. We investigated if a retinoic acid (RA)-containing adjuvant in parenteral immunization, can induce vaccine-specific SIgA in the jejunal lumen in a dose-dependent manner in neonatal pigs immunized with a Chlamydia hybrid antigen. To accurately quantify SIgA responses in mucosal secretions, an antigen-specific ELISA method with secondary detection of porcine secretory component rather than IgA was developed.
View Article and Find Full Text PDFSci Rep
December 2024
School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar, 161006, China.
A prediction model of the pig house environment based on Bayesian optimization (BO), squeeze and excitation block (SE), convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed to improve the prediction accuracy and animal welfare and take control measures in advance. To ensure the optimal model configuration, the model uses a BO algorithm to fine-tune hyper-parameters, such as the number of GRUs, initial learning rate and L2 normal form regularization factor. The environmental data are fed into the SE-CNN block, which extracts the local features of the data through convolutional operations.
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