
pmid: 32531497
Since its first identification in 2016, porcine circovirus 3 (PCV3) has been detected in healthy and/or diseased swine in many countries worldwide. In a previous study by our group, PCV3 was detected in sera of sows which had at least one stillborn piglet in the last parturition. As such, it became important to investigate if the presence of PCV3 in sows' sera could be associated to the occurrence of stillbirths. With that aim, the frequency of PCV3 infections and viral DNA loads in sows' sera was investigated through a real-time quantitative PCR in 89 serum samples of just farrowed sows with or without stillbirths. PCV3 genomes were identified in most samples, with genome loads ranging between less than 10 to 200,000 copies per mL of serum. No significant differences were observed either in the frequency of infection or PCV3 viral loads in sows with or without stillbirths. Thus, no association could be established between PCV3 infection of sows at farrowing and stillbirths' occurrence.
Circovirus, Swine Diseases, Pregnancy, Swine, Animals, Female, Circoviridae Infections, Stillbirth, Real-Time Polymerase Chain Reaction
Circovirus, Swine Diseases, Pregnancy, Swine, Animals, Female, Circoviridae Infections, Stillbirth, Real-Time Polymerase Chain Reaction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
