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Reibling, T.

Publications and source records attributed to Reibling, T..

2 recordsLinked to original sources

Porcine cytomegalovirus detection by nanopore-based metagenomic sequencing in a Hungarian pig farm

The rapid diagnosis of infectious diseases has an essential impact on their control, treatment and recovery. Oxford Nanopore Technologies (ONT) sequencing opens up a new dimension in applying clinical metagenomics. In a large-scale pig farm in Hungary, four fattening and one piglet nasal swab pooled samples were sequenced using ONT for metagenomic analysis. Long reads covering 53.69% of the porcine cytomegalovirus genome were obtained in the piglet sample. The 650 bp long read matching the glycoprotein B gene of the virus is sequentially most similar to Japanese, Chinese and Spanish isolates.

genomics↗

Associations of weather fronts with pig reproduction and mortality

Farmers and practising veterinarians have long suspected the impact of weather fronts on production and animal health. A common impression is that sows will farrow earlier in connection with a cold front. There might be a correlation between daily mortality and the occurrence of a strong atmospheric front. Population-based quantitative studies on weather fronts effects on animal health and production are very sparse in the scientific literature. In this study, the associations between the weather fronts and daily farrowing incidence, the pregnancy length and the daily death incidence were analysed. The results show that cold front increased the odds of more than daily six farrowings on the day of the front (with at least 3{degrees}C cooling OR: 4.79, 95%CI: 1.08-21.21, p=0.039). On the day of the front, with at least 3{degrees}C temperature change both the cold and the warm front increased the odds of the farrowing on the day [≥] 118th day of the gestation (OR: 3.10, 95%CI: 1.04-9.30, p=0.43 and OR: 4.39, 95%CI: 1.73-11.15, p=0.002, respectively). On the day after the day of front, the odds of farrowing on the [≤] 113th day of gestation are increased, if the temperature decrease was at least 2{degrees}C the OR: 2.30 (95%CI: 1.04-5.06, p=0.039). On the day after the warm front with at least 1{degrees}C temperature increase the odds of more than daily three deaths is increased (OR: 5.44, 95%CI: 1.23-24.05, p=0.025).

biophysics↗