The Guilty Gilt Guide was written with a clear objective – to maximize the whole-herd performance of pig populations by helping gilts to reach their full reproductive potential and produce healthy pigs that reach their full genetic potential during grow-finish.
The open reading frames (ORF)5 represents approximately 4% of the porcine repro- ductive and respiratory syndrome virus (PRRSV)-2 genome (whole-PRRSV) and is often determined by the Sanger technique, which rarely detects >1 PRRSV strain if present in the sample.
Porcine reproductive and respiratory syndrome virus (PRRSV) is an important swine pathogen affecting the global swine industry.
Mycoplasma hyopneumoniae (M. hyopneumoniae) infections continue to result in significant respiratory challenges in the swine industry worldwide. Vaccination for M. hyopneumoniae is commonly utilized, as reduction in bacterial loads and clinical severity in vaccinated pigs have been shown. However, the effect of M. hyopneumoniae vaccination on transmission across different pig populations has been minimally investigated.
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With progressing stabilisation of the herd lossesin the nursery further decreased. The following parameters were significantly improved also: Repeat service rate, Number of live born piglets, Preweanig mortality, Number of weaned piglets/litter.
Adjuvants enhance both the magnitude and duration of immune responses, therefore representing a central component of vaccines. The nature of the adjuvant can determine the particular type of immune response, which may be skewed toward cytotoxic T cell (CTL) responses, antibody responses, or particular classes of T helper (Th) responses and antibody isotypes. Traditionally, adjuvants have been added to intrinsically poor immunogenic vaccines, such as those using whole killed organisms or subunit vaccines.
Following infection with Porcine Reproductive and Respiratory Syndrome (PRRS) virus in a nucleus herd with 190 Sows, eradication of the virus was attempted. This was facilitated by the detailed recording system used for the herd.
Pork production systems routinely capture large amounts of real-time data. Decision tools can be developed to effectively utilize this data in strategic decision making. For example, Porcine Reproductive and Respiratory Syndrome (PRRS) creates economic losses in the period from weaning to market (WTM).1 Several tactics can be employed to mitigate these losses in WTM batches. However, understanding the mean cost of PRRS infection in a batch of pigs and the ability to predict which batches are most likely to suffer those losses are critical in designing mitigation strategies that optimize economic returns. This paper describes an economic decision model for PRRS mitigation strategies in WTM pigs that was constructed and applied within a large production system.