4 results match your criteria: "Universitat de Lleida - AGROTECNIO-CERCA Centre[Affiliation]"

Article Synopsis
  • The Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) significantly impacts pig reproduction, causing issues like smaller litters and abortions in sows, with responses varying due to genetic differences.
  • This study analyzed the reproductive performance of 183 sows to find 48 with extreme resilience to PRRSV, employing whole-genome sequencing to identify 16 genetic regions linked to their reproductive outcomes.
  • Key genes identified are involved in viral entry and the immune response, suggesting potential genetic factors that influence a sow's ability to withstand PRRSV, but further validation with larger groups is needed.
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Endemic and epidemic outbreaks of porcine reproductive and respiratory syndrome virus (PRRSV) are causing large economic losses in commercial pig production worldwide. Given the complexity of controlling this disease with vaccines or other biosecurity measures, the selection for pigs with a natural resilience to this infection has been proposed as an alternative approach. In this context, we previously reported a vaccine-based protocol to classify 6-week-old female piglets from one farm into resilient and susceptible phenotypes.

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Actinobacillus pleuropneumoniae (APP) causes significant economic losses to the swine industry. Antibiotic treatment can be challenging due to its clinical urgency and the turnover of antimicrobial susceptibility results from the diagnostic laboratory. The aim of this study was to evaluate the vertical transmission of APP within integrated systems as a criterion for optimising antimicrobial treatment in the field, using whole genome sequencing (WGS).

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Differences in producing performance and organoleptic meat characteristics among pig genotypes and/or producing types are widely known. These parameters are also subjected to the animal's development, feeding and management. Detailed knowledge of the effects of production phase (PP), pig producing type (PT), dietary protein availability and their interactions on nutrient digestibility, nitrogen balance and protein metabolism is essential information to improve precision feeding techniques.

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