Background: Microbial colonisation of piglets' intestines starts at birth, especially from contact with sow's faeces. Piglet microbiota could therefore be influenced by the sow's diet. The objective of this study was to evaluate whether the microbiological flora of liquid feed for sows can be associated with the development of neonatal diarrhoea. Methods: This study was carried out on 10 case farms with neonatal diarrhoea and 10 control farms without neonatal diarrhoea. On each farm, a microbiological analysis of gestating and lactating liquid feed was performed. A generalised linear model was used to study the impact of the liquid feed microbiological counts and pH on the probability of neonatal diarrhoea developing. Results: For thermotolerant coliforms, sulphite-reducing bacteria, heterotrophic bacteria and lactic-acid bacteria counts, there was no significant difference between case and control farms. The higher the count of total coliforms, enterococci and yeasts in sow non-fermented liquid feed, the greater the probability of observing neonatal diarrhoea. Moreover, taking into account total coliforms and yeasts counts together is highly predictive of neonatal diarrhoea risk. Conclusion:This study offers new perspectives of investigation and understanding of neonatal diarrhoea in breeding farms feeding sows with a nonfermented liquid feed.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
This retrospective study described the aetiologies of neonatal diarrhoea cases and their associations with histological findings. A total of 106 diarrhoeic neonatal piglets were selected. Cultures, MALDI typings, PCRs and evaluation of intestinal lesions were performed. A total of 51 cases (48.1%) were positive for only one pathogen and 54 (50.9%) were positive for more than one pathogen. Clostridium perfringens type A was the most frequently detected pathogen (61.3%), followed by Enterococcus hirae (43.4%), rotavirus type A (38.7%), rotavirus type C (11.3%) and enterotoxigenic Escherichia coli (3.8%). Only lesions in the small intestine were correlated with detected pathogens. The detection of rotavirus was associated with an increased probability of observing villous atrophy (p < 0.001), crypt hyperplasia (p = 0.01) and leucocyte necrosis in the lamina propria (p = 0.05). The detection of Clostridium perfringens type A was associated with an increased probability of observing bacilli in close proximity to the mucosa (p < 0.001) and a decreased probability of observing epithelial necrosis (p = 0.04). Detection of Enterococcus hirae was associated with an increased probability of observing enteroadherent cocci (p < 0.001). Multivariate regression logistic models revealed that epithelial necrosis was more likely to occur in Enterococcus hirae-positive piglets (p < 0.02) and neutrophilic infiltrate was more likely to occur in Clostridium perfringens type A- and Enterococcus hirae-positive piglets (p = 0.04 and p = 0.02, respectively).
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