Publications by authors named "Zelmar Rodriguez"

Article Synopsis
  • * A training session for dairy farm workers was conducted to enhance their understanding of proper milking procedures, focusing on mastitis risk factors and the significance of each step in the milking process.
  • * Results showed a significant increase in knowledge and improvement in milking practices post-training, such as better disinfectant use and reduced inadequate preparation times, which positively influenced udder health and milk quality.
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Article Synopsis
  • On March 24, 2024, the USDA confirmed the first case of highly pathogenic avian influenza H5N1 in dairy cattle, which later spread to humans and affected 192 herds in 13 states.
  • The emergence of this virus presents a significant threat to the dairy industry, highlighting the need for integrated approaches to human, animal, and environmental health.
  • Strategies such as enhancing biosecurity, improving surveillance, and advancing research are crucial for managing the outbreak and protecting public health and dairy production.
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Treatment of subclinical mastitis (SCM) during lactation is rarely recommended due to concerns related to both antimicrobial usage and the costs associated with milk discard. Nisin is a naturally produced antimicrobial peptide with a gram-positive spectrum that, when given to dairy cows, does not require milk discard. We evaluated the economic impact of the treatment of SCM during early lactation using a nisin-based intramammary treatment under different scenarios that included various treatment costs, milk prices, and cure rates.

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Hyperketonemia (HYK) in early lactation can have a different impact on health and productivity depending on the timing of HYK onset. While specific metabolites measured during the dry period may serve as biomarkers of HYK, the correlations between metabolites represent a challenge for the use of metabolic profiles dataset, and little has been explored on HYK. This exploratory cohort study aimed a) to characterize the correlations among metabolites measured during the late dry period in dairy cows, and b) to identify biomarkers in the late dry period associated with the onset of HYK at the first (wk1) and second (wk2) week of lactation.

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Automated monitoring devices have become increasingly utilized in the dairy industry, especially for monitoring or predicting disease status. While multiple automated monitoring devices have been developed for the prediction of clinical mastitis (CM), limitations in performance or applicability remain. The aims of this study were to (1) detect variations in reticuloruminal temperature (RRT) relative to an experimental intramammary challenge with Streptococcus uberis and (2) evaluate alerts generated automatically based on variation in RRT to predict initial signs of CM in the challenged cows based on severity of clinical signs and the concentration of bacteria (cfu/mL) in the infected quarter separately.

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Monitoring the body condition score (BCS) of dairy cows is a management strategy that can assist dairy producers in decision-making. The BCS and its variations reflect the level of body fat reserves and fat mobilization throughout the different stages of lactation. Cows that mobilize excessive amounts of fat reserves in response to the increased energy requirements of the transition period are more likely to have higher beta-hydroxybutyrate (BHB) concentration in blood, leading to a higher incidence of hyperketonemia postpartum.

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