Use of innovative technology recorded and blood biochemical biomarkers for the assessment of reproductive success in dairy cows

Purpose: Reproductive efficiency is important to profitability and sustainability in dairy production, affecting milk yield, farm economics and health. Recently,innovative technologies have improved estrus detection, fertility management and monitoring. This study aims to assess reproductive success in dairy cows using these technologies and blood biochemical biomarkers. Material-Method: Dairy cows participating in the study (n=100) were divided into five groups of twenty based on their reproductive status. Throughout the study blood samples for metabolic profiles were taken and analysed. Various indicators were recorded from computerized herd management program ‘‘Lely” (Netherlands).“DelPro” (Sweden) was used to record disease histories. Results: We found that milk yield in the second group of fresh cows (31–60 days postpartum) was 13% higher than the first group of fresh cows (1–30 days postpartum) and pregnant cows (99 days) (P<0.01). The average somatic cell count in the first fresh cow group was 80% higher than in dry cows (P<0.05). The longest rumination time was in the first group, while the shortest was recorded in pregnant cows with a difference of 40% (P<0.001). The highest aminotransferase activity was found in non-pregnant cows, while the lowest was for dry cows with a difference of91% (P<0.001). The highest β-hydroxybutyric acid concentrations were found in both groups of fresh cows, while the lowest were in pregnant cows and dry cows, with a difference of 376%, between the second and dry cow groups. Conclusion: Key findings, like the link between rumination time and milk yield,show the potential to boost productivity and support sustainable dairy farming.