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Postpartum inactive ovaries (IO) in dairy cows reduce the economic returns of the dairy industry. It is related to energy metabolism disorder, hormone levels and cytokines.The aim of this study was to evaluate the correlation between insulin resistance (IR), adiponectin (ADPN), and leptin (LEP) at 14 days postpartum to assess the predictive potential for IO risk in dairy cows. Cows at 14 days postpartum were randomly selected and allocated into an insulin resistance group (IR, with IR index > 2.5, n=30) and a non-insulin resistance (non-IR, with IR index < 2.5, n=30). Serum Samples were collected at 14 and 55 days postpartum. Six cows of estrus and six cows of IO were randomly selected for slaughter at 55 days postpartum. Then, adipose and ovary samples were allocated for further experiments. A significant association between IR and IO, with 53.33% prevalence in the IR group compared to 16.67% in the non-IR group. Cows with IR had higher levels of β-hydroxybutyrate, non-esterified fatty acid, and lower levels of glucose, total cholesterol, triglyceride, ADPN, and LEP. Reproductive performance was adversely affected, with IR cows showing longer durations for first estrus and reduced milk yield. ADPN and LEP levels were significantly lower in IR cows, suggesting their role in modulating insulin sensitivity and reproductive functions. The combined analysis of ADPN, LEP, and IR index showed high sensitivity (91.3%) and specificity (87.2%) in predicting IO, highlighting their potential as reliable biomarkers. These observations indicate that IR and serum LEP and ADPN at 14 days postpartum can predict IO in dairy cows.
This study aimed to evaluate the impact of body condition score (BCS) on the milk yield, reproductive performance, and health status of lactating dairy cows. Data were collected from 1,960 cows across four dairy farms at 21 days prepartum, on the day of calving, and at 21, 50, 150, 200, and 250 days postpartum. The dataset included BCS, lactation performance, reproductive performance, disease incidence, and economic benefits for each cow. The cows were divided into seven groups based on BCS: ≤ 2.5, 2.75, 3.0, 3.25, 3.5, 3.75, and ≥ 4, with 40 cows per group at each time point (ten cows were selected from each of the four farms based on BCS differences at each time point for the experiment). The results demonstrated significant differences in BCS, milk yield, reproductive performance, and disease incidence among cows from different dairy farms. From 21 days prepartum to the day of calving, cows with BCS of 3.25 and 3.5 exhibited superior milk yield, reproductive performance, and economic benefits, as well as lower disease incidence. From 21 to 250 days postpartum, cows with BCS values of 3.0 and 3.25 continued to show improvements in milk yield, reproductive performance, and economic benefits, along with a reduction in disease incidence. These findings suggest that the ideal BCS for cows at 21 days prepartum and on the day of calving is 3.5, while BCS of 3.25 is optimal for cows at 21 days postpartum, and BCS of 3.0 is recommended for cows from 50 to 250 days postpartum.
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