The mean blood glucose (mg/dl) concentrations in Gir cows supplemented with bypass fat and mineral mixture (Group I) increased significantly (p<0.05) from 7 days prepartum (68.17±2.30) to peak at parturition (78.17±3.96), then returned to prepartum levels by 7 days postpartum and fluctuated non-significantly until 60 days postpartum (Table 1). Similar trends were observed in cows receiving only mineral mixture (Group II) and the control group (Group III), with peak values at parturition (74.17±2.27 and 70.17±1.74, respectively), followed by a rapid decline by 7 days postpartum and non-significant fluctuations thereafter. The overall mean pooled blood glucose values across all groups ranged from 57.39±3.16 to 74.17±1.72 mg/dl. No significant differences were found between Group I, II and III. However, day-wise postpartum observations showed non-significantly higher blood glucose levels in Group I compared to Groups II and III.
The mean plasma total protein concentrations in Gir cows under the control group (III) were significantly higher (p<0.05) prepartum and at calving, declined by 7 days postpartum and recovered by 60 days postpartum (Table 1). Treated cows showed no significant trends. Plasma total protein levels were significantly higher (p<0.05) in Group I (11.19±0.35, 11.68±0.55 g/dl) compared to Group II (9.67±0.37, 9.84±0.33 g/dl) and Group III (9.67±0.37, 9.84±0.33 g/dl) on 7 and 14 days postpartum. Pooled mean values across groups ranged from 10.17±0.27 to 10.82±0.24 g/dl.
The mean plasma total cholesterol concentrations in cows supplemented with methionine- and lysine-fortified mineral mixture (Group II) declined prepartum, reaching the lowest value (p<0.01) at calving, followed by a non-significant increase until 14 days postpartum and a significant rise (p<0.01) thereafter, peaking at 60 days postpartum (Table 2). Groups I and III showed similar trends, with non-significant differences. Overall, cholesterol levels decreased prepartum, rose gradually postpartum and peaked at 60 days, with pooled values ranging from 111.13±7.83 to 188.28±8.76 mg/dl. Although bypass fat and mineral mixture supplementation (Group I) did not significantly affect cholesterol levels, Group I cows exhibited apparently higher levels compared to Groups II and III, suggesting a potential influence of bypass fat on cholesterol metabolism.
The mean plasma NEFA concentrations (nmol/ml) in Gir cows supplemented with bypass fat and mineral mixture fortified with methionine and lysine (Group I) increased significantly (p<0.05) from 7 days prepartum (60.68±13.18) to peak at calving (108.67±12.18), remaining high until 7 days postpartum (107.52±7.18), before declining by 14 days postpartum (91.67±11.71) and fluctuating non-significantly until 60 days postpartum (Table 3). Similarly, Group II cows showed a significant rise (p<0.05) in NEFA levels, peaking at calving (135.34±24.38) and remaining elevated until 7 days postpartum (128.60±25.10), followed by a non-significant decline. Control cows (Group III) exhibited no significant variations, though the highest NEFA levels (174.96±21.37) were observed at calving, with a slight postpartum decline. Overall, NEFA concentrations in Groups I and II were significantly lower (p<0.05) than in Group III during both pre-and postpartum periods.
The mean plasma BHBA concentrations (µg/ml) in Gir cows supplemented with bypass fat and mineral mixture fortified with methionine and lysine (Group I) increased significantly (p<0.01) from 7 days prepartum (86.52±8.25) to peak at calving (122.19±7.57), remaining elevated until 7 days postpartum (111.18±7.57), before declining by 14 days postpartum (99.54±6.24) and fluctuating non-significantly until 60 days postpartum animals (Table 3). Group II cows showed a similar trend, with BHBA levels rising significantly (p<0.05) to peak at calving (124.23±5.51) and declining non-significantly thereafter. Control cows (Group III) also peaked at calving (133.61±7.49, p<0.01) but took longer to decline, reaching prepartum levels only by 28 days postpartum (85.71±7.15).
While nutrient supplementation did not significantly affect BHBA levels compared to controls, treated cows (Groups I and II) recovered from elevated BHBA levels by 14 days postpartum, whereas animals in control group took until 28 days. This suggests that bypass fat and mineral mixture supplementation may help cows recover more quickly from negative energy balance, highlighting their potential role in improving metabolic adaptation during the peripartum period.
The mean blood glucose trends in Gir cows across all groups align with findings by
Kalasariya et al., (2017). Pooled blood glucose values were comparable to those reported by
Anam et al. (2021). Blood glucose levels reflect carbohydrate status and while hypoglycaemic herds may not show clinical symptoms, anoestrus remains a concern, particularly in winter
(King, 1971).
In this study, blood glucose differences between supplemented (Groups I and II) and control (Group III) cows were non-significant, consistent with
Chavda et al., (2022a) and
Karimi et al., (2023). However,
Vala et al., (2020) reported significant improvements with nutritional supplementation. Postpartum, Group I cows showed non-significantly higher glucose levels, suggesting bypass fat may help mitigate negative energy balance.
Butler et al., (2000) linked low glucose levels to delayed ovulation due to inhibited LH pulses, explaining the 10-day delay in postpartum oestrus in control cows, likely due to poorer energy balance adaptation.
The mean plasma total protein concentrations in control Gir cows (Group III) were significantly higher (p<0.05) prepartum and at calving, declined by 7 days postpartum and recovered by 60 days postpartum. Similar trends were reported by
Setia et al., (1992), while
Sallam et al., (2021) noted an increase from day 10 to 30 postpartum, followed by a decline. Protein deficiency, linked to delayed postpartum oestrus
(Roberts, 1971), may explain the delayed oestrus in control cows.
Treated cows showed no significant trends in plasma total protein, consistent with
Vala et al., (2020). However, Group I cows had significantly higher (p<0.05) protein levels on 7 and 14 days postpartum compared to Groups II and III, aligning with findings by
Bicalho et al., (2014). Pooled mean protein values in this study were comparable to
Nasiri et al. (2022), though lower values were reported by
Vala et al., (2020). These results suggest that bypass fat and mineral supplementation may support better protein metabolism postpartum.
The mean plasma total cholesterol levels in this study decreased prepartum, reaching the lowest at calving and gradually increased postpartum, peaking at 60 days. This aligns with findings by
Chavda et al. (2022). Lower cholesterol around parturition may result from estrogen and thyroid hormones inhibiting cholesterogenesis
(Prakash and Tandon, 1979), while postpartum increases are linked to upregulated cholesterol biosynthesis for lactation
(Kessler et al., 2014). Cholesterol, a steroid hormone precursor, is closely tied to reproductive physiology, supporting follicular activity and steroidogenesis
(Robinson, 1977). Pooled cholesterol values were comparable to
Dhami et al. (2017), but differed from
Kalasariya et al., (2017). Group I cows (bypass fat and mineral mixture) showed higher cholesterol levels than Groups II and III, which is in agreement with
Tyagi et al., (2010) and
Ranjan et al., (2012), who reported significant effects of bypass fat on cholesterol. Dietary fat increases cholesterol and progesterone, enhancing luteal function
(Staples and Thatcher, 2005), suggesting the role of bypass fat in improving reproductive outcomes. The discussion suggests that rising plasma total cholesterol levels may support follicular development and steroidogenesis in cows, particularly in supplemented groups. Cholesterol likely serves as a precursor for reproductive steroid hormones and its increased levels during lactation may be a physiological adaptation to meet lactation demands.
The lower plasma mean NEFA levels before parturition and postpartum period in both the treatment groups (I and II) might be due to the positive effect of supplementation of bypass fat and mineral mixture. However,
Staples et al. (1998) opined that dietary fat decreases lipogenesis by adipose tissues, resulting in enhanced lipolysis and higher NEFA readings. In this study, Gir cows in Groups I and II showed significantly (p<0.05) lower mean plasma NEFA concentrations compared to Group III (control) during prepartum and postpartum periods. These findings are in agreement with
Vala et al., (2020), who observed reduced NEFA levels in supplemented Jaffarabadi buffaloes. However, contrasting results were reported by
Sallam et al., (2021), who found no significant effect of nutrient supplementation on plasma NEFA levels in dairy cows.
Sutaria et al., (2025) reported no significant difference of NEFA levels at different time point postpartum in Mehsana Buffaloes. The discrepancy may stem from variations in supplementation type, dosage, or animal breed.
In the present study, the animals under control group required longer period to recover from the state of negative energy balance, indicative of positive response of treated cows with bypass fat and/or mineral mixture supplementation. The present findings of the trend observed for mean plasma BHBA levels are in accordance with the reports of
Theodore et al., (2017); Chavda et al. (2022), who observed no significance effect of the nutrient supplementation on mean plasma BHBA levels of the treatment group as compared to the control in HF crossbred and Gir cows, respectively. The trend of the pooled mean plasma NEFA and BHBA in Gir cows observed in the present study corroborated well with the observations of
Garverick et al. (2013) and
Sutaria et al., (2025).
The transition period involves reduced dry matter intake, leading to lower glucose levels and increased fat mobilization as NEFA, resulting in by-products like BHBA. While slight rises in NEFA and BHBA are normal during early lactation, excessive levels indicate poor adaptation to negative energy balance (NEB), signalling ketosis risk
(Vazquez-Anon et al., 1994;
Herdt, 2000).