| Literature DB >> 35765104 |
Mojahidul Kabir1, Md Mehedi Hasan1, Nobonita Sarker Tanni1, Mst Sonia Parvin1, Md Asaduzzaman2, Md Amimul Ehsan1, Md Taohidul Islam3.
Abstract
OBJECTIVE: Periparturient period is associated with multiple changes including serum concentration of macro minerals and drop in feed intake. Therefore, it is essential to know the actual concentrations of major macro minerals, glucose and ketone bodies in blood during the periparturient period. The objectives of the study were to study the dynamics of calcium, magnesium, phosphorus, and glucose in serum and ketone bodies in the urine of periparturient cows and to estimate the incidence of subclinical metabolic diseases.Entities:
Keywords: Dairy cows; Metabolic diseases; Metabolic profiling; Periparturient period
Mesh:
Substances:
Year: 2022 PMID: 35765104 PMCID: PMC9238095 DOI: 10.1186/s13104-022-06130-z
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Fig. 1Line graph showing non-significant variation in mean serum concentration of Ca, Mg & P in periparturient cows those a received IV injection of Cal-D-Mag (Renata Animal Health) and b were not received the same at the day of parturition. [Cal-D-Mag (Renata Animal Health) contains Ca, Mg, P & glucose]
Fig. 2Serum glucose concentration in periparturient cows
Incidence of subclinical form of hypocalcaemia, hypomagnesaemia, hypophosphatemia and hypoglycemia in periparturient crossbred cows according to age, parity, BCS and milk yield
| Variables | Subclinical Hypocalca-emia | Subclinical Hypomagn-esaemia | Subclinical Hypophos-phatemia | Subclinical Hypoglyc-emia | |
|---|---|---|---|---|---|
| Age (years) | 2 to 4 (n = 19) | 6 (31.58%)a | 7 (36.84%)a | 2 (10.53%)a | 12 (63.18%)a |
| > 4 to 6 (n = 7) | 2 (28.57%)a | 5 (71.43%)a | 2 (28.57%)a | 4 (57.14%)ab | |
| > 6 (n = 3) | 1 (33.33%)a | 2 (66.67%)a | 1 (33.33%)a | 0 (0.00%) | |
| Parity | 1 (n = 6) | 1 (16.67%)a | 3 (50.00%)a | 0 (0.00%)a | 3 (50.00%)ab |
| 2 (n = 14) | 6 (42.86%)a | 5 (35.71%)a | 3 (21.43%)a | 9 (64.29%)b | |
| 3 (n = 6) | 1 (16.67%)a | 4 (66.67%)a | 1 (16.67%)a | 4 (66.67%)ab | |
| ≥ 4 (n = 3) | 1 (33.33%)a | 2 (66.67%)a | 1 (33.33%)a | 0 (0.00%) | |
| BCS | < 3 (n = 2) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 1 (50.00%)a |
| 3 to < 4 (n = 19) | 6 (31.58%)a | 12 (63.16%)a | 3 (15.79%)a | 10 (52.63%)a | |
| ≥ 4 (n = 8) | 3 (37.50%)a | 2 (25.00%)a | 2 (25.00%)a | 5 (62.50%)a | |
| Milk yield (L) | 5 to 10 (n = 6) | 0 (0.00%) | 1 (16.67%)a | 1 (16.67%)a | 3 (50.00%)a |
| > 10 to 15 (n = 7) | 3 (42.86%)ab | 6 (85.71%)b | 1 (14.29%)a | 3 (42.86%)a | |
| > 15 to 20 (n = 10) | 3 (30.00%)ab | 7 (70.00%)b | 2 (20.00%)a | 6 (60.00%)a | |
| > 20 (n = 6) | 3 (50.00%)b | 0 (0.00%) | 1 (16.67%)a | 4 (66.67%)a | |
| Overall (n = 29) | 9 (31.03%) | 14 (48.28%) | 5 (17.24%) | 16 (55.17%) | |
Values bearing different superscripts within the column for each variable differ significantly (P ≤ 0.05)