The study on metabolic profile and hematologic test in some dairy herds in warm and cold seasons in Sanandaj city, Iran

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Research/Original Article (بدون رتبه معتبر)
Abstract:
Metabolic profile tests are considered useful to predict the occurrence of production and metabolic diseases in dairy herds by monitoring certain components of the blood. The aim of this study was to investigate metabolic profile by means of determining the hematologic and biochemical parameters in some dairy herd in Sanandaj area. The blood samples were collected randomly from coccygeal vein in 4 dairy farms from 3 predefined groups of animal, i.e. peak lactation, mid lactation and low lactation (7 samples in each group) in two seasons of summer and winter. The following metabolites and enzymes were measured on blood samples: Glucose, calcium, inorganic phosphorus, aspartate aminotransferase, creatine phosphokinase and hematocrit. Results showed that the concentration of serum glucose and AST were in normal level, whereas results were showed elevated level of inorganic phosphorus and CPK, but decreased level of calcium. In addition the results showed significant differences between the glucose concentration, inorganic phosphorus, AST and hematocrit with season. (p≤0.05),while no significant difference was noticed between calcium concentration and CPK with season. (p>0.05). There were significant differences between milk yield and AST, hematocrit. (p≤0.05), but differences between the other metabolites and milk yield were not statistically significant (p>0.05). The results of this study indicated the presence of a number of metabolic diseases at least in subclinical forms, in this area (i.e. hypocalcaemia…) and concluded the influence of environmental factors on metabolic profiles. So the results confirmed to perform metabolic profile test continuously in this area, however, in further large scales.
Language:
Persian
Published:
Journal of Clinical Research of Large Animals, Volume:9 Issue: 24, 2022
Pages:
1 to 12
https://magiran.com/p2461532  
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