Journal of Scientific Research and Reports

The present study aimed to evaluate the haematological parameters like blood erythrocytes, leucocytes, haemoglobin, PCV, DLC and erythrocyte indices (MCH, MCV, MCHC) during different days of the estrous cycle in Black Bengal goats. The Black Bengal goat rearing has got some added advantages when compared to other goat breeds, as they gain sexual maturity at an earlier age, female goat becomes pregnant twice-a-year and gives birth to one to three kids (twinning and tripling are common), can adapt to any environment easily and had high disease resistance. The haematological parameter evaluation offers information on animals and herd health status. The current study was conducted during April and May 2020 with 12 cyclic Black Bengal does in the goat farm of NDRI-ERS Kalyani. Blood samples were collected on day 0,3,7,11,14,17,21,24 and on the next estrus in order to validate the changing patterns of different blood components (Hb, R.B.C, W.B.C, P.C.V, D.L.C and Erythrocyte indices) as per stage-wise during entire estrus cycle in Bengal does. Estrus was detected based on observation of behavioral estrus signs and standstill by aproned buck introduction and further conformed with USG Examination of female reproductive gonad. As per the current analysis, Hb concentrations were recorded relatively (P<0.05) higher (9.75±0.12) during estrus period than other stages of estrus cycle. Slight variation in the PCV concentrations was noted during different days of cycle. Erythrocyte count was found to be highest (15.9±0.23) during luteal phase of estrous cycle and leucocytes were found to be maximum (9.18±0.31) during late luteal and proestrus period. The minimal disparity exists between the neutrophil (45±1.0) and lymphocyte (48±0.7) count during the period of receptivity, on the contrary substantial difference of neutrophil and lymphocyte count exists during other days of estrus cycle. This result obtained in present study can be used in the realistic evaluation and assessment of herd health status and disease diagnosis.