The Pabna is one of the potential local cattle breeds in Bangladesh regarding milk production and its nutritive quality. The aim of the study was to know the effect of lactation length, parity and management on production performance and nutritional/physiochemical composition of the milk of local Pabna cows. Besides the regular milking, 15 days’ interval test day milking was recorded from 12 local Pabna cows with different lactation period (up to fifth month of calving) from BLRI Regional Station, Baghabari during January-September, 2018. In addition, 12 and 16 milk samples (200 ml/sample) were collected from the cows raised at BLRI Regional Station and the community of Dairy Development Research Project at Bera, Pabna district during June, 2018, respectively. Data were analyzed in an ANOVA of Completely Randomized Design and independent sample t-test, respectively, using SAS version 9.1.3 (SAS Institute Inc., Cary, NC, USA) including Tukey’s HSD post hoc test to separate means. The average daily milk yield was significantly (p<0.05) higher during the first month (4.62 L) of lactation and the lowest value recorded at 5th month (3.50 L). Among the test days milking better yield observed at 15 days (4.79 L) of experimental lactation period (p<0.05). The effect of lactation stages and parity number had no significant variations (p>0.05) on nutrient compositions of local Pabna cows’ milk in both on-station and community. However, the overall characteristics of milk between on-station and community had significant differences on the composition of total solids (p<0.001), SNF (p<0.001), fat (p<0.01), and protein (p<0.05) where the highest values found as 14.81, 8.65, 6.17 and 3.53% at on-station, respectively. The first month of lactation observed as best milk producing period among the five months and the management system had positive association with milk composition of local Pabna cows. Asian J. Med. Biol. Res. March 2019, 5(1): 48-51

The objective of this study was to clarify the inside of socio-economic condition and cattle production scenario in few areas of Pabna district. Data of socio-economic condition of farmers, cattle population, genotype and overall management were collected from three villages at Bera upazila of Pabna district during August to September in 2017. The collected data were tabulated and analyzed following one-way ANOVA including descriptive statistics. It was observed that the age of farmers were average 42 years with 19 years of average farming experiences. Agriculture was found as primary occupation (47.37%) followed by house wife (15.79%) and animal husbandry (10.53%). Among the total livestock population, 52% (n=286) was cattle with different genotypes but the frequency of local Pabna cattle was highest (70%). About 79% cattle were reared intensively at home because the areas were surrounded by water. The average peak day milk yield (4.56 liters) of local Pabna cattle was significantly (p <0.001) lower than Holstein crossbred (7.43 liters). The cattle feeding system was mostly intensive (77%) followed by semi-extensive (23%) with 60%, 49% and 98% restricted feeding for straw, green grass and concentrate feeds in the studied households. The capacity building training of farmers including different farm oriented facilities would enhance a dairy development programme in those areas from local Pabna cattle which could contribute their socio-economic condition as well.

The world is heavily suffering from the COVID-19 pandemic for more than a year, with over 191 million confirmed cases and more than 4.1 million deaths to date. Previous studies have explored several risk factors for coronavirus disease 2019 (COVID-19), but there is still a lack of association with ABO blood type. This study aimed to find out the relationship between the ABO blood group and COVID-19 outcomes in Bangladesh. Subjects and Methods: This retrospective cross-sectional study was conducted in the intensive care unit (ICU) of a tertiary-level COVID-dedicated hospital in Dhaka city, Bangladesh, between April 2020 and November 2020. Records from 771 critically ill patients were extracted who were confirmed for COVID-19 by reverse transcriptasepolymerase chain reaction (RT-PCR) assay, and blood grouping records were available in the health records. Results: The blood groups were 37.35%, 17.38%, 26.46%, and 18.81% for A, B, AB, and O type, respectively. Clinical symptoms were significantly more common in patients with blood type A (p < 0.05). Patients with blood type A had higher WBC counts and peak serum ferritin levels and both were statistically significant (p < 0.001). Patients with blood type A had a greater need for supplemental oxygen, and they were more likely to die in comparison to the patients with other blood types (p < 0.05). In multivariable analysis, our primary outcome death was significantly associated with blood type A (AOR: 3.49, 95% CI: 1.57-7.73) while adjusting for age, male gender, and non-communicable diseases. Conclusion:Based on this study results, it can be concluded that the COVID-19 patients with blood type A have a higher chance of death and other complications. The authors recommend blood grouping before treating the COVID-19 patients, and healthcare workers should prioritize treating the patients based on that result.

The present work was conducted to evaluate the variability in linear body measurements; to investigate the relationship between body linear measurements and live weight and to predict live weight of F 1 Brahman crossbred cattle using body measurements. A total of 123 male and 87 female F 1 Brahman crossbred cattle of 6-36 months age and weighing from 63 to 535 kg were used for the study over a period from 2010 to 2014. The study revealed that that most of the morphological measurements were linearly increased with the advances of age. The body weight had highest correlation coefficient with the heart girth around the chest (r=0.96, p<0.001) and lowest with canon bone length (r=0.49, p<0.001) compared with other body measurements. The correlations of body weight with tail length, ear length, canon bone length and canon bone width were at medium level (r=0.51-0.79). Grouping of data according to age indicated that heart girth in >24 months group had highest correlation coefficient (r=0.96) with body weight compared to ≤12 months (r=0.92) and >12-24 months (r=0.95) group. The stepwise regression models revealed that heart girth singly accounted highest variation (93%) in body weight for all animals. Thus, the general equation for prediction of live weight of Brahman crossbred cattle was Y=4. where Y=live weight (Kg), HG=heart girth around the chest (cm). The regression equations for the live weight were Y=2. ) and Y=4.87HG-471 (23.0) for ≤12, >12-24 and >24 months age groups. The best model for estimating body weight was obtained using HG and body length (BL) for all animals Y=2.83HG+1.80BL-392 (6.69). These results suggested that prediction equations based on HG or in combination of HG and BL can be used efficiently in Brahman crossbred cattle to predict live weight.

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