RESUMO
This study assessed the effects of a herbal mixture (HM) to protect poultry against chicken infectious anemia (CIA) and to modulate the adverse effects of this virus on performance, mortality, blood profile, white blood cells (WBCs) count, liver enzymes, liver histopathology, and intestinal morphology. Therefore, 240 one-day-old male broiler chicks (Ross 308) were divided into four experimental groups, with six replicates and ten chicks per group. The experimental groups consisted of a control group and groups with 2.5%, 5%, and 7.5% HM, all based on corn-soybean meal. All chicks were inoculated with the CIA virus (CIAV) on day 7. The results showed that supplementation of 2.5% of HM to broiler diet increased feed intake (FI) (P < 0.05) and also increased body weight (BW) and weight gain (WG) slightly (P > 0.05). Adding 7.5% HM caused a reversible decrease in FI, BW, and WG and increased FCR. Compared with the control group, mortality rates declined with an additional dose of HM in CIAV-infected chickens. HM supplementation in the diet of CIAV-infected chickens increased hematocrit (HCT), hemoglobin (Hb), and mean corpuscular volume (MCV) and decreased mean corpuscular hemoglobin concentration (MCHC) compared to the control (P < 0.05). Lymphocyte percentage and lymphocyte/heterophile ratio increased in HM-supplemented groups, especially at 2.5% (P < 0.05), and heterophile and granulocyte percentages were reduced (P < 0.05). Liver enzyme alkaline phosphatase (ALP) and liver steatosis declined in the 2.5% HM-treated group compared to the control (P < 0.05). It was concluded that adding 2.5% of the HM to the CIAV-infected broiler's diet did not negatively affect chicken performance. In addition to its hypolipidemic effects, it could prevent HCT and Hb from decreasing in chicks infected with CIAV and positively affect leukocyte types and liver enzymes. Interestingly, an additional dose of HM in the diet of the CIAV-infected broilers reduced mortality. Therefore, adding 2.5% of HM could prevent the adverse effects of CIA on hematological traits in broiler chicken flocks without adverse effects on performance.
RESUMO
Cancer is among the major public health problems as well as a burden for Pakistan. About 148,000 new patients are diagnosed with cancer each year, and almost 100,000 patients die due to this fatal disease. Lung, breast, liver, cervical, blood/bone marrow, and oral cancers are the most common cancers in Pakistan. Perhaps smoking, physical inactivity, infections, exposure to toxins, and unhealthy diet are the main factors responsible for the spread of cancer. We preferred a novel four-component mixture model under Bayesian estimation to estimate the average number of incidences and death of both genders in different age groups. For this purpose, we considered 28 different kinds of cancers diagnosed in recent years. Data of registered patients all over Pakistan in the year 2012 were taken from GLOBOCAN. All the patients were divided into 4 age groups and also split based on genders to be applied to the proposed mixture model. Bayesian analysis is performed on the data using a four-component exponential mixture model. Estimators for mixture model parameters are derived under Bayesian procedures using three different priors and two loss functions. Simulation study and graphical representation for the estimates are also presented. It is noted from analysis of real data that the Bayes estimates under LINEX loss assuming Jeffreys' prior is more efficient for the no. of incidences in male and female. As far as no. of deaths are concerned again, LINEX loss assuming Jeffreys' prior gives better results for the male population, but for the female population, the best loss function is SELF assuming Jeffreys' prior.