Outbreak of Viscerotropic Velogenic form of Newcastle dis-ease in vaccinated six weeks old pullets

An outbreak of very virulent form of Newcastle disease in 6 week old pullets is reported. The flock was vac-cinated against Newcastle disease with Newcastle disease vaccine intra ocular at the hatchery and Newcastle disease vaccine Lasota at 4weeks of age at the farm. The signs noticed by the farm Manager were yellowish and greenish watery faeces, weakness and decrease in feed consumption. Response to treatment with Bioxin® (oxy tetracycline) was poor. The sick birds never recovered. The gross lesions observed were: Necrosis of the gastrointestinal tract (Payers patches), caecal tonsils and bursa of fabricius. The disease lasted for 11 days and the mortality rate was 99.7%. The high mortality rate suggested that the vaccine had failed to immunize the birds against Newcastle disease and the birds were highly susceptible and had been infected with a very pathogenic stain of Newcastle disease virus

Detection of avian influenza antibodies and antigens in poultry and some wild birds in Kogi state, Nigeria

The global spread of HPAI (H5N1) between 2005 and 2006 was blamed on movement of migratory wild birds and trade in live poultry across continents from infected regions. A survey was carried out to detect the presence of avian influenza (AI) antibodies in wild birds and AI viruses in poultry and wild birds from Kogi state, Nigeria. Haemagglutination inhibition (HI) test and enzyme link immunosorbent assay (ELISA) were used to detect AI antibodies in some species of apparently healthy wild birds during the survey. Using HI test, the wild birds were negative for AI (H5) antibodies but ELISA detected AI (NP) antibodies in Black Stork (Ciconia nigra) with an overall seroprevalence of 4.5% and mean titre of 24.50±2.400 EU. Cloacal swabs from the same species of wild birds that were tested for antibodies and 710 oropharyngeal swabs from poultry were tested for AI viruses using RT-PCR with primers targeting the AI matrix proteins but were negative for AI viruses. The detection of AI (NP) antibodies in wild birds but failure to detect the viruses showed that the exposure might not be recent. We recommend that poultry should be prevented from contact with wild water birds and a broad based surveillance for AI viruses in poultry and wild birds should be carried out in Kogi state, Nigeria.Keywords: Avian influenza, Black stork, ELISA, HI, RT-PC

JINAbase—A Database for Chemical Abundances of Metal-poor Stars

Reconstructing the chemical evolution of the Milky Way is crucial for understanding the formation of stars, planets, and galaxies throughout cosmic time. Different studies associated with element production in the early universe and how elements are incorporated into gas and stars are necessary to piece together how the elements evolved. These include establishing chemical abundance trends, as set by metal-poor stars, comparing nucleosynthesis yield predictions with stellar abundance data, and theoretical modeling of chemical evolution. To aid these studies, we have collected chemical abundance measurements and other information, such as stellar parameters, coordinates, magnitudes, and radial velocities, for extremely metal-poor stars from the literature. The database, JINAbase, contains 1659 unique stars, 60% of which have [Fe/H] ≤ −2.5. This information is stored in an SQL database, together with a user-friendly queryable web application (http://jinabase.pythonanywhere.com). Objects with unique chemical element signatures (e.g., r-process stars, s-process and CEMP stars) are labeled or can be classified as such. We find that the various neutron-capture element signatures occur in up to 19% of metalpoor stars with [Fe/H] ≤ −2.0, and 32% when also considering carbon enhancement. The web application enables fast selection of customized comparison samples from the literature for the aforementioned studies and many more. Using multiple entries for three of the most well-studied metal-poor stars, we evaluate systematic uncertainties of chemical abundance measurements between the different studies. We provide a brief guide to the selection of chemical elements for model comparisons for non-spectroscopists who wish to learn about metal-poor stars and the details of chemical abundance measurements. Key words: astronomical databases: miscellaneous – catalogs – nuclear reactions, nucleosynthesis, abundances – stars: abundances – stars: Population IINational Science Foundation (U.S.) (PHY 14- 30152

Humoral immune response of chickens following vaccination with different Newcastle disease vaccines

In spite of numerous vaccines and different vaccination schedules used in the control of Newcastle disease (ND), prevention and control remain a challenge. This study evaluated three different ND vaccines. A total of one hundred and twenty, day-old brown pullets obtained from a commercial hatchery in Ibadan, Nigeria were used for the experiment. The birds were randomly assigned into 4 groups in which groups A, B and C were vaccinated on days 1, 21 and 42 of age, while group D served as unvaccinated group (control). Hitchner B1 (HB1), Clone-30 and F-Strains were used as the primers for the 3 vaccinated groups respectively. Blood samples were collected from all birds in each group on vaccination day and assayed for NDV antibody by Haemagglutination-inhibition (HI) test. Twenty five chickens from each group were challenged with virulent Newcastle disease virus (Kudu 113 strain) at 3rd week after the last vaccination. The mean antibody titres of the chickens from the vaccinated groups at 3rd week post primary vaccination showed no significant difference. However, a significant difference existed following secondary vaccination with La Sota and Komarov strains at 3rd and 6th weeks of age. A good immune response and clinical resistance were observed in group of chickens vaccinated with Hitchner B1 and Clone-30 as primers than those vaccinated using F-strain. Therefore, Hitchner B1 or Clone-30 is better primer for vaccinating chickens against Newcastle disease.Keywords: Chickens, Vaccination, antibody, Newcastle disease, Challenge viru

Knowledge of poultry diseases, biosecurity and husbandry practices among stakeholders in poultry production in Kogi State, Nigeria

Commercial poultry production is low in Kogi State even before the advent of highly pathogenic avian influenza (HPAI H5N1) outbreak in Nigeria. The low level of poultry production has persisted long after the socio -economic impacts of HPAI had improved. A study was conducted among 94 poultry stakeholders in the state with the use of questionnaire to assess their knowledge of poultry diseases, biosecurity and poultry husbandry practices in six Local Government Areas of Kogi State. The findings showed that 60.0% of poultry production was rural while the rest were backyard (semi commercial) poultry. About 64.7% of poultry kept were under extensive management with the commonest diseases seen under this management system being Newcastle disease (62.9%), Coccidiosis (52.3%), Fowl pox (46.9%), Gumboro disease (39.1%) and Fowl typhoid (36.1%). Biosecurity was poor as 92.9% of respondents did not have footbath or hand wash disinfection; 70% would throw away poultry litter in the refuse dump; 12% would use the poultry litter as manure while 11% would sell out the litter. In addition, 64.7% of the poultry farmers obtained their rearing stock from the live bird market and other unknown sources while only 35.3% obtained theirs from the hatchery. The findings of this study showed that the low level of commercial poultry production in Kogi State might be due to the impacts of diseases and poor husbandry practices undertaken by the farmers. It is recommended that government should train poultry farmers on biosecurity, disease prevention and the adoption of modern husbandry practices suitable for the traditional poultry production system

Risk factors for the occurrence and spread of Highly Pathogenic Avian Influenza H5N1 in commercial poultry farms in Kano, Nigeria

Outbreaks of Highly Pathogenic Avian Influenza (HPAI) subtype H5N1 occurred previously for three consecutive years, 2006, 2007 and 2008 in Kano State, Nigeria, causing heavy economic losses to farmers and the government. It was against this background that risk factors for the occurrence and spread of HPAI H5N1 among commercial poultry farms in the State were evaluated. A total of 64 farms comprising 32 affected (AF) and 32 non-affected (NAF) farms were enrolled for this study. Questionnaires were designed and administered to the selected farms through interviews with farm owners or farm managers during on-site visits. Information on flock profile including farm characteristics and environment, husbandry practices, biosecurity practices, farm trade practices and employee activities were obtained and analyzed. Pearson Chi square and Fisher’s exact tests were used to compare categorical variables. Values of p< 0.05 were considered significant. Odds ratios (OR) and 95% confidence intervals (CI) were calculated to measure the strength and statistical significance of associations between the variables and occurrence and spread of HPAI H5N1 in commercial poultry farms in the State. The most significant risk factors were the presence of untreated surface water on farms (OR 18.6, 95%CI 2.24 – 154.34, p = 0.001), exchange of egg crates between traders and farmers (OR 12.1, 95%CI 1.43 – 102.61, p = 0.006), allowing egg crates of traders into poultry pens (OR 11.67, 95%CI 2.37 – 57.86, p = 0.001) and allowing rodents/wild birds access to poultry feed (OR 3.65, 95%CI 0.23 – 1.87, p = 0.024). It was recommended that veterinary inspection to enforce and encourage best biosecurity practices for the poultry farms should be introduced and sustained

Identification and Density Estimation of American Martens (Martes americana) Using a Novel Camera-Trap Method

Camera-traps are increasingly used to estimate wildlife abundance, yet few studies exist for small-sized carnivores or comparing efficacy against traditional methods. We developed a camera-trap to identify the unique ventral patches of American martens (Martes americana). Our method was designed to: (1) determine the optimal trap configuration to photograph ventral patches; (2) evaluate the use of temporally clustered photographs to determine independence and improve identification; and (3) determine factors that influence identification probability. We tested our method by comparing camera- and live-trap density estimates using spatial capture–recapture (SCR) models. The ventral patches of radio-collared martens were most visible when traps were placed 15–20 cm above a feeding platform. Radio-collared martens (n = 14) visited camera-traps for long periods (median = 7 min) with long intervals between visits (median = 419 min), and visits by different martens at the same trap \u3c15 min apart was infrequent (n = 3) during both years. Similarly, there was complete agreement among observers that clustered photos of un-collared martens were always of the same individual. Pairwise agreement was high between observers; eight un-collared martens were identifiable by consensus on 90% (54 of 60) of recorded visits. Factors influencing identification probability were directly related to the time martens spent feeding at traps (β = 0.143, P = 0.01) and inversely proportional to the time that elapsed since traps were baited (β = −0.344, P = 0.006). Density estimates were higher and more precise for camera-trapping (0.60, 0.35–1.01 martens/km2) than live-trapping (0.45, 0.16–1.22 martens/km2), providing evidence that SCR density estimates may be biased when capture heterogeneity is present, yet cannot be accounted for due to small sample size. Our camera-trap method provides a minimally invasive and accurate tool for monitoring marten populations

A review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gained enormous attention in scientific and practical applications. A smart contract is the central aspect of a blockchain that facilitates blockchain as a platform outside the cryptocurrency spectrum. The development of blockchain technology, with a focus on smart contracts, has advanced significantly in recent years. However research on the smart contract idea has weaknesses in the implementation sectors based on a decentralized network that shares an identical state. This paper extensively reviews smart contracts based on multi criteria analysis challenges and motivations. Therefore, implementing blockchain in multi-criteria research is required to increase the efficiency of interaction between users via supporting information exchange with high trust. Implementing blockchain in the multi-criteria analysis is necessary to increase the efficiency of interaction between users via supporting information exchange and with high confidence, detecting malfunctioning, helping users with performance issues, reaching a consensus, deploying distributed solutions and allocating plans, tasks and joint missions. The smart contract with decision-making performance, planning and execution improves the implementation based on efficiency, sustainability and management. Furthermore the uncertainty and supply chain performance lead to improved users confidence in offering new solutions in exchange for problems in smart contacts. Evaluation includes code analysis and performance while development performance can be under development.Comment: Revie

Nutritional and morbidity outcomes of children managed for severe acute malnutrition in Jigawa State, Nigeria

Introduction: The community-based approach to the management of severe acute malnutrition (SAM) is a cost effective and scientifically sound method of mitigating the soaring burden of under-five malnutrition in resource constrained countries. However, since the adoption of this novel intervention in Nigeria, local studies that have evaluated its overall effectiveness are sparse.Methodology: This longitudinal observational study was designed to assess at discharge, the nutritional status, as well as the nutritional related co-morbidities of 494 children enrolled into the Community Management of Acute Malnutrition (CMAM) programme. It is part of an impact evaluation study. The parameters evaluated at enrolment and at discharge included the anthropometry, presence of common morbidities and immunization status. Data were captured electronically with the aid of CSPro software. The study was carried out across 10 randomly selected CMAM clinics in Jigawa state, North West Nigeria.Result: Out of the 494 malnourished children recruited, 410 were discharged, the remaining were reported as absconded or died, with an average duration of stay of 7.3±1.6 weeks in the clinics, and a discharge cure rate of 63.4%. There was improvement in the mean weight (6.0kg at enrolment vs 7.3kg at discharge, p=0.000), mean occipito-frontal circumference (44.1cm at enrolment vs 45.3cm at discharge, p=0.000) and Weight-for-Height z score (-2.65 at enrolment vs 0.75 at discharge, p=0.000 ). A significant discordance in the nutritional outcome at discharge, as assessed independently by Mid Upper Arm Circumference (MUAC) and Weight-for-Height z score (WHZ), was documented; 9% and 28% still had SAM at discharge based on MUAC and WHZ respectively (p=0.000). The burden of nutritional related morbidities (diarrhoea dysentery, refusal to eat) reduced significantly at discharge (p=0.000) while immunization coverage increased by 7%.Conclusion: The CMAM programme in Jigawa, Nigeria has undoubtedly yielded positive outcomes. However, proactive measures should be taken to achieve the Sphere standards recommended minimum discharge cure rate. This may be achieved by ensuring that health care workers continually adhere to the guiding principles of CMAM. There is also a need for introduction of HIV and tuberculosis screening as non-responders maybe infected by any of these diseases