EMERGING INTERNET OF THINGS (IOT) TECHNOLOGY TO IDENTIFY AND REPORT SUSPECTED CASES OF EBOLA VIRUS DISEASE: A SURVEY OF 2014 EBOLA OUTBREAK
The application Internet of Things (IoT) technologies that are readily available across many developed countries of the World can drastically improve the rapid response of health practitioners in handling and managing infectious diseases in patients, especially Zoonotic disease like Ebola Virus disease. The management of Ebola Virus disease in real time is a challenge and will be our focus due to the danger it poses in case of an epidemic outbreak as it requires rapid response to checkmate the disease. This paper uses a case study approach in its methodology. It presents an investigative framework for the application of Internet of Things (IoT) Technologies in tackling the Suspected Case of Ebola Virus Disease in Nigeria. The study proposes the use of IoT technology and other smart devices (such as smartphone, body temperature sensor) in sensing and identifying Suspected Case of Ebola Virus, and Reporting of Real time data generated from the Suspected case anytime, anywhere for quick response intervention. The result is to provide better health emergency rapid response and proper management of the virus disease pattern to achieve timely intervention in the control or containment of the outbreak while limiting the spread and risk factor. The general aim of this work is to design a real time detection and/or identification system for Suspected Cases of Ebola Virus Disease. The specific objectives are to: conduct a relative review of frameworks to aid the propose system, design an Ebola Smart Detection System (EDS) to detect and/or identify a Suspected case of Ebola Virus disease. Identify/evaluate whether or not a Contacted (infected) case is symptomatically a suspected case of Ebola Virus disease. And report data in Real-time to the healthcare practitioner/facility and patient’s guardian, while focusing on providing quick response intervention capable of reducing the spread of the Ebola Virus Disease amongst…
The production and productivity of field pea in Ethiopia is constrained by low-yielding po-tential of land race, susceptibility to diseases like powdery mildew and Ascochyta blight/spot as well as a biotic stresses like frost and soil acidity. The field experiment was conducted in 2018/19 main cropping season at two locations using simple lattice design to evaluate the genetic variability and performance of forty nine field pea genotypes for yield ad yield attributing traits. The combined/pooled / analysis of variance revealed highly sig-nificant (P≤0.01) to significant (P≤0.05) differences among genotypes observed for all traits under study except for number of seeds pod -1 . The seed yield ranged from 1955 to 5997 kg ha-1 with a mean of 3803 kg across the two locations. Two genotypes PDFPT-BEK and P-313-053 were relatively high yielder over the two locations. The genotypic (GCV) and phenotypic (PCV) coefficient of variation (GCV) ranged from (1.07%) to (22.40%) and (1.22%) to (28.18% for days to maturity and grain yield, respectively for combined analyses. The PCV values were relatively greater than GCV in magnitude for all traits, of which significantly higher PCV than GCV values observed for number of pods per plant, Stand count, powdery mildew and ascocayta blight, but insignificant differences be-tween PCV and GCV values observed for days to flowering, days to maturity, plant height, 1000 seed weight, and grain yield. Broad sense heritability ranged from 23.66% to 90.73 %. The genetic advance as percentage of mean (GAM) varied from 1.92% to 36.73% .Higher heritability (H2) coupled with high GAM observed for grain yield per ha and Higher herita-bility (H2) coupled with Moderate or relatively high value of GAM in plant height and seed size. Therefore, improvement of these traits could be done through selection of genotypes based on the phenotypic performance.
CORRELATION AND PATH ANALYSIS FOR SOME AGRONOMIC CHARACTERS IN FIELD PEA (PISUMSATIVUM L.) GENOTYPES
Field pea is an important pulse crop in Ethiopia. However, the national productivity of field pea is low and thus knowledge on the nature and magnitude of character association and identification of important character is a prerequisite for the development of high yielding field pea genotypes. Hence a total of 49 field pea genotypes were grown in 7x 7 simple lattice design at two environments during 2018/19 main cropping season to estimate the magnitude of association among characters and to study the contribution of direct and indirect effect of different characters on grain yield in field pea genotypes. Positive and significant genotypic correlation observed between grain yield with plant height (rg=0.67), seeds per pod (rg = 0.45), days to maturity (rg =0.41) and pods per plant (rg=0.33). In additions, genotypic path analysis showed that plant height (0.746) exerted the maximum positive direct effect on grain yield followed by stand count at harvest (0.443), 1000 seed weight (0.372), seeds per pod (0.214), pods per plant (0.213), and days to maturity (0.013). Finally, selection for traits such as plant height, pods per plant, seeds per pod and days to maturity could improve grain yield in field pea.
RESPONSE OF FIELD PEA (PISUM SATIVUM L.) GENOTYPES TO ASCOCHYTA BLIGHT (MYCOSPHAERELLA PINODES) DISEASE
The yield of field pea in Ethiopia is partly hampered due to the prevalence of Ascochyta Blight disease. 49 field pea materials including 21 introduced field pea materials; 19 single plants selected from bulked gene pool materials and 9 released varieties were evaluated under field condition of two environments using simple lattice design to identify resistant genotypes. The current study revealed that considerable variation was found for response against ascochyta blight diseases and yield performance even if high level of resistance materials were not identified. High degree of disease severity was observed at Kofele site than Bekoje. Out of the total 49 genotypes; 16 genotypes (GPHA03, GPHA019, GPHA06, GPHA01, GPHA018,P-313-010 , P-313-045 ,P-313-086, P-313-082, P-313-071 , P-313-065 , P-313-098 , P-313-061 , P-313-068 , P-313-067 and PDFPT-BEK) were moderately resistant and the remaining 33 materials were susceptible to ascochyta blight disease. Genotypes PDFPT-BEK, P-313-067,P-313-010, and P-313-082 were relatively high yielder and moderately resistant materials. To confirm with the present finding, it must be further studied in a number of years and locations with more number of genotypes and to get more resistant genotypes for further breeding purpose.
THE PROVISION OF THE MODERN AND SPECIAL FEATURES OF AREALING OF THE MOUNTAINS AND BLACK LANDS IN THE GEDABEY DISTRICT
In soil genetic factors, soil-absorbing factors have always been in the spotlight. The formation of genetic strata of the soil and the variation of time depending on various spatial factors remains a widespread and urgent topic in the classical soil science, which has been continuously monitored to date. It is well-known that the most favorable approach to the study of soils can be achieved by obtaining a comprehensive set of data by studying its interrelationship of the environment and natural complexes, studying its dependence on time and space. They were also studied here the probability of the intensity of the erosion process and the prerequisites for its mitigation and control. The results of the research prove that soil erosion is based on natural and anthropogenic factors. The main objectives of the study were to determine the amount and level of development of worn and erosion-prone soils in the foothills of the country, where it is very difficult to develop on the slope soils of Upper Gedebey. Therefore, in this connection, the tasks are solved, taking into account the requirements of preserving the ecological situation in the example of the Gedebey district of the Upper Lesser Caucasus zone of the Republic of Azerbaijan, where the areas of its potential danger are identified and the preconditions for its prevention are given. It is recognized that the study was conducted Lesser Caucasus zone of the republic where the incline height reaches 800-1000 m From sea levels.