Participatory Evaluation and Selection of Improved Bread Wheat (Triticum Aestivum. L) Varieties in Northern Ethiopia

Participatory variety selection trials were conducted in 2018 G.C in Laelay-maichew, Tahtay-maichew and Ahferom districts of central zone of Tigrai to evaluate the performance of improved bread wheat (Triticum aestivum. L) Variety and to assess farmers’ criteria for bread wheat variety selection. Six improved bread wheat varieties (Mekelle-1, Mekelle-2, Ogolcho, Kingbird and Hedasse) including the most popular variety ‘Kakaba’ were used for the study at eighteen farmers (six from each district). The experiment was laid out using randomized complete block design at baby trial with three replications. Analysis of variance revealed a significant difference among the tested varieties for most of the agronomic traits except for kernels per spike and harvest index in all the tested locations. In the preference ranking, farmers used their own traits of interest which were very important in their wheat varieties for selection. Hence, common criteria’s identified by the farmers to select the best varieties were; grain yield, biomass yield, earliness, disease resistance, spike length and seed size. Accordingly direct matrix ranking by farmers showed that Ogolcho was top ranked both at L/maichew and Ahferom followed by Kakaba, however Mekelle-1 was first ranked followed by Kakaba at T/maichew.  Therefore farmers of L/maichew and Ahferom were recommended to use Ogolcho and Kakaba, whereas Mekelle-1 was recommended for T/maichew

Adaptation of Tef {Eragrostistef(Zucc) Trotter} Varieties for Early Maturing Types in Tigray

Tef is the most important and wider adaptable cereal crop in Ethiopia. The most limiting tef productions are low yielding cultivars, biotic such as pest and diseases and abiotic such as drought, fertility depletion and inappropriate agronomic practice and difficulty nature of tef for mechanization. The objective of the study was to evaluate the adaptability of early maturing tef varieties. Tef varieties were evaluated for their earliness and adaptability at three locations and over two years. The trial included 8 varieties and one local check with the design of RCBD in three replications. The analysis of variance showed that there was significant difference (P<-0.001) between genotypes and locations for the days to heading, days to maturity, plant height, panicle length, grain yield and (P<-0.05) for biomass yield. However, it does not provide evidence for interaction between the varieties and locations on all traits except for days to maturity. Simada was early maturing and well performing, following Boset. Therefore, cultivation of both varieties enhances the production of tef in the study areas and similar agro-ecologies. Allocation of varieties to their niche might increase the productivity of tef. In general, evaluation tef varieties in the right place and development of target variety for earliness and yield performance increase production in the region as well as the nation. Further work needed breeding to develop drought tolerant and higher yielding

Grain Yield Performance and Parametric Stability Statistics of Tef {Eragrostis tef (Zucc) Trotter} Genotypes in Tigray, Ethiopia

The most constraints of tef productions are lodging, drought, low yield cultivars; insect and disease affected the growth of tef. These, factors causes inconsistence performance yield due to GEI. The objective was to evaluate tef genotypes on their yield performance, stability and parametric stability to select most independent and informative statistics method. The experiment was conducted at four locations for two seasons; with design of RCBD three replications, two standard checks and 19 tef genotypes. Data was collected on grain yield and analyzed by R software and STABILITYSOFT. The analysis of variance for the combined mean of grain yield showed that there was significance difference (P<0.001) between genotypes, environments and GEI. Yield performance was influenced by Environments and GEI. The mean grain yield of genotypes over GEI varies from 820.94kg/ha to 2438.90kg/ha, while the genotype grain yield was ranged from 1382 to 1989kg/ha. G19, G17 and G6 were identified the higher grain yield performance over seven environments. Whereas, G8 and G11 were the lowest yielding tef genotypes. Nine parametric methods and GGE biplot were used to evaluate the stability of the genotypes. G19 was the most stable following G17 and would be grown for unfavorable growing environments. However, G6 was stable for favorable environmental condition. G19 and G17 had static stability and fitting for area faced with erratic rain fall. Even though, parametric stability did not show a positive and statistically significant correlation with mean yield the Mean variance component (θi) is selected with GGE biplot for evaluation of tef genotypes in the development of cultivar. Effective selection of variety would be best if mega-environment, representative and discriminating testing areas are identified

Magnitude and associated factors of virological failure among children on ART in Bahir Dar Town public health facilities, Northwest Ethiopia: a facility based cross-sectional study

Background Despite the rapid scale-up of antiretroviral therapy, virologic failure has become global public health concern and challenge, especially in developing countries. Viral load monitoring is an important approach to identify treatment failure and develop public health interventions in children receiving antiretroviral therapy. Thus, this study aims to assess the magnitude and associated factors of virological failure among children on antiretroviral therapy. Methods A facility-based cross-sectional study was conducted among 399 HIV-positive children on antiretroviral therapy from 2016 to 2019 in Bahir Dar Town public health facilities. Data were extracted from children’s charts using a standardized data extraction tool, adapted from ART intake and follow-up forms. Data were entered using Epi-Data Version 3.1, and analyzed using SPSS Version 25. Bivariable and multivariable binary logistic regression models were done to identify factors associated with virological failure. Variables with p-values < 0.25 were fitted into the multivariable analysis. Finally, variables with p-values <0.05 were considered as statistically significant factors. Results The period prevalence of virological failure was found to be 14.8% (95% CI: 11.5–19.3%). Opportunistic infections (AOR = 2.19, CI: 1.13–4.25), history of treatment interruption and restart (AOR = 2.21, CI: 1.09–4.54), younger age (AOR = 2.42, CI: 1.02–5.74), poor/fair ART adherence (AOR = 2.19, CI: 1.05–4.57), and advanced baseline WHO clinical staging (AOR = 2.32, CI: 1.14–4.74) were found to be factors significantly associated with virological failure. Conclusion The magnitude of virological failure among HIV-infected children remained high. Children with poor/fair ART adherence, history of treatment interruption, advanced baseline WHO clinical staging, younger age, and opportunistic infections were significantly associated with virologic failure. Thus, special attention should be given to children who had poor/fair ART adherence and presenting with opportunistic infections

Enforcing full-stack memory-safety in cyber-physical systems

Memory-safety attacks are one of the most critical threats against Cyber-Physical Systems (CPS). As opposed to mainstream systems, CPS often impose stringent timing constraints. Given such timing constraints, how can we protect CPS from memory-safety attacks? In this paper, we propose a full-stack memory-safety attack detection method to address this challenge. We also quantify the notion of tolerability of memory-safety overheads (MSO) in terms of the expected real-time constraints of a typical CPS. We implemented and evaluated our proposed solution on a real-world Secure Water Treatment (SWaT) testbed. Concretely, we show that our proposed solution incurs a memory-safety overhead of 419.91 µs, which is tolerable for the real-time constraints imposed by the SWaT system. Additionally, We also discuss how different parameters of a typical CPS will impact the execution time of the CPS computational logic and memory safety overhead. © Springer International Publishing AG, part of Springer Nature 2018

Attribute Based Access Control for APIs in Spring Security

none4The widespread adoption of Application Programming Interfaces (APIs) by enterprises is changing the way business is done by permitting the implementation of a multitude of apps, customized to user needs. While supporting a more flexible exploitation of available data, services and applications developed on top of APIs are vulnerable to a variety of attacks, ranging from SQL injection to unauthorized access of sensitive data. Available security solutions must be re-used and/or adapted to work with APIs. In this paper, we focus on the development of a flexible access control mechanism for APIs. This is an important security mechanism to guarantee the enforcement of authorization constraints on resources while invoking their API functions. We have developed an extension of the Spring Security framework, the standard for securing services and apps built in the popular (open source) Spring framework, for the specification and enforcement of Attribute-Based Access Control (ABAC) policies. We demonstrate our work with scenarios arising in a smart energy eco-system.Armando A.; Carbone R.; Chekole E. G.; Ranise S.Armando A.; Carbone R.; Chekole E. G.; Ranise S

Participatory Evaluation and Selection of Improved Bread Wheat (Triticum Aestivum. L) Varieties in Northern Ethiopia

Participatory variety selection trials were conducted in 2018 G.C in Laelay-maichew, Tahtay-maichew and Ahferom districts of central zone of Tigrai to evaluate the performance of improved bread wheat (Triticum aestivum. L) Variety and to assess farmers’ criteria for bread wheat variety selection. Six improved bread wheat varieties (Mekelle-1, Mekelle-2, Ogolcho, Kingbird and Hedasse) including the most popular variety ‘Kakaba’ were used for the study at eighteen farmers (six from each district). The experiment was laid out using randomized complete block design at baby trial with three replications. Analysis of variance revealed a significant difference among the tested varieties for most of the agronomic traits except for kernels per spike and harvest index in all the tested locations. In the preference ranking, farmers used their own traits of interest which were very important in their wheat varieties for selection. Hence, common criteria’s identified by the farmers to select the best varieties were; grain yield, biomass yield, earliness, disease resistance, spike length and seed size. Accordingly direct matrix ranking by farmers showed that Ogolcho was top ranked both at L/maichew and Ahferom followed by Kakaba, however Mekelle-1 was first ranked followed by Kakaba at T/maichew.  Therefore farmers of L/maichew and Ahferom were recommended to use Ogolcho and Kakaba, whereas Mekelle-1 was recommended for T/maichew.</jats:p

Adaptation of Tef {Eragrostistef(Zucc) Trotter} Varieties for Early Maturing Types in Tigray

Tef is the most important and wider adaptable cereal crop in Ethiopia. The most limiting tef productions are low yielding cultivars, biotic such as pest and diseases and abiotic such as drought, fertility depletion and inappropriate agronomic practice and difficulty nature of tef for mechanization. The objective of the study was to evaluate the adaptability of early maturing tef varieties. Tef varieties were evaluated for their earliness and adaptability at three locations and over two years. The trial included 8 varieties and one local check with the design of RCBD in three replications. The analysis of variance showed that there was significant difference (P&lt;-0.001) between genotypes and locations for the days to heading, days to maturity, plant height, panicle length, grain yield and (P&lt;-0.05) for biomass yield. However, it does not provide evidence for interaction between the varieties and locations on all traits except for days to maturity. Simada was early maturing and well performing, following Boset. Therefore, cultivation of both varieties enhances the production of tef in the study areas and similar agro-ecologies. Allocation of varieties to their niche might increase the productivity of tef. In general, evaluation tef varieties in the right place and development of target variety for earliness and yield performance increase production in the region as well as the nation. Further work needed breeding to develop drought tolerant and higher yielding. </jats:p

Grain Yield Performance and Parametric Stability Statistics of Tef {Eragrostis tef (Zucc) Trotter} Genotypes in Tigray, Ethiopia

The most constraints of tef productions are lodging, drought, low yield cultivars; insect and disease affected the growth of tef. These, factors causes inconsistence performance yield due to GEI. The objective was to evaluate tef genotypes on their yield performance, stability and parametric stability to select most independent and informative statistics method. The experiment was conducted at four locations for two seasons; with design of RCBD three replications, two standard checks and 19 tef genotypes. Data was collected on grain yield and analyzed by R software and STABILITYSOFT. The analysis of variance for the combined mean of grain yield showed that there was significance difference (P&lt;0.001) between genotypes, environments and GEI. Yield performance was influenced by Environments and GEI. The mean grain yield of genotypes over GEI varies from 820.94kg/ha to 2438.90kg/ha, while the genotype grain yield was ranged from 1382 to 1989kg/ha. G19, G17 and G6 were identified the higher grain yield performance over seven environments. Whereas, G8 and G11 were the lowest yielding tef genotypes. Nine parametric methods and GGE biplot were used to evaluate the stability of the genotypes. G19 was the most stable following G17 and would be grown for unfavorable growing environments. However, G6 was stable for favorable environmental condition. G19 and G17 had static stability and fitting for area faced with erratic rain fall. Even though, parametric stability did not show a positive and statistically significant correlation with mean yield the Mean variance component (θi) is selected with GGE biplot for evaluation of tef genotypes in the development of cultivar. Effective selection of variety would be best if mega-environment, representative and discriminating testing areas are identified.</jats:p