A Comparison of the Socio- Economic Characteristics of Dairy-Crop Integrators versus Non Integrators: A Case Study in Elgeyo-Marakwet County, Kenya

The aim of this study was to compare the different inherent socio economic characteristics amongst the dairy-crop integrators and non integrators in Elgeyo-Marakwet County, Kenya. The study carried out a census of 85 integrators and 85 non integrators. The data were collected with the help of a structured questionnaire. Descriptive statistics such as means and percentages were used to present the findings. The study found out that Integrators had a higher household size mean unlike the non integrators. The integrators had a lower mean in years of schooling of as compared to that of non integrators who had a higher mean of years of schooling. On the other hand, Integrators had a larger size of land on average as compared to non integrators. The study therefore recommends policy interventions to enhance access to credit, reduce illiteracy levels among rural entrepreneurs through training and extension services. Key words: Integration, Non-integration, Off-farm income, Househol

Molecular screening for Plasmodium falciparum resistance markers for artemisinins in Mbita, Kenya

Artemisinins-based combination therapies (ACTs) are being recommended against uncomplicated malaria in endemic areas of Africa. However, in these areas data on their long term usefulness is limited. It has been demonstrated that ACTs resistance may be due to single nucleotide polymorphisms (SNPs) in the chemotherapeutic target, the SERCA-type ATPase protein (PfATPase6). This study analyzed PfATPase6 mutations in asymptomatic infections from samples collected from Mbita, a malaria endemic region in Kenya. Mutations in A623E and S769N residues were screened with gene specific primers followed by sequencing. The study demonstrates that there is no mutation in Mbita, Kenya because neither A623E nor S769N PfATPase6 mutations were detected. Resurgence of infections in this area could be due to re-infections and not drug failure. The study recommends that other sites be assessed for PfATPase 6 mutations to verify the long-term usefulness of ACT and monitor any emergency of resistance.Keywords: ACT (Artemisinins-based Combination Therapy), Molecular, Mutations, PfATPase 6doi: 10.4314/ajcem.v12i3.

Non-Invasive Sampling of Schistosomes from Humans Requires Correcting for Family Structure

For ethical and logistical reasons, population-genetic studies of parasites often rely on the non-invasive sampling of offspring shed from their definitive hosts. However, if the sampled offspring are naturally derived from a small number of parents, then the strong family structure can result in biased population-level estimates of genetic parameters, particularly if reproductive output is skewed. Here, we document and correct for the strong family structure present within schistosome offspring (miracidia) that were collected non-invasively from humans in western Kenya. By genotyping 2,424 miracidia from 12 patients at 12 microsatellite loci and using a sibship clustering program, we found that the samples contained large numbers of siblings. Furthermore, reproductive success of the breeding schistosomes was skewed, creating differential representation of each family in the offspring pool. After removing the family structure with an iterative jacknifing procedure, we demonstrated that the presence of relatives led to inflated estimates of genetic differentiation and linkage disequilibrium, and downwardly-biased estimates of inbreeding coefficients (F[subscript IS]). For example, correcting for family structure yielded estimates of F[[subscript ST] among patients that were 27 times lower than estimates from the uncorrected samples. These biased estimates would cause one to draw false conclusions regarding these parameters in the adult population. We also found from our analyses that estimates of the number of full sibling families and other genetic parameters of samples of miracidia were highly intercorrelated but are not correlated with estimates of worm burden obtained via egg counting (Kato-Katz). Whether genetic methods or the traditional Kato-Katz estimator provide a better estimate of actual number of adult worms remains to be seen. This study illustrates that family structure must be explicitly accounted for when using offspring samples to estimate the genetic parameters of adult parasite populations

“But the moment they find out that you are MSM…”: a qualitative investigation of HIV prevention experiences among men who have sex with men (MSM) in Ghana’s health care system

Abstract: The prevalence of HIV in Ghana is 1.3%, compared to 17% among men who have sex with men (MSM). There is limited empirical data on the current health care climate and its impact on HIV prevention services for Ghanaian MSM. The purposes of this study were to investigate (1) MSM’s experiences using HIV prevention resources, (2) what factors, including health care climate factors, influenced MSM’s use of prevention resources and (3) MSM self-identified strategies for improving HIV/sexually transmitted infection (STI) prevention among MSM in Ghanaian communities. Methods: We conducted 22 focus groups (n = 137) with peer social networks of MSM drawn from three geographic communities in Ghana (Accra, Kumasi, Manya Krobo). The data were examined using qualitative content analysis. Interviews with individual health care providers were also conducted to supplement the analysis of focus group findings to provide more nuanced illuminations of the experiences reported by MSM..

Interactions between Natural Populations of Human and Rodent Schistosomes in the Lake Victoria Region of Kenya: A Molecular Epidemiological Approach

One of the world's most prevalent neglected diseases is schistosomiasis, which infects approximately 200 million people worldwide. Schistosoma mansoni is transmitted to humans by skin penetration by free-living larvae that develop in freshwater snails. The origin of this species is East Africa, where it coexists with its sister species, S. rodhaini. Interactions between these species potentially influence their epidemiology, ecology, and evolutionary biology, because they infect the same species of hosts and can hybridize. Over two years, we examined their distribution in Kenya to determine their degree of overlap geographically, within snail hosts, and in the water column as infective stages. Both species were spatially and temporally patchy, although S. mansoni was eight times more common than S. rodhaini. Both species overlap in the time of day they were present in the water column, which increases the potential for the species to coinfect the same host and interbreed. Peak infective time for S. mansoni was midday and dawn and dusk for S. rodhaini. Three snails were coinfected, which was more common than expected by chance. These findings indicate a lack of obvious isolating mechanisms to prevent hybridization, raising the intriguing question of how the two species retain separate identities

A New Complexity Metric for UML Sequence Diagrams

Object-Oriented Programming (OOP) has been promoted as a way to produce high-quality software while increasing developer productivity through code reuse. Software systems and underlying designs get more extensive and more complicated while maintaining a high degree of quality. One of the widely accepted standards for describing software architectures is the UML Sequence Diagram. A sequence diagram depicts the interaction of two-dimensional chart players by showing messages delivered and received between them. This research aims to develop and validate a metric for complexity evaluation in software design architectures through UML Sequence diagrams. The study included design science, which included metric specification, the creation of a measurement tool, and conceptual and factual verification of the metrics. The metrics use diagram-centric complexity measurements shown to be meaningful when used to determine the difficulty of two example sequence diagrams. Furthermore, conceptual affirmation of the stated metrics was achieved through Weyuker's nine characteristics, which demonstrated that they are computationally efficient. The metric was empirically authenticated, and the findings show that measuring the complexity of sequence diagrams is expedient

Preface : challenges and opportunities for enhancing food security in Kenya

Achieving sustainable food security in Sub- Saharan Africa is one of the main challenges facing African governments and the international community. The 2007– 2008 food crisis and ongoing chronic hunger problems clearly demonstrate that millions of people on the continent, including in relatively stable countries such as Kenya, are dangerously vulnerable to economic, political and climatic shocks that threaten food availability and accessibility. At the heart of the strategies to build resilience and tackle food insecurity is the need for effective institutional and policy frameworks that can support local innovations while taking into account the biophysical, social and economic constraints within which rural livelihoods operate. The papers included in this Special Issue of Food Security support the view that for food security initiatives in Kenya to be effective, they must embrace solutions that are equitable, generalizable and ecologically sound to ensure sustainability. Ultimately, to improve innovation and technology adoption, a systems approach that allows women and men, wealthy and poor farmers to engage with scientific and political elites in the design and implementation of food-related research and development initiatives must be embraced. There is also the need to develop tools and approaches that can assist smallholder farmers, researchers, policy makers and other stakeholders to share a better understanding of the multiple factors driving food insecurity and hindering the implementation of effective policies and institutions

Data from: Genomic signatures of adaptation to Sahelian and Soudanian climates in sorghum landraces of Senegal

Uncovering the genomic basis of climate adaptation in traditional crop varieties can provide insight into plant evolution and facilitate breeding for climate resilience. In the African cereal sorghum (Sorghum bicolor L. [Moench]), the genomic basis of adaptation to the semiarid Sahelian zone versus the subhumid Soudanian zone is largely unknown. To address this issue, we characterized a large panel of 421 georeferenced sorghum landrace accessions from Senegal and adjacent locations at 213,916 single‐nucleotide polymorphisms (SNPs) using genotyping‐by‐sequencing. Seven subpopulations distributed along the north‐south precipitation gradient were identified. Redundancy analysis found that climate variables explained up to 8% of SNP variation, with climate collinear with space explaining most of this variation (6%). Genome scans of nucleotide diversity suggest positive selection on chromosome 2, 4, 5, 7, and 10 in durra sorghums, with successive adaptation during diffusion along the Sahel. Putative selective sweeps were identified, several of which colocalize with stay‐green drought tolerance (Stg) loci, and a priori candidate genes for photoperiodic flowering and inflorescence morphology. Genome‐wide association studies of photoperiod sensitivity and panicle compactness identified 35 and 13 associations that colocalize with a priori candidate genes, respectively. Climate‐associated SNPs colocalize with Stg3a, Stg1, Stg2, and Ma6 and have allelic distribution consistent with adaptation across Sahelian and Soudanian zones. Taken together, the findings suggest an oligogenic basis of adaptation to Sahelian versus Soudanian climates, underpinned by variation in conserved floral regulatory pathways and other systems that are less understood in cereals

SNP Data Set of Senegalese Sorghum in the USDA-NPGS GRIN

The file contains 213,916 GBS-SNPs obtained using genotyping-by-sequencing on the Senegalese sorghum accessions in the USDA-NPGS GRIN. Single-end sequence reads obtained from Illumina sequencing HiSeq 2500 were processed with the TASSEL 5 GBS v2 pipeline and sequence tags were aligned to the sorghum reference genome, BTx623 for SNP discovery. Only SNPs with 0.01, and biallelic SNPs are present in this data set