Determinants of Stevia (stevia rebaudiana) Adoption by Small Scale Farmers in Kericho District, Kenya

The aim of this study was to determine the socio-economic and institutional factors influencing Stevia adoption in Kericho District Kenya. A structured questionnaire was used to collect data from farmers both adopters and non adopters of Stevia through face to face interviews where purposive sampling methods were employed respectively and 150 respondents were contacted in total. Heckman two-step regression analysis was used to determine factors affecting Stevia adoption as well as the extent of adoption. The results showed that group membership, gender, education extension services and individual land ownership significantly and positively affected the adoption of Stevia while age was significant with negative effect.  Household size, farm size, revenue from Stevia and access to extension services significantly and positively influenced the extent of adoption. In conclusion, there is need for more effort in terms of extension service so as to encourage farmers to adopt improved crop varieties through demonstrations on farmers' fields, field days, farm visits and agricultural shows and also development of institutional strategies to support farmers. Therefore policy interventions is recommended to enhance access to credit, reduce illiteracy levels among farmers through training and extension services. Keywords: Stevia, adoption, socioeconomic factor

Determinants of Tea Marketing Channel Choice and Sales Intensity among Smallholder Farmers in Kericho District, Kenya

The aim of this study was to determine the socio-economic and institutional factors influencing smallholder farmers’ choice on tea marketing channel in Kericho District. A semi-structured and pre-tested questionnaire was used to collect data from smallholder tea farmers through face to face interview. Multistage sampling procedure was employed to contact 155 respondents. The study used Heckman two stage model to identify factors that determine tea growers’ choice of marketing channel and sales volume decisions once a marketing channel has been selected. The results showed that age, gender, education in years, farming years and second payments significantly affected the participation in marketing channel. Tea production, farming years, age and second payment significantly affected the intensity of participation.  The results of the study provide an insights to the policy makers on what needs to be done to promote and improve farmer-market linkages hence improve farmers’ incomes from their farming and marketing activities. Keywords: Tea, Marketing channel, socioeconomic factors

Genome sequence of the tsetse fly (Glossina morsitans):Vector of African trypanosomiasis

Tsetse flies are the sole vectors of human African trypanosomiasis throughout sub-Saharan Africa. Both sexes of adult tsetse feed exclusively on blood and contribute to disease transmission. Notable differences between tsetse and other disease vectors include obligate microbial symbioses, viviparous reproduction, and lactation. Here, we describe the sequence and annotation of the 366-megabase Glossina morsitans morsitans genome. Analysis of the genome and the 12,308 predicted protein-encoding genes led to multiple discoveries, including chromosomal integrations of bacterial (Wolbachia) genome sequences, a family of lactation-specific proteins, reduced complement of host pathogen recognition proteins, and reduced olfaction/chemosensory associated genes. These genome data provide a foundation for research into trypanosomiasis prevention and yield important insights with broad implications for multiple aspects of tsetse biology.IS

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century