Mapping Nairobi's dairy food system: An essential analysis for policy, industry and research

Demand for dairy products in sub-Saharan Africa, is expected to triple by 2050, while limited increase in supply is predicted. This poses significant food security risk to low income households. Understanding how the dairy food system operates is essential to identify mitigation measures to food insecurity impact. This study aims to determine the structure and functionality of Nairobi's dairy system using a value chain mapping approach

Beef, sheep and goat food chains supplying Nairobi: Analysis of 'value chain profiles' to investigate food security and safety risks

Introduction: Beef, sheep and goat meat consumption provides essential nutrients in highly bioavailable form, and poses a zoonotic pathogen threat. In Nairobi, these luxury products are difficult to access by poor households, yet little is known on the city’s food system in terms of food safety and security risks. An understanding of the food systems is essential to assess and contextualize the chains supplying poor households and to determine population exposure to hazards. Mapping is therefore crucial to assess food security and food safety risks. The present study characterised the Nairobi beef, sheep and goat food systems using value chain analysis. Methods: Data collection targeted the different stakeholders involved in beef, sheep and goat meat food systems from: (1) urban and periurban farmers; (2) livestock and meat traders, abattoir/market owners and workers, and livestock and meat transporters in all Nairobi markets; (3) managers of the main beef, sheep and goat meat processing companies; (4) urban and periurban retailers; (5) 205 low income consumers and (6) government/regulatory officers. Data were collected through focus groups discussion and individual interviews, and complemented with secondary data. Qualitative data were obtained on people, animals, products and chains interactions to identify all the existing stakeholders and chains, and assess their organizational, spatial and temporal structure. Quantitative data were collected to assess flow of products in the different chains and their contribution to the supply of these commodities to Nairobi. Data were recorded and entered in thematic templates for analysis. Mapping analysis was done through the creation of 'Chain profiles', which groups patterns of operations/flows of commodities. Mapping of these profiles was done at 3 levels: (1) people chain profile (map interactions of actors); (2) Geographical chain profiling (map of routes of animals and products); and (3) Product profiling. Findings and interpretations: Eight chain profiles that make up the beef, sheep and goat meat food systems were identified. A critical profile was the ‘less integrated terminal markets’, composed of chains where no group or person own a large proportion of different activities. This profile represents three quarters of the city’s beef, sheep and goat meat supply and contains two significant markets (Figure 1). Large companies integrate market, product transport and distribution, and mainly export or supply to high class retailers and consumers. Six beef keeping activities were identified in the city, mainly as temporary settlements. Sheep and goat keeping was mainly small scale (1-5 animals) and their animals are mostly slaughtered in households for festive occasions. In low income households beef was obtained from butcheries (83%), while goats were obtained from butcheries (51%) and markets (40%). This study shows the importance of specific chains to the food security of a city, and describes the dimensions of urban human-livestock interactions. In combination with an understanding of chains governance and barriers, this study provides a powerful approach, missing to date, for the investigation of nutrition and food safety risks

ANTIINFLAMMATORY PROPERTIES OF DICHLOROMETHANE: METHANOLIC LEAF EXTRACTS OF CAESALPINIA VOLKENSII AND MAYTENUS OBSCURA IN ANIMAL MODELS

Objective: Inflammation is the reaction to injury of the living tissues. Conventional medication of inflammation is expensive and arguably associated with various severe adverse effects hence the need to develop herbal agents that are effective as alternative. Caesalpinia volkensii and Maytenus obscura are plants that grow in Mbeere County of Eastern region of Kenya. This study was designed to evaluate the anti-inflammatory activity of C. volkensii and M. obscura plants. Methods: Experimental animals were divided in to four groups; normal group, diseased negative control group, diseased reference group and diseased experimental groups. Inflammation was inducted into the mice using carrageenan. The experimental groups were treated with leaf extracts of the plants at concentration of 50 mg/kg, 100 mg/kg and 150 mg/kg. Anti-inflammatory activities in rats were compared with diclofenac (15 mg/kg) as the standard conventional drug. Results: The leaf extracts of C. volkensii reduced the paw edema by between 6.50%-13.42% while the extracts of M. obscura reduced it by between 4.94%-22.36%. Diclofenac reduced the paw edema by between 4.11%-10.47%. Conclusion: The phytochemical screening results showed that the extracts of C. volkensii had flavonoids, steroids and phenolics while the leaf extracts M. obscura had phenolics, terpenoids and saponins. Flavonoids, saponins and phenolics have been associated with anti-inflammatory activities. Therefore, the study has established that the DCM: methanolic leaf extracts of Caesalpinia volkensii and Maytenus obscura are effective in management of inflammation

First experiences with a novel farmer citizen science approach: crowdsourcing participatory variety selection through on-farm triadic comparisons of technologies (TRICOT)

Rapid climatic and socio-economic changes challenge current agricultural R&D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance. Since the combinations of three technologies overlap, statistical methods can piece together the overall performance ranking of the complete pool of technologies. The tricot approach affords wide scaling, as the distribution of trial packages and instruction sessions is relatively easy to execute, farmers do not need to be organized in collaborative groups, and feedback is easy to collect, even by phone. The tricot approach provides interpretable, meaningful results and was widely accepted by farmers. The methodology underwent improvement in data input formats. A number of methodological issues remain: integrating environmental analysis, capturing gender-specific differences, stimulating farmers' motivation, and supporting implementation with an integrated digital platform. Future studies should apply the tricot approach to a wider range of technologies, quantify its potential contribution to climate adaptation, and embed the approach in appropriate institutions and business models, empowering participants and democratizing science

Genetic structure and diversity of wild sorghum populations (Sorghum spp.) from different eco-geographical regions of Kenya

Wild sorghums are extremely diverse phenotypically, genetically and geographically. However, there is an apparent lack of knowledge on the genetic structure and diversity of wild sorghum populations within and between various eco-geographical regions. This is a major obstacle to both their effective conservation and potential use in breeding programs. The objective of this study was to assess the genetic diversity and structure of wild sorghum populations across a range of eco-geographical conditions in Kenya. Sixty-two wild sorghum populations collected from the 4 main sorghum growing regions in Kenya were genotyped using 18 simple sequence repeat markers. The study showed that wild sorghum is highly variable with the Coast region displaying the highest diversity. Analysis of molecular variance showed a significant variance component within and among wild sorghum populations within regions. The genetic structure of wild sorghum populations indicated that gene flow is not restricted to populations within the same geographic region. A weak regional differentiation was found among populations, reflecting human intervention in shaping wild sorghum genetic structure through seed-mediated gene flow. The sympatric occurrence of wild and cultivated sorghums coupled with extensive seed-mediated gene flow, suggests a potential crop-to-wild gene flow and vice versa across the regions. Wild sorghum displayed a mixed mating system. The wide range of estimated outcrossing rates indicate that some environmental conditions may exist where self-fertilisation is favoured while others cross-pollination is more advantageous

Understanding the food safety and zoonosis risk practices of the beef, sheep and goat Nairobi food systems using value chain analysis

Purpose Beef, sheep and goat food systems are thought to be important sources of pathogens in Nairobi. This study aimed to use value chain (VC) analysis to investigate food safety and zoonotic risk practices of these systems. Methods VC analysis is commonly used to assess market structures yet its potential to investigate food safety and zoonotic risks is unexplored. In a cross-sectional study of people in Nairobi’s beef, sheep and goat food systems (farmers to consumers), data were collected through 75 focus groups and 571 interviews. Data were obtained on movement of people, animals and products (chain mapping), power groups, rules, incentives and enforcement (governance), barriers, distribution of benefits and food safety and zoonoses risk practices. Data were analysed to produce chain profiles and quantify commodity flows and gross margins. Qualitative analysis identified food safety, zoonosis and VC themes. Results Eight chain profiles were identified, with the ‘less integrated terminal markets’ representing three quarters of the city’s ruminant meat supply. Main food safety and zoonotic risk practices related to: water and equipment contamination; poor cold chain; human contact contamination; animal movements; and lack of hygiene. Poor governance enhanced these risks such as: inadequate market business models; enforcement failures; control gaps; and power group pressures. Barriers identified to corrective actions were: lack of infrastructure; limited financial capacity; poor training and services. Furthermore, unequal distribution of benefits in low cost markets provided a negative incentive for the perpetuation of risks. Conclusions This study identified main food safety and zoonoses risk practices, people and VC factors involved in risk-taking activities to help future control programmes in the Nairobi beef, sheep and goat system. Relevance Food safety risks and diseases can be effectively controlled and understood when these are investigated using a food system approach which considers chain governance, barriers and inequalities. The methods used provide a clear guideline and way forward for epidemiologists to investigate these risks using a VC approach

Geographical patterns of phenotypic diversity and structure of Kenyan wild sorghum populations (Sorghum spp.) as an aid to germplasm collection and conservation strategy

Kenya lies within sorghum centre of diversity. However, information on the relative extent of diversity patterns within and among genetically defined groups of distinct ecosystems is lacking. The objective was to assess the structure and phenotypic diversity of wild sorghum populations across a range of geographical and ecological conditions in the country. Sixty-two wild sorghum populations (30 individuals per population) sampled from four distinct sorghum growing regions of Kenya and covering different agroecologies were characterized for ten qualitative traits. Plant height, number of tillers, panicle sizes and flag leaf dimensions were also recorded. Frequencies of the phenotypic classes of each character were calculated. The Shannon diversity index (H') was used to estimate the magnitude of diversity. Principal component analysis was used to differentiate populations within and between regions. Wild sorghum is widely distributed in Kenya, occurring in sympatric ranges with cultivated sorghum, and both have overlapping flowering windows. All characters considered displayed great phenotypic diversity. Pooled over characters within regions, the mean H' ranged between 0.60 and 0.93 in Western and Coast regions, respectively. Wild sorghum was found to show a weak regional differentiation, probably reflecting the importance of seed-mediated gene flow in shaping the wild sorghum population structure. Trait distribution was variable among regions, but there was no conspicuous distribution of the traits studied in any given region. Spontaneous hybridization and introgression of genes from cultivated to wild sorghum seems to be likely, and may already have occurred for a long time, although undocumented. Implications for in situ and ex situ genetic resources conservation are discussed

FIRST EXPERIENCES WITH A NOVEL FARMER CITIZEN SCIENCE APPROACH: CROWDSOURCING PARTICIPATORY VARIETY SELECTION THROUGH ON-FARM TRIADIC COMPARISONS OF TECHNOLOGIES (TRICOT)

SUMMARYRapid climatic and socio-economic changes challenge current agricultural R&D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance. Since the combinations of three technologies overlap, statistical methods can piece together the overall performance ranking of the complete pool of technologies. The tricot approach affords wide scaling, as the distribution of trial packages and instruction sessions is relatively easy to execute, farmers do not need to be organized in collaborative groups, and feedback is easy to collect, even by phone. The tricot approach provides interpretable, meaningful results and was widely accepted by farmers. The methodology underwent improvement in data input formats. A number of methodological issues remain: integrating environmental analysis, capturing gender-specific differences, stimulating farmers' motivation, and supporting implementation with an integrated digital platform. Future studies should apply the tricot approach to a wider range of technologies, quantify its potential contribution to climate adaptation, and embed the approach in appropriate institutions and business models, empowering participants and democratizing science

Local scale patterns of gene flow and genetic diversity in a crop–wild–weedy complex of sorghum (Sorghum bicolor (L.) Moench) under traditional agricultural field conditions in Kenya

Little information is available on the extent and patterns of gene flow and genetic diversity between cultivated sorghum and its wild related taxa under local agricultural conditions in Africa. As well as expanding knowledge on the evolutionary and domestication processes for sorghum, such information also has importance in biosafety, conservation and breeding programmes. Here, we examined the magnitude and dynamics of crop–wild gene flow and genetic variability in a crop–wild–weedy complex of sorghum under traditional farming in Meru South district, Kenya. We genotyped 110 cultivated sorghum, and 373 wild sorghum individuals using a panel of ten polymorphic microsatellite loci. We combined traditional measures of genetic diversity and differentiation with admixture analysis, population assignment, and analyses of spatial genetic structure to assess the extent and patterns of gene flow and diversity between cultivated and wild sorghum. Our results indicate that gene flow is asymmetric with higher rates from crop to wild forms than vice versa. Surprisingly, our data suggests that the two congeners have retained substantial genetic distinctness in the face of gene flow. Nevertheless, we found no significant differences in genetic diversity measures between them. Our study also did not find evidence of isolation by distance in cultivated or wild sorghum, which suggests that gene dispersal in the two conspecifics is not limited by geographic distance. Overall our study highlights likely escape and dispersal of transgenes within the sorghum crop–wild–weedy complex if genetically engineered varieties were to be introduced in Africa’s traditional farming system