66 research outputs found

    Quality of Honey Harvested and Processed Using Traditional Methods in Rural Areas of Kenya

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    The honey consumed in most of Africa is harvested from traditional hives and processed using traditional methods. This work presents the quality characteristics of honey samples (n = 72) processed using traditional methods and on sale in various important beekeeping zones in Kenya: West Pokot, Baringo, Mwingi, Tana, North Kinangop, Mbeere, Nandi Hills, Mida Creek, Kakamega and Taita. The quality of the honey was compared to international standards as proposed in the Codex Alimentarius. The quality markers analyzed were moisture, hydromethylfurfural (HMF), sugar content, diastase, proline content, and free acidity. Moisture was determined using a honey refractometer, HMF and Diastase content were determined through spectrophotometry, sugars were determined by High Performance Liquid Chromatography (HPLC), proline was determined through spectrophotometry and free acidity quantified by volumetry - titration technique. Average constituent values were at 16.00 - 21.20% (moisture); 3.70 - 389.36 mg/kg (HMF); 20.83 - 300.6 mg/kg (proline); 8.03 - 56.98 Schade units (diastase); 57.03 - 102.66% (fructose and glucose levels) and 18.00 - 71.85 50 mg/kg (free acidity). Most of the samples had constituent levels within the limits set in the Codex Alimentarius. Traditional honey harvesting and processing methods seem not to have negative effects on the major honey constituents. However, excessive smoking during harvesting had compromised the aroma and flavour of some samples. In an effort to promote beekeeping as an eco-friendly, sustainable alternate source of livelihoods, training in best apiculture practices, improved extension services and establishment of honey marketplaces is being done to improve honey quality in Kenya

    Genetic Improvement of African Maize towards Drought Tolerance: A Review

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    Africa supports a population of over 1 billion people with over half of them depending on maize for food and feed either directly or indirectly.  Maize in Africa is affected by many stresses, both biotic and abiotic which significantly reduce yields and eventually lead to poor production.  Due to the high demand for maize in the region, different improvement strategies have been employed in an effort to improve production.  These include conventional breeding, molecular breeding, high throughput phenotyping techniques and remote sensing-based techniques.  Conventional breeding techniques such as open pollination have been used to develop drought avoiding maize varieties like the Kito open pollinated variety (OPV) of Tanzania and Guto OPV of Ethiopia.  A combination of conventional breeding and molecular biology techniques has led to improved breeding strategies like the Marker Assisted Back Crossing (MABC) and Marker Assisted Recurrent Selection (MARS).  These techniques have been used to improve drought tolerance in existing inbred maize lines like the CML 247 and CML 176.  Through genetic engineering, different genes including C4-PEPC, NPK1, betA, ZmNF-YB2, cspB, ZmPLC1 and TsVP have been cloned in maize.  Transgenic maize crops expressing these genes have shown increased tolerance to drought stress.  Although there is substantial progress towards developing drought tolerant maize, many African farmers are yet to benefit from this technology.  This is due to lack of an enabling policy framework as well as a limited financial investment in biotechnology research. Keywords: Maize, Drought tolerance, Genetic engineering; Biotechnology; Transgenic crop

    Genetic Transformation of Sweet Potato for Improved Tolerance to Stress: A Review

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    The sweet potato (Ipomoea batatas Lam) is a major staple food in many parts of the world. Sweet potato leaves and tubers are consumed as food and livestock feed. Biotic and abiotic stresses affect yield leading to a reduction in production. This review analyzes factors limiting sweet potato production and the progress made towards stress tolerance using genetic transformation. Genetic transformation could enhance yield, nutritional value and tolerance to stress. Transgenic sweet potatoes tolerant to biotic and abiotic stress, improved nutritional value and higher yields have been developed. Sweet potato expressing the endotoxin cry8Db, cry7A1 and cry3Ca genes showed lower sweet potato weevil infestation than non-transformed lines. Transgenic cultivar ‘Xushu18’ expressing the oryzacystatin-1 (OC1) gene showed enhanced resistance to sweet potato stem nematodes. Sweet potato line ‘Chikei 682-11’ expressing the coat protein (CP) exhibited resistance to the sweet potato feathery mottle virus (SPFMV). Transgenics expressing the rice cysteine inhibitor gene oryzacystatin-1 (OC1) also exhibited resistance to the SPFMV. Transgenic cultivar ‘Kokei’ expressing the spermidine synthetase gene FSPD1 had higher levels of spermine in the leaves and roots, and displayed enhanced tolerance to drought and salt stress. ‘Shangshu’ variety expressing the IbMas has shown enhanced tolerance to salt stress. Transgenic ‘Lixixiang’ expressing IbMIPSI showed an up-regulation of metabolites involved in stress response to drought, salinity and nematode infestation. Transgenic ‘Yulmi’ sweet potato transformed with copper/zinc superoxide dismutase (CuZnSOD) gene showed an enhanced tolerance to methyl viologen induced oxidative and chilling stress. Similarly, transformation of cultivar ‘Sushu-2’ with betaine aldehyde dehydrogenase (BADH) gene resulted in transgenics tolerant to salt, chilling and oxidative stress. Sweet potato varieties ‘Kokei14’ and ‘Yulmi’ transformed with the bar gene were shown to be tolerant to application of the herbicide Basta. The development of stress tolerant varieties will immensely increase the area under sweet potato production and eventually promote the adoption of sweet potato as a commercial crop. Sweet potato research and breeding for stress tolerance still faces technical and socio-political hurdles. Despite these challenges, genetic transformation remains a viable method with immense potential for the improvement of sweet potato. Key words: Sweet Potato (Ipomoea batatas Lam), Stress, Genetic Transformation, Transgeni

    Potential of Mangrove Ecosystem for Silvofishery Development in Kutai National Park, East Kalimantan

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    Silvofishery is one of effort of area exploiting with conservation principle. This research to predict potency of mangrove ecosystem which can support to silvofishery development inside conservation area. This study aims to examine the mangrove ecosystems potential for silvofishery, by knowing the vegetation structure, density and diversity of plankton, nekton, dissolved oxygen, temperature, salinity and mud thickness. The research was conducted in Teluk Lombok, Teluk Kaba and Muara Teluk Pandan. The method used is multiple plot method with random purposive sampling system. The results showed that the mangrove vegetation density in Teluk Lombok was 3.116.7 plants ha-1, Teluk Kaba 2,966.7 plants ha-1 and Muara Teluk Pandan 2,416.7 plants ha-1. Nekton density in the Teluk Lombok is 5.38 individual m-2, Teluk Kaba 8.21 individual m-2 and Muara Teluk Pandan 7.13 individual m-2. There are 40 species of plankton in Teluk Lombok with density 4.565,3 individual per liter, in Muara Teluk Pandan 21 species of plankton density 2,946,5 individual per liter, then Teluk Kaba 24 species of plankton and density 3,029,5 individual per liter. For all three locations there are four parameters that do not support for silvofishery, namely are density of plankton, dissolved oxygen, pH and salinity. Then there are four parameters supporting for silvofishery, ie vegetation density, nekton density, temperature, and mud thickness

    Fodder Crop Adoption through Push-Pull Technology (PPT) for Fall Armyworm (FAW) Control in Cereals Cropping Systems

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    There is an urgent need to increase grain yields and animal products due to increasing human population in Africa. Push-pull technology (PPT) is a conservation agriculture intercrop technology which protects and enhances natural resources productivity and ecosystem services in mixed farming systems. The technology involves growing of a cereal crop with a repellent intercrop, Desmodium genus (silverleaf, D. uncinatum and greenleaf, D. intortum) with grass such as Pennisetum purpureum or Brachiaria spp. planted as a border around the cereal-legume intercrop. The plants accompanying the cereal crop are typically valuable high quality fodder thus integrating crop-livestock production. The PPT was initially developed in the high altitude areas which were mainly suitable for optimal growth of Desmodium sp. In contrast, Clitoria ternatea (Blue pea) is the recommended herbaceous forage legume crop for the low altitude areas. In addition, clitoria and dolichos demonstrated their ability to effectively repel stem-borer pests in push pull technology systems within the coastal lowlands. The experiments were established in four sites representing diverse coastal lowlands (CL) agro-ecological zones (CL3, CL4, and CL5). The species used in the system were: maize (cereal crop, the main target by Spodoptera pests); climate-smart brachiaria grass (as a pull crop) and blue pea (as a push crop). It was demonstrated that the push-pull technology can also control FAW and that this system be promoted for provision of high quality fodder for livestock in smallholder mixed farms

    Uncertainty quantification in electromagnetic observables of nuclei

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    We present strategies to quantify theoretical uncertainties in modern ab initio calculations of electromagnetic observables in light and medium-mass nuclei. We discuss how uncertainties build up from various sources, such as the approximations introduced by the few- or many-body solver and the truncation of the chiral effective field theory expansion. We review the recent progress encompassing a broad range of electromagnetic observables in stable and unstable nuclei

    In vitro and in vivo antileishmanial efficacy of a combination therapy of diminazene and artesunate against Leishmania donovani in BALB /c mice

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    The in vitro and in vivo activity of diminazene (Dim), artesunate (Art) and combination of Dim and Art (Dim-Art) against Leishmania donovani was compared to reference drug; amphotericin B. IC50 of Dim-Art was found to be 2.28±0.24μ2.28 \pm 0.24 \mu g/mL while those of Dim and Art were 9.16±0.3μ9.16 \pm 0.3 \mu g/mL and 4.64±0.48μ4.64 \pm 0.48 \mu g/mL respectively. The IC50 for Amphot B was 0.16±0.32μ0.16 \pm 0.32 \mu g/mL against stationary-phase promastigotes. In vivo evaluation in the L. donovani BALB/c mice model indicated that treatments with the combined drug therapy at doses of 12.5 mg/kg for 28 consecutive days significantly (p<0.001p < 0.001) reduced parasite burden in the spleen as compared to the single drug treatments given at the same dosages. Although parasite burden was slightly lower (p<0.05p < 0.05) in the Amphot B group than in the Dim-Art treatment group, the present study demonstrates the positive advantage and the potential use of the combined therapy of Dim-Art over the constituent drugs, Dim or Art when used alone. Further evaluation is recommended to determine the most efficacious combination ratio of the two compounds.Comment: 4 Pages, 3 Figure

    Smallholder Farmers’ Perspectives on Climatic Variability and Adaptation Strategies in East Africa: The Case of Mount Kilimanjaro in Tanzania, Taita and Machakos Hills in Kenya

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    Climate change is expected to have serious economic and social impacts in East Africa, particularly on rural farmers whose livelihoods largely depend on rain-fed agriculture, hence adaptation is required to offset projected drawbacks of climate change on crop productivity. This paper examines farmers' perceptions and understanding of climatic variability, coping strategies adopted and factors that influence the choice of a particular adaptation. The study uses cross section data collected from 510 farmers in three mountain gradients sites, namely; Mount Kilimanjaro of Tanzania, Taita and Machakos Hills of Kenya. Farmers’ perceptions were compared to actual trend in meteorological records over the last thirty years (1981-2010). The result revealed that farmers in East Africa were partly aware of climate variability, mainly in temperature and rainfall patterns. Many respondents reported that conditions are drier and rainfall timing is becoming less predictable. The perception of farmers on temperature and rainfall were in line with recorded meteorological data, but contrary with that of recorded rainfall in Machakos which was perceived to be decreasing by the farmers. Farmers perceived changes in rainfall and temperature to have negative effects on the production and management of crops. The common adaptation strategies used by farmers include water harvesting, soil conservation techniques and shifting of planting periods. The most important variables affecting farmers choices in regards to adaptation option were, lack of access to credit, farming experience and household size. As a conclusion, there is a need for these factors to be taken into account in the development and implementation of smallholder farmers’ adaptation strategies to climate variability in East Africa. Additionally, dedicated capacity building and extensive outreach initiatives on adaptation through governments, researchers, policy-makers and the farmers groups themselves are needed to achieve large scale success

    Global epidemiology of podoconiosis: a systematic review

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    Background Podoconiosis is one of the few diseases that could potentially be eliminated within one generation. Nonetheless, the global distribution of the disease remains largely unknown. The global atlas of podoconiosis was conceived to define the epidemiology and distribution of podoconiosis through dedicated surveys and assembling the available epidemiological data. Methods We have synthesized the published literature on the epidemiology of podoconiosis. Through systematic searches in SCOPUS and MEDLINE from inception to February 14, 2018, we identified observational and population-based studies reporting podoconiosis. To establish existence of podoconiosis, we used case reports and presence data. For a study to be included in the prevalence synthesis, it needed to be a population-based survey that involved all residents within a specific area. Studies that did not report original data were excluded. We undertook descriptive analyses of the extracted data. This study is registered with PROSPERO, number CRD42018084959. Results We identified 3,260 records, of which 27 studies met the inclusion criteria. Podoconiosis was described to exist or be endemic in 32 countries, 18 from the African Region, 3 from Asia and 11 from Latin America. Overall, podoconiosis prevalence ranged from 0·10% to 8.08%, was highest in the African region, and was substantially higher in adults than in children and adolescents. The highest reported prevalence values were in Africa (8.08% in Cameroon, 7.45% in Ethiopia, 4.52% in Uganda, 3.87% in Kenya and 2.51% in Tanzania). In India, a single prevalence of 0.21% was recorded from Manipur, Mizoram and Rajasthan states. None of the Latin American countries reported prevalence data. Conclusion Our data suggest that podoconiosis is more widespread in the African Region than in the rest of the regions, although this could be related to the fact that most podoconiosis epidemiological research has been focused in the African continent. The assembled dataset confirms that comprehensive podoconiosis control strategies such as promotion of footwear and personal hygiene are urgently needed in endemic parts of Africa. Mapping, active surveillance and a systematic approach to the monitoring of disease burden must accompany the implementation of podoconiosis control activities

    Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

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    Background Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. Findings In 2021, there were 529 million (95% uncertainty interval [UI] 500–564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8–6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7–9·9]) and, at the regional level, in Oceania (12·3% [11·5–13·0]). Nationally, Qatar had the world’s highest age-specific prevalence of diabetes, at 76·1% (73·1–79·5) in individuals aged 75–79 years. Total diabetes prevalence—especially among older adults—primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1–96·8) of diabetes cases and 95·4% (94·9–95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5–71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5–30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22–1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1–17·6) in north Africa and the Middle East and 11·3% (10·8–11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%.Peer ReviewedPostprint (published version
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