43 research outputs found
Assessing the potential economic impact of Bacillus thuringiensis (Bt) maize in Kenya
The Insect Resistant Maize for Africa (IRMA) project is currently developing Bt maize for Kenya. So far, Bt genes with resistance to Chilo partellus, Chilo orichalcociliellus, Eldana sacharina, and Sesamia calamistis, four of the five major stemborers were successfully incorporated into elite CIMMYT maize inbred line (CML216) and tested in insect bioassays in Kenya. Participatory Rural Appraisals showed that stem borers are indeed major pest problems for farmers. Four seasons of on-farm crop loss assessment showed an average crop loss of 13.5%, or 0.4 million tons, valued at US 208 million over 25 years (66% of which is consumer surplus) as compared to a cost of $5.7 million. Geographically, the project should focus on the high production moist-transitional zone. However, if such gene cannot be found, Bt maize technology would only be effective in the low potential areas, and adoption rates would be fairly low, although benefits would still exceed costs.Key words: Maize, genetically modified crops, Bacillus thuringiensis, adoption, economic impact
Evaluation of Malaria Infection In Relation to Age and Residential Area in Nandi County, Kenya
Objective: To investigate malaria infection in relation to age and residential area.Design: A cross sectional study.Setting: Kipsamoite Dispensary of Nandi County in Kenya.Subjects: The demographic details and medical history for all consenting patients was taken by the clinical officer/nurse.Intervention: Clinical examination was done followed by presumptive diagnosis for clinical malaria.Main outcomes: A total of 349 patients were examined and tested for malaria during the period under study.Results: Whereas infection distribution was significantly associated with age groups P<0.05 (χ2 = 4.190); no significant difference in mean parasite density distribution over the seven residential area categories (P = 0.261) (F = 1.305) was found.Conclusion: Patients aged > 5 years were found to be infected more than those aged <5 years. On overall, there is a need to start targeting patients above five years of age and encourage them to access malaria control interventions especially the use of insecticide treated bed nets to minimise their infection rate
Agronomic performance of locally adapted sweet potato (Ipomoea batatas (L) Lam.) cultivars derived from tissue culture regenerated plants
Tissue culture techniques have opened a new frontier in agricultural science by addressing food security and agricultural production issues. A study was conducted to compare growth and yield characteristics between the tissue culture regenerated and conventionally propagated sweet potato cultivars. Five locally adapted sweet potato cultivars Mugande, SPK004, Kemb10, Japon tresmesino and Zapallo were regenerated in vitro by the methods of indirect and direct embryogenesis and grown under field conditions in a RCBD replicated three times. Significant (
Genetic diversity and population structure of Glossina pallidipes in Uganda and western Kenya
<p>Abstract</p> <p>Background</p> <p><it>Glossina pallidipes </it>has been implicated in the spread of sleeping sickness from southeastern Uganda into Kenya. Recent studies indicated resurgence of <it>G. pallidipes </it>in Lambwe Valley and southeastern Uganda after what were deemed to be effective control efforts. It is unknown whether the <it>G. pallidipes </it>belt in southeastern Uganda extends into western Kenya. We investigated the genetic diversity and population structure of <it>G. pallidipes </it>in Uganda and western Kenya.</p> <p>Results</p> <p>AMOVA indicated that differences among sampling sites explained a significant proportion of the genetic variation. Principal component analysis and Bayesian assignment of microsatellite genotypes identified three distinct clusters: western Uganda, southeastern Uganda/Lambwe Valley, and Nguruman in central-southern Kenya. Analyses of mtDNA confirmed the results of microsatellite analysis, except in western Uganda, where Kabunkanga and Murchison Falls populations exhibited haplotypes that differed despite homogeneous microsatellite signatures. To better understand possible causes of the contrast between mitochondrial and nuclear markers we tested for sex-biased dispersal. Mean pairwise relatedness was significantly higher in females than in males within populations, while mean genetic distance was lower and relatedness higher in males than females in between-population comparisons. Two populations sampled on the Kenya/Uganda border, exhibited the lowest levels of genetic diversity. Microsatellite alleles and mtDNA haplotypes in these two populations were a subset of those found in neighboring Lambwe Valley, suggesting that Lambwe was the source population for flies in southeastern Uganda. The relatively high genetic diversity of <it>G. pallidipes </it>in Lambwe Valley suggest large relict populations remained even after repeated control efforts.</p> <p>Conclusion</p> <p>Our research demonstrated that <it>G. pallidipes </it>populations in Kenya and Uganda do not form a contiguous tsetse belt. While Lambwe Valley appears to be a source population for flies colonizing southeastern Uganda, this dispersal does not extend to western Uganda. The complicated phylogeography of <it>G. pallidipes </it>warrants further efforts to distinguish the role of historical and modern gene flow and possible sex-biased dispersal in structuring populations.</p
Gendered perceptions of biosecurity and the gender division of labor in pig farming in Uganda
MultiTest V.1.2, a program to binomially combine independent tests and performance comparison with other related methods on proportional data
<p>Abstract</p> <p>Background</p> <p>Combining multiple independent tests, when all test the same hypothesis and in the same direction, has been the subject of several approaches. Besides the inappropriate (in this case) Bonferroni procedure, the Fisher's method has been widely used, in particular in population genetics. This last method has nevertheless been challenged by the SGM (symmetry around the geometric mean) and Stouffer's <it>Z</it>-transformed methods that are less sensitive to asymmetry and deviations from uniformity of the distribution of the partial <it>P</it>-values. Performances of these different procedures were never compared on proportional data such as those currently used in population genetics.</p> <p>Results</p> <p>We present new software that implements a more recent method, the generalised binomial procedure, which tests for the deviation of the observed proportion of <it>P</it>-values lying under a chosen threshold from the expected proportion of such <it>P</it>-values under the null hypothesis. The respective performances of all available procedures were evaluated using simulated data under the null hypothesis with standard <it>P</it>-values distribution (differentiation tests). All procedures more or less behaved consistently with ~5% significant tests at <it>α </it>= 0.05. Then, linkage disequilibrium tests with increasing signal strength (rate of clonal reproduction), known to generate highly non-standard <it>P</it>-value distributions are undertaken and finally real population genetics data are analysed. In these cases, all procedures appear, more or less equally, very conservative, though SGM seems slightly more conservative.</p> <p>Conclusion</p> <p>Based on our results and those discussed in the literature we conclude that the generalised binomial and Stouffer's <it>Z </it>procedures should be preferred and <it>Z </it>when the number of tests is very small. The more conservative SGM might still be appropriate for meta-analyses when a strong publication bias in favour of significant results is expected to inflate type 2 error.</p
An update of malaria infection and anaemia in adults in Buea, Cameroon
<p>Abstract</p> <p>Background</p> <p>Anaemia is caused by many factors in developing countries including malaria. We compared anaemia rates in patients with malaria parasitaemia to that of patients without malaria parasitaemia.</p> <p>Findings</p> <p>A cross-sectional study was carried out from November 2007 to July 2008 in health units in Buea, Cameroon. Adult patients with fever or history of fever were included in the study. Information on socio-demographic variables and other variables was collected using a questionnaire. Malaria parasitaemia status was determined by microscopy using Giemsa stained thick blood smears. Haemoglobin levels were determined by the microhaematocrit technique.</p> <p>The study population consisted of 250 adult patients with a mean age of 29.31 years (SD = 10.63) and 59.44% were females. 25.60% of the patients had malaria parasitaemia while 14.80% had anaemia (haemoglobin < 11 g/dl). Logistic regression revealed that those with malaria parasitaemia had more anaemia compared to those without malaria parasitaemia(OR = 4.33, 95%CI = 1.21-15.43, p = 0.02) after adjusting for age, sex, rural residence, socioeconomic status, use of antimalarials, use of insecticide treated nets(ITN) and white blood cell count.</p> <p>Conclusions</p> <p>In adult patients with fever in this setting, malaria parasitaemia contributes to anaemia and is of public health impact. Our results also provide a baseline prevalence for malaria parasitaemia in febrile adults in health units in this setting.</p
Tracking the Feeding Patterns of Tsetse Flies (Glossina Genus) by Analysis of Bloodmeals Using Mitochondrial Cytochromes Genes
Tsetse flies are notoriously difficult to observe in nature, particularly when populations densities are low. It is therefore difficult to observe them on their hosts in nature; hence their vertebrate species can very often only be determined indirectly by analysis of their gut contents. This knowledge is a critical component of the information on which control tactics can be developed. The objective of this study was to determine the sources of tsetse bloodmeals, hence investigate their feeding preferences. We used mitochondrial cytochrome c oxidase 1 (COI) and cytochrome b (cytb) gene sequences for identification of tsetse fly blood meals, in order to provide a foundation for rational decisions to guide control of trypanosomiasis, and their vectors. Glossina swynnertoni were sampled from Serengeti (Tanzania) and G. pallidipes from Kenya (Nguruman and Busia), and Uganda. Sequences were used to query public databases, and the percentage identities obtained used to identify hosts. An initial assay showed that the feeds were from single sources. Hosts identified from blood fed flies collected in Serengeti ecosystem, included buffaloes (25/40), giraffes (8/40), warthogs (3/40), elephants (3/40) and one spotted hyena. In Nguruman, where G. pallidipes flies were analyzed, the feeds were from elephants (6/13) and warthogs (5/13), while buffaloes and baboons accounted for one bloodmeal each. Only cattle blood was detected in flies caught in Busia and Uganda. Out of four flies tested in Mbita Point, Suba District in western Kenya, one had fed on cattle, the other three on the Nile monitor lizard. These results demonstrate that cattle will form an integral part of a control strategy for trypanosomiasis in Busia and Uganda, while different approaches are required for Serengeti and Nguruman ecosystems, where wildlife abound and are the major component of the tsetse fly food source
Patterns of genetic diversity and differentiation in the tsetse fly Glossina morsitans morsitans Westwood populations in East and southern Africa
Genetic diversity and differentiation within and among nine G. morsitans morsitanspopulations from East and southern Africa was assessed by examining variation at seven microsatellite loci and a mitochondrial locus, cytochrome oxidase (COI). Mean COI diversity within populations was 0.63 ± 0.33 and 0.81 taken over all populations. Diversities averaged over microsatellite loci were high (mean number of alleles/locus ≥7.4; mean H E ≥ 65%) in all populations. Diversities averaged across populations were greater in East Africa (mean number of alleles = 22 ± 2.6; mean h e = 0.773 ± 0.033) than in southern Africa (mean number of alleles = 18.7 ± 4.0; mean h e = 0.713 ± 0.072). Differentiation among all populations was highly significant (R ST = 0.25, F ST = 0.132). Nei’s G ij statistics were 0.09 and 0.19 within regions for microsatellites and mitochondria, respectively; between regions, G ij was 0.14 for microsatellites and 0.23 for mitochondria. G ST among populations was 0.23 for microsatellite loci and 0.40 for mitochondria. The F, G and R statistics indicate highly restricted gene flow among G. m. morsitans populations separated over geographic scales of 12–917 km
Genetic analysis of scattered populations of the Indian eri silkworm, Samia cynthia ricini Donovan: Differentiation of subpopulations
Deforestation and exploitation has led to the fragmentation of habitats and scattering of populations of the economically important eri silkworm, Samia cynthia ricini, in north-east India. Genetic analysis of 15 eri populations, using ISSR markers, showed 98% inter-population, and 23% to 58% intra-population polymorphism. Nei’s genetic distance between populations increased significantly with altitude (R2 = 0.71) and geographic distance (R2 = 0.78). On the dendrogram, the lower and upper Assam populations were clustered separately, with intermediate grouping of those from Barpathar and Chuchuyimlang, consistent with geographical distribution. The Nei’s gene diversity index was 0.350 in total populations and 0.121 in subpopulations. The genetic differentiation estimate (Gst) was 0.276 among scattered populations. Neutrality tests showed deviation of 118 loci from Hardy-Weinberg equilibrium. The number of loci that deviated from neutrality increased with altitude (R2 = 0.63). Test of linkage disequilibrium showed greater contribution of variance among eri subpopulations to total variance. D’2IS exceeded D’2ST, showed significant contribution of random genetic drift to the increase in variance of disequilibrium in subpopulations. In the Lakhimpur population, the peripheral part was separated from the core by a genetic distance of 0.260. Patchy habitats promoted low genetic variability, high linkage disequilibrium and colonization by new subpopulations. Increased gene flow and habitat-area expansion are required to maintain higher genetic variability and conservation of the original S. c. ricini gene pool