6 research outputs found

    Effets du remplacement de la farine de poisson par les termites (Macrotermes Sp.) sur l’evolution ponderale et les caracteristiques de carcasse de la volaille locale au Burkina Faso

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    The high cost and the accessibility of animal protein sources is a major issue in poultry farming in Burkina Faso. The present study aimed to assess the suitability of two termite species as feed for traditional chicken (Gallus domesticus) and guinea fowl (Numida meleagris), comparatively to commercial fishmeal available in this country. The study was carried out during eight weeks in Burkina Faso on ninety chickens and ninety guinea fowls, sixteen weeks old. Two termite species (dry Macrotermes subhyalinus and fresh Macrotermes bellicosus) and commercial fishmeal for poultry feed formulation that is available in the country were used as animal protein ingredients in three feeding management regimes. The birds were allocated to the three feeding treatments, with two replicates per treatment: i) treatment 1 (R1) with a diet including 2.5% of dried termites; ii) treatment 2 (R2) diet with no animal protein ingredient included, but with fresh termites given separately and the amount was depending on the daily capture; iii) treatment 3 (R3) diet including 2.5% of fishmeal. The results showed an average daily feed consumption of 65.5 g per bird. Average daily gain (ADG) for chickens was 7.7 g, 7.8 g and 7.5 g for treatment R1, R2 and R3, respectively. ADG for guinea fowl was 5.64g, 5.34 g and 5.35 g for R1, R2 and R3, respectively. Carcass characteristics studied on male guinea fowl showed a mean carcass percentage of 66.4%. Data on the taste and tenderness showed that R1 and R2 gave a better taste to guinea fowl meat, while R3 and R2 gave more tender meat. Average dry matter contents of the thighs were 42.4%, 41.8% and 40.6% for the groups R1, R2 and R3, respectively. No significant difference (p>0.05) was observed between treatments for all the parameters. Thus, dry and fresh Macrotermes spp. can be suitable animal protein ingredients that can substitute fishmeal in traditional chickens and guinea fowl feeding in rural area.Keywords: termites, fishmeal, feeding, local poultry, live weight performances, Burkina Fas

    Development and validation of a model to estimate postharvest losses during transport of tomatoes in West Africa

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    In an effort to better understand postharvest losses associated with low-cost tomato transport in West Africa we present a spatial–temporal simulation model that links the prevailing outside weather conditions, estimated using satellite meteorology, to the microclimate observed inside truck trailers (cryptoclimate) to determine the deterioration in tomato quality during transport. Tomatoes from Burkina Faso are transported under sub-optimal circumstances to important Ghanaian markets; during a number of these transports conditions for the tomato cargo inside trucks were measured while conditions outside the trucks were monitored by means of weather satellites. The presented tomato quality model analytically combines cryptoclimate, duration since harvest, and kinetic modelling to arrive at estimated firmness. Firmness of tomatoes in transport was monitored with a portable penetrometer in selected trucks, augmented with additional (acoustic firmness) data collected in a climate chamber. Half of these observations were used to calibrate a firmness loss model and the other half to validate the simulation results. Our results indicate that outside weather during transport can be reasonably well estimated using satellite meteorology. The model performance for the estimation of outside global radiation (Rg) and land-surface temperature (LST) were found to be satisfactory, with a RMSE = 87.98 W m-2; bias = 57.39 W m-2 and RMSE = 2.95 °C; bias = 0.91 °C, respectively. Results for the cryptoclimate estimation (conditions inside the trucks) for temperature, relative humidity, and light intensity were as follows: R2 = 0.77, RMSE = 4.18 °C (Tincargo); R2 = 0.84, RMSE = 19.59% (RHincargo); and R2 = 0.9, RMSE = 137.31 lx (LIincargo). The postharvest loss model that relies on these estimates as its input explained on average 77% of the variance in observed tomatoes firmness, with total product losses ranging from 30% to 50% when integrated over the entire transportation period. With the accuracy of the model quantified and the causality of losses partially demonstrated, we argue that the simulation model can be useful as an economic resistor in transport optimization studies to investigate the cost–benefit of various measures to reduce postharvest losses. Such studies could help to illustrate what net gains can be expected if delays along the transportation route are reduced, cargo conditions are semi-controlled (e.g. pre-cooling treatment), or if a different transport schedule is adopted. The model may also be used to show the impact of different climate change scenarios on postharvest losses

    Genomic epidemiology of artemisinin resistant malaria

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    The current epidemic of artemisinin resistant Plasmodium falciparum in Southeast Asia is the result of a soft selective sweep involving at least 20 independent kelch13 mutations. In a large global survey, we find that kelch13 mutations which cause resistance in Southeast Asia are present at low frequency in Africa. We show that African kelch13 mutations have originated locally, and that kelch13 shows a normal variation pattern relative to other genes in Africa, whereas in Southeast Asia there is a great excess of non-synonymous mutations, many of which cause radical amino-acid changes. Thus, kelch13 is not currently undergoing strong selection in Africa, despite a deep reservoir of variations that could potentially allow resistance to emerge rapidly. The practical implications are that public health surveillance for artemisinin resistance should not rely on kelch13 data alone, and interventions to prevent resistance must account for local evolutionary conditions, shown by genomic epidemiology to differ greatly between geographical regions

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

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    The past 2 years, during which waves of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants swept the globe, have starkly highlighted health disparities across nations. Tegally et al. show how the coordinated efforts of talented African scientists have in a short time made great contributions to pandemic surveillance and data gathering. Their efforts and initiatives have provided early warning that has likely benefited wealthier countries more than their own. Genomic surveillance identified the emergence of the highly transmissible Beta and Omicron variants and now the appearance of Omicron sublineages in Africa. However, it is imperative that technology transfer for diagnostics and vaccines, as well the logistic wherewithal to produce and deploy them, match the data-gathering effort
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