Publications récentes
Article
DIVERSITY IN PHENOTYPIC TRAITS OF PEARL MILLET LANDRACES CONSERVED AT ICRISAT-NIGER AND BURKINA FASO GENEBANKS
L.A. BOUGMA, A. OUOBA, C. ZERBO, M.H. OUÉDRAOGO, N. SAWADOGO and M. SAWADOGOPearl millet (Pennisetum glaucum (L.) R. Br.) is an important crop for populations in arid and semi-arid areas of Africa and India. In Burkina Faso, pearl millet is one of main cereal crops, well known for climate resilient features and nutritional transcendency. However, most cultivated genotypes are landraces, whose productivity is still low. The objective of this study was to characterise the diversity of landraces for morphological traits under field conditions in Burkina Faso. Seventy-two accessions from Burkina Faso (24), India (24) and Togo (24) were evaluated in 2021 and repeated in 2022 at the Gampela station in Burkina Faso. The results revealed a diversity of accessions on grain and collar colours. This variability exists between the accessions on grain shape, ears pubescence and stay green. There is a marked difference between landraces from India landraces, compared to those...
Article
Effect of Tree Densities on Soil Physical Properties in Agroforestry Parkland Systems Dominated by Shea Trees in Burkina Faso
Ouédraogo Sotongo Abraham, Bazié Hugues Roméo, Koala Jonas, Traoré AlassaneAims: The overall objective of this study was to assess the effect of different densities of tree dominated by V. paradoxa and dendrometric parameters on the selected soil physical properties.
Study Design: This study was conducted in the municipality of Sapone (12.03´N, 1.43´W) located 30 km south of Ouagadougou, Burkina Faso.
Place and Duration of Study: The experimental design was made of 20 plots randomly. The studied factor was the tree density (D) in each of our plots, with 5 tree density levels being designed. The first density class (D1) was 0 trees/ha, i.e. 0 tree in the plot, the second was 16 trees/ha, i.e. 4 trees in the plot (D2), the third was 28 trees/ha, i.e. 7 trees in the plot (D3), the fourth was 36 trees/ha i.e. 9 trees in the plot (D4), and finally the fifth was 48 trees/ha i.e. 12 trees in the plot (D5). Each density class is repeated four times. In each plot, 9...
Article
Unraveling the intra-species genomic diversity of sweetpotato-infecting CRESS-DNA and RNA viruses in Burkina Faso using Oxford Nanopore sequencing
Name Pakyendou E. , Tibiri Ezechiel B. , Tiendrébéogo Fidèle , Sawadogo Seydou , Djigma Florencia , Traoré Lassina , Eni Angela O. , Pita Justin S.Sweetpotato is a key crop for global food security, particularly in Burkina Faso, where its productivity is increasingly threatened by viral diseases, especially those caused by CRESS-DNA viruses. However, the diversity of these viruses in Burkina Faso remains poorly characterized due to limitations of conventional diagnostic approaches. In this study, nanopore sequencing was used to investigate the diversity of CRESS-DNA viruses infecting sweetpotato in Burkina Faso. Ninety-eight symptomatic dried leaf samples from a previously established biobank were selected and analyzed. Total DNA was extracted, enriched using rolling circle amplification (RCA), and sequenced using the MinION Mk1C platform. In parallel, RNA viruses were also investigated using nanopore sequencing. RCA successfully amplified 53 of the 98 samples, from which 28 complete and 25 partial CRESS-DNA virus genomes were reco...
Article
A Survey on Deep Learning Techniques for Malaria Detection: Datasets Architectures and Future Perspectives
Desire Guel, Kiswendsida Kisito Kabore, Flavien Herve SomdaMalaria remains a significant global health challenge that affects more than 200 million people each year and disproportionately burdens regions with limited resources. Precise and timely diagnosis is critical for effective treatment and control. Traditional diagnostic approaches, including microscopy and rapid diagnostic tests (RDTs), encounter significant limitations such as reliance on skilled personnel, high costs and slow processing times. Advances in deep learning (DL) have demonstrated remarkable potential. They achieve diagnostic accuracies of up to 97% in automated malaria detection by employing convolutional neural networks (CNNs) and similar architectures to analyze blood smear images. This survey comprehensively reviews deep learning approaches for malaria detection and focuses on datasets, architectures and performance metrics. Publicly available datasets, such as the NIH an...
Article
Diversity and Distribution of Ecto and Gastrointestinal Parasites in Domestic Rabbits from the Grand-Ouaga, Burkina Faso
MANO, Komandan, Paténéma SAWADOGO, Yamba SINARE, Patricia SOUBEIGA, Rimwaodo Pierre SILGA, Magloire BOUNGOU, and Awa GNEMEIn Burkina Faso, livelihoods rely strongly on the primary sector such as livestock farming. Owing to their high reproductive potential, rapid growth, and relatively low production costs, rabbit farming appeared increasingly as a sustainable source of income and animal protein. However, rabbits are frequently affected by parasitic infections, which can impede their productivity. In Burkina Faso, data on the parasite fauna associated with rabbit remains scarce. The present study aimed to assess the diversity of parasites infecting domestic rabbits in Ouagadougou and its surrounding peri-urban areas. From June to October 2025, 30 domestic rabbits were examined for parasite collection. A total of 438 individuals parasites were collected. Two species of gastrointestinal Nematoda (Passalurus ambiguruus, Passalurus sp.) and one species of ectoparasitic Achnida (Rhipicephalus sp.) were identifie...
Article
Participatory selection of Hibiscus sabdariffa L. landraces in Burkina Faso: characteristics of interest and selection criteria for leaves
Clémence Zerbo, Romaric Kiswendsida Nanema, Zakaria Kiebre, Mariam Kiebre, Fanta Reine Sheirita Tietiambou, Hamid El Bilali, Filippo Acasto, Jacques Nanema and Mahamadou SawadogoIntroduction: Hibiscus sabdariffa L. is an economically important and widely adopted crop in Burkina Faso. Yet its production is constrained by the lack of improved, locally adapted varieties. This study used a participatory variety selection approach to identify preferred landraces and selection criteria across two agroecological zones: Sudanian and Sudano-Sahelian.
Methods: The evaluation of landraces/accessions was carried out using an ordinal rating system, assigning scores ranging from 9 (most preferred accession), through 7 (very interesting), 5 (moderately interesting), 3 (less interesting), to 1 (least interesting). Landraces considered undesirable were specifically evaluated using negative scores of −5, −3, and −1, reflecting the degree of rejection expressed by the participants.
Results: Participatory selection involved 126 stakeholders (75.4% women), including producers...
Article
ANALYTICAL APPROXIMATION OF THE TIME-FRACTIONAL BURGERS EQUATION USING THE LAPLACE-SBA METHOD
Bayalla Bazoboué Laurent* , Sawadogo Salomond, Bamogo Hamadou et Francis BassonoThis paper investigates the application of the Laplace-SBA method to a nonlinear Burgers-type equation with a fractional time derivative in the sense of Caputo. Such equations, which incorporate memory effects and nonlocal behavior, are increasingly used to model
Article
Facteurs associés au dépistage des cancers du col de l’utérus et du sein chez les femmes de 15-49 ans au Burkina Faso
Hervé BassingaContexte : Lorsque l’on considère les maladies non transmissibles (MNT), les cancers du col de l’utérus et du sein figurent parmi les principales causes de morbidité et de mortalité féminine au Burkina Faso. Bien que le dépistage précoce constitue une stratégie efficace pour améliorer la survie et la qualité de vie des femmes, les taux de recours y demeurent faibles. Cette étude explore les facteurs associés au dépistage du cancer du col de l’utérus et du sein chez les femmes burkinabè âgées de 15 à 49 ans.Données et méthodes:Cette recherche a combiné une analyse descriptive des taux de dépistage et une régression logistique binaire pour identifier les facteurs influençant le recours au dépistage des deux types de cancer à partir des données de l’enquête démographique et de santé (EDS) réalisée en 2021. L’analyse a porté sur un échantillon de 17659 femmes â...
Article
Fuelling energy poverty? Evidence on the role of deforestation in developing countries
Windbeneti Arnaud Zahonogo, Relwendé SawadogoEnergy poverty remains a critical development challenge in low- and middle-income countries, central to achieving Sustainable Development Goal 7 (SDG7). This study investigates the causal impact of deforestation on energy poverty, focusing on two key dimensions: access to electricity and access to clean cooking fuels. Using a panel of 95 developing countries from 2000 to 2023, we employ robust econometric techniques, including ordinary least squares (OLS), two-stage least squares (2SLS), and smoothed instrumental variable quantile regression (SIVQR), to account for endogeneity and distributional heterogeneity. The results consistently show that deforestation significantly worsens energy poverty, particularly in more deprived contexts, by reducing access to clean fuels and electricity. These findings remain robust across alternative deforestation measures and model specifications. Further...
Article
Weak solutions of a discrete Robin problem involving the anisotropic $\vect{p}$-mean curvature operator
B. Moussa, I. Nyanquini, S. OuaroThis work investigates the existence and uniqueness of a so- lution to a discrete Robin boundary value problem involving the anisotropic p⃗-mean curvature operator. The existence re- sult is established through variational methods, specifically by applying the Mountain Pass Theorem of Ambrosetti and Rabinowitz in combination with Ekeland’s Variational Prin- ciple. Uniqueness is obtained under the assumption of Lips- chitz continuity on the nonlinear term