Search

Abstract Understanding the typology of smallholder maize farmers is crucial to elucidate the diversity in local farming systems, and therefore, devise effective interventions and policies that maximize the impact of agricultural innovations in South-Kivu province, eastern Democratic Republic of Congo (DRC). This study aimed at characterizing maize farmers in South-Kivu province and clustering them based on various socioeconomic and agronomic factors to identify specific production constraints and devise more effective interventions. A household survey among 300 South-Kivu maize farmers allowed to identify four distinct clusters based on farm size, land use, income, and agricultural technology adoption. The clusters ranged from resource-poor smallholder (Types 1 and 2) to medium-resource semi-innovative producers (Type 3) and highly equipped innovative farmers (Type 4). Key discriminative factors included total farm size, maize farm size, farming experience, access to agricultural credit, income, and innovation adoption rate. This study revealed specific constraints for each cluster, including low soil fertility, poor weed management, low market access, and labor scarcity. This study’s findings demonstrate the value of farm typology in guiding targeted interventions to address specific constraints and improve maize productivity, and suggest specific strategic directions for research and development projects in rural areas of the South-Kivu province.

Abstract Soil depletion constitutes a major challenge for agriculture and food security in highlands of eastern Democratic Republic of Congo (DRC). This study aimed to assess the effectiveness of the split-application of nitrogen fertilizer on grain yield and profitability of maize on Nitisols in eastern DRC. The urea fertilizer (100 kg ha−1) was applied in single, two, and three split-applications on three maize varieties for two cropping seasons. Results showed that maize growth and yield parameters varied significantly with N splitting strategy, varieties, and cropping season (p

This study was conducted in the eastern DR Congo to analyze the trauma of children born of rape (CBOR), and their behavior as it is perceived by their parents and community. Twenty-four families of women rape survivors and twenty-seven control families were used. The Trauma Symptoms Checklist for Children, Child Behavior Checklist, and Child and Youth Resilience Measure tests were applied. In addition, a discussion group was conducted with community members. Comparatively to girls, boys born from rape are traumatized and have psychopathological concerns such as anxiety, depression, and summation, and high internalized and externalized behaviors compared to boys from control families. Furthermore, CBOR are aggressive and gather in gangs. Despite the suffering, both CBOR and their siblings increase their resilience over the years and derive it from their environment, especially in the absence of the father who has become a polygamist. Girls born of rape are more resilient than their siblings.

Abstract Haphazard and opportunistic species occurrence (PO) data are widely used in species distribution models (SDMs) instead of high-quality species data gathered using appropriate and structured sampling methods, which is expensive and often spatially limited. Despite their widespread use in ecology, PO data are prone to errors and uncertainties, such as imperfect detectability, positional imprecision, and spatial niche truncation, which make their use analytically challenging for effective and adaptive biodiversity management and conservation. Using simulated data, this study investigates the effects of these uncertainties on the performance of spatial point process based presence-only and integrated SDMs. We investigated three SDMs in this study, one that ignores imperfect detectability: the presence-only model (PO model), and two that account for it: the thinned presence-only model (THINPO model) and the integrated model (PBPC model). The ability of these SDMs to produce accurate maximum likelihood estimates of intensity model coefficients and reliable predictions of species distributions under different data quality scenarios was investigated. The results show that SDMs that account for imperfect detectability (THINPO or PBPC models) are not applicable in situations of high detectability. In this situation, the PO model produces the most accurate maximum likelihood estimates of the models’ coefficients ( $${\hat{\beta }}_k$$ β ^ k ), and consequently the most accurate predictions of species distributions ( $${\hat{\lambda }}(s)$$ λ ^ ( s ) ). The effects of positional uncertainty and spatial niche truncation on this SDM output are minimal. However, in situations of low detectability, it is preferable to use the PBPC model. Positional uncertainty and spatial niche truncation have negligible effects on the output of this SDM, except when positionally uncertain PO data are analyzed along with truncated PC data. These minimal effects of spatial niche truncation on SDM outputs demonstrate the transferability of SDMs. However, the effects of all these uncertainties may depend on the characteristics of the species. Prior to modeling species distributions, a multivariate environmental similarity surface analysis should be performed to test the similarity between data from the restricted region to be used for model calibration and data from the entire range. If this analysis reveals dissimilarities, larger spatial and ecological scales should be considered to address the issue of spatial niche truncation. Further efforts could address the effects of species characteristics on SDMs performance and assess the effects of species-specific uncertainties.

Dairying is one of the new promising economic sectors in eastern Democratic Republic of Congo (DRC), but still not explored enough to ensure consumers' safety. This study aimed to assess the health risks and nutritional profile of milk products along the value chain in South-Kivu and Tanganyika provinces. A total of 288 milk actors, including 160 producers, 35 collectors and 93 vendors, were concerned for interview and milk samples collection. A total of 302 milk samples (159 raw, 44 pasteurized, 76 fermented and 19 white cheese so-called “Mashanza”) were collected for physicochemical [pH, fat, non-fat dry matter (NFDM), lactose, protein, freezing point, density] and microbiological (total Aerobic Mesophilic Flora, Escherichia coli, Total Coliforms, Fecal Coliforms, Salmonella and Staphylococci) analyses. Results revealed that the physicochemical characteristics of the milk mostly varied according to the type of milk and the regions. The pasteurized milk from Tanganyika presented the best physicochemical parameters [crude protein (CP) = 4.36%, Fat = 4.06%, NFDM = 12%, lactose = 5.4%, density = 1.02 and pH = 6.59] compared to other types of milk. For microbiology, no E. coli was recorded but Salmonella and Staphylococci were found in all the milk types with the values not exceeding 3 × 104 CFU ml−1 and 3 × 103 CFU ml−1, respectively. This implies a long-term consumers' health issue if appropriate measures are not taken by milk actors along the value chain. The microbiological quality was influenced by the ecologies of production axis (representing the production zones) and by handling methods and infrastructures used by the actors involved along the value chain. Factors related to animal husbandry, milking method, milk processing and packaging had no significant effect on the physicochemical parameters under study. These results indicated that health risks for milk consumers are accrued by production practices and handling by milk actors due to shortage of required skills and appropriate equipment along the milk value chain. Observance of hazard analysis critical control point (HACCP) measures is carefully required along the milk value chain nodes to improve the quality of milk produced and sold and thus reduce the risks among consumers in South-Kivu and Tanganyika provinces.

This study was conducted to contribute to improvement and sustainable development of Congolese cities, particularly Bukavu city. GIS and Remote Sensing technics were used to estimate the built-up suitable areas in Bukavu taking into account the slopes, rivers, exclusion zones, protected zones, lakes, roads, identified landslides areas, erosion and flooding. These exclusion areas were subtracted from the total city area to determine the suitable areas. 2030 and 2050 population projections were made based on 2016 estimations. The results obtained show that only 68.6% (∼29.7 km2) are suitable for built-up. Based on 2016 estimation, the population will double by 2030 and triple by 2050. While the areas that can be developed for settlements can accommodate only ∼186 000 people, the surplus will be relocated in two selected satellite cities, namely Nyatende and Miti-Murhesa centres, having ∼38 and ∼125 km2 of suitable areas, respectively. Both vertical and horizontal development with an average plot size of 350 m2 would reduce the negative impacts and ensure a sustainable city environment. To maintain the sustainability of Bukavu and its former name of “green city”, both horizontal and mixed extensions will be considered while the two selected zones have to be well planned for new satellites cities and new Bukavu city development.

The extent of crop residues and agricultural byproducts utilization for their integration in feeding systems in Eastern DR Congo was assessed in South-Kivu (Walungu territoire) and two territoires in the Tanganyika province (Kalemie and Moba territoires). Data were collected through 21 focus group discussions in which 273 farmers participated including respectively 116 (42%) from South Kivu and 157 (58%) from Tanganyika province. A logistic regression model was used to determine factors influencing the adoption of crop residues and agro-industrial byproducts as livestock feeds. Results revealed that all the respondents keep goats and chicken as major livestock. In all the territoires, crop residues (26.9%) were utilized more than agro-industrial byproducts (6.4%). Both crop residues and agro-industrial byproducts were most utilized in Walungu (39%, 10.3%), compared to Moba (18.3%, 6.2%) and Kalemie (23.4%, 2.7%). Sixteen types of crop residues and eight agro-industrial byproducts were identified and categorized into cereal crop residues (4), legume crop residues (4), root crop residues (3), fruit crop residues (3) and other crop residues (2). These crop residues and agro-industrial byproducts were generally sourced from around the homesteads and available and utilized throughout the year. They were often fed to livestock twice daily. The main constraints affecting adoption of crop residues and agro-industrial byproducts were access to information, lack of knowledge, poor infrastructures, high cost of transportation of material, storage and conservation facilities, the toxicity of material and plant diseases, high cost of products, microbial infestation and the insufficient supply of the material. Improving the utilization of crop residues and agro-industrial byproducts in the livestock feeding system in these territoires should tackle the above mentioned factors for sufficient utilization.

Abstract Glyphosate formulations, widely applied non‐selective systemic herbicides, are progressively becoming the most controversial pesticides on the market due the adverse effects they pose to humans and environment. The information on these potential hazardous effects to the handlers of the pesticide remains obscure. This study investigated effects of glyphosate‐based herbicide on growth performance, seminal parameters and hemato‐biochemical profiles in male guinea pig. Forty sexually mature male guinea pigs weighing between 393.3 and 418.4 g were divided into four groups of 10 animals each and orally administered 0, 186, 280 and 560 mg/kg body weight of WILLOSATE daily for 60 days. Daily feed intake and body weight gain were recorded. At the end of experimental period all animals were humanely sacrificed, and blood samples and vital organs were collected for appropriate analysis. Results showed a significant decrease (p

Abstract In South-Kivu province, cattle farming is an integral component of farmers’ livelihoods and one of the few income-generating opportunities for smallholders. However, very few studies have been conducted to characterize smallholders’ cattle production systems. This study documents cattle production systems to better understand their current situation, constraints they face and opportunities they offer. For that purpose, an investigation was conducted based on a structured survey questionnaire and participatory interviews with 863 farmers in South-Kivu province. Collected data were analysed using factorial analysis of mixed data and clustering techniques. The results revealed three types of smallholder cattle farms differing mainly in their herds’ sizes and landholding. The first category is the most common and includes farmers raising small herds (6.3 ± 6.7 cattle) of local breeds in herding system (in this work, “herding system” refers to a rearing system for which the farmer drives and stays with his animals on pastures and fallow land during the day) and grazing fodder in community pastures, fallow lands and roadside grasses, while land constitutes a scarce resource. In the second category, some farmers have small tracts of land ( 5 ha), but all have medium-size herds (45.1 ± 19.4 cattle) made up of local breeds, which they rear in herding system. They also exploit community pastures, fallow land and roadside fodder for animal feeding. The third and last category includes farmers with large cattle herds (78.1 ± 28.1 cattle) of local, crossbred and exotic breeds raised free range in the fenced paddocks on vast areas of land (> 5 ha) found in high-altitude regions. However, while being different according to the above-considered characteristics, the three categories of cattle farming remain extensive pastoral farms dominated by male farmers. Agriculture and/or animal husbandry are their main source of income while their livestock are also composed of goats and poultry, beside cattle. Still, the three farming groups require more inputs and improvement strategies for increased productivity in the challenging environment characterized by low land accessibility and high demand for milk and meat. Fodder cultivation and crop-livestock integration through agro-ecological systems as well as access to credit and extension services are the proposed strategies for the improvement of this economic sector.

Abstract Background The fall Armyworm (FAW) Spodoptera frugiperda (JE Smith), is currently a devastating pest throughout the world due to its dispersal capacity and voracious feeding behaviour on several crops. A MaxEnt species distributions model (SDM) was developed based on collected FAW occurrence and environmental data’s. Bioclimatic zones were identified and the potential distribution of FAW in South Kivu, eastern DR Congo, was predicted. Results Mean annual temperature (bio1), annual rainfall (bio12), temperature seasonality (bio4) and longest dry season duration (llds) mainly affected the FAW potential distribution. The average area under the curve value of the model was 0.827 demonstrating the model efficient accuracy. According to Jackknife test of variable importance, the annual rainfall was found to correspond to the highest gain when used in isolation. FAWs’ suitable areas where this pest is likely to be present in South Kivu province are divided into two corridors. The Eastern corridor covering the Eastern areas of Kalehe, Kabare, Walungu, Uvira and Fizi territories and the Western corridor covering the Western areas of Kalehe, Kabare, Walungu and Mwenga. Conclusions This research provides important information on the distribution of FAW and bioclimatic zones in South Kivu. Given the rapid spread of the insect and the climatic variability observed in the region that favor its development and dispersal, it would be planned in the future to develop a monitoring system and effective management strategies to limit it spread and crop damage.

Pig farming plays an important role in farmers’ livelihoods in many tropical countries. It contributes to food security of the poorest as well as the development of rural economy through multiplier effects. In the South Kivu province, pig farms are almost exclusively owned by smallholders. A few studies have attempted to describe thoroughly pig farming systems in this province. This study was undertaken to characterise pig production systems, in order to better understand their current situation, namely constraints they face and opportunities they offer. Investigation was conducted based on a structured survey questionnaire and participatory interviews with the owners of 989 farms in South-Kivu. Collected data was analysed using Multiple Correspondence Analysis and clustering techniques. Results showed that there are two types of smallholder pig farms differing mainly in the type of husbandry and feeding management. One category includes farms that raise pigs in free-range system consuming forages and scavenge feed (heaps picked-up from garbage and trash on their ways), which are sometimes, combined with crop residues and kitchen leftovers. The second category includes improved pig farms raising tethered pigs or in lairage where feed is mostly based on forages combined with kitchen leftovers, crop residues and concentrate feed. Nevertheless, all these different farm types share many common characteristics, including having pigs of local breeds, small herd sizes, absence of breeding boars and absence of adequate prophylactic measures. It emerged that female farmers together with experienced farmers mainly own pig farms with better characteristics (breed type, management practices, litter size, etc.). Hence, the involvement of women in pig farming can offer better prospects for the improvement of this sector. In addition, access to agricultural credit can also be an alternative to foster investment in livestock in South Kivu. All this can only lead to better results though improved local market access to smallholder producers.

The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with clinical manifestation cases that are almost similar to those of common respiratory viral infections. This study determined the prevalence of SARS-CoV-2 and other acute respiratory viruses among patients with flu-like symptoms in Bukavu city, Democratic Republic of Congo. We screened 1352 individuals with flu-like illnesses seeking treatment in 10 health facilities. Nasopharyngeal swab specimens were collected to detect SARS-CoV-2 using real-time reverse transcription-polymerase chain reaction (RT-PCR), and 10 common respiratory viruses were detected by multiplex reverse transcription-polymerase chain reaction assay. Overall, 13.9% (188/1352) of patients were confirmed positive for SARS-CoV-2. Influenza A 5.6% (56/1352) and Influenza B 0.9% (12/1352) were the most common respiratory viruses detected. Overall, more than two cases of the other acute respiratory viruses were detected. Frequently observed symptoms associated with SARS-CoV-2 positivity were shivering (47.8%; OR = 1.8; CI: 0.88–1.35), cough (89.6%; OR = 6.5, CI: 2.16–28.2), and myalgia and dizziness (59.7%; OR = 2.7; CI: 1.36–5.85). Moreover, coinfection was observed in 12 (11.5%) specimens. SARS-CoV-2 and influenza A were the most cooccurring infections, accounting for 33.3% of all positive cases. This study demonstrates cases of COVID-19 infections cooccurring with other acute respiratory infections in Bukavu city during the ongoing outbreak of COVID-19. Therefore, testing for respiratory viruses should be performed in all patients with flu-like symptoms for effective surveillance of the transmission patterns in the COVID-19 affected areas for optimal treatment and effective disease management.

The choice of appropriate land use suitability based on specific environmental and socio-economic factors could ensure sustainable land resource management in rural areas. Different land use suitability assessment approaches exist and have been successfully applied for agroforestry systems, natural or semi-natural ecosystems. In this study, different land use suitability levels for agroforestry were assessed around the Itombwe Natural Reserve (RNI), eastern Democratic Republic of Congo (DRC). Information related to soil unity, topography, climate, road infrastructures, rivers, villages, land use and land cover were analyzed using the Analytical Hierarchy Process (AHP). Moreover, spatial analyses were conducted for determining the matrix that confronts adopted variables and their corresponding weights. After performing the analyses in ArcGIS 10.7, results allowed identifying four agroforestry suitability zones, ranging from very high (~29.2%), high (~22.3%), moderate (~34%) and low (~14.5%) suitable zones. Suitability classes varied with locations (districts). The zoning around the RNI and the produced suitability maps from this study provide a valuable resource for decision-making in targeting areas suitable for agroforestry, and thus, contribute in preserving the RNI from degradation related to inadequate anthropogenic practices.

Neglected and underutilized crop species (NUCS) are valuable sources of food and income for several rural households in the eastern Democratic Republic of Congo (DRC). A thorough understanding of their diversity, uses, socio-economic roles, and factors for their neglect would be necessary for guiding promotion efforts. This study was conducted in two steps: (1) interviews with rural households involved in NUCS production and trade, and (2) greenhouse characterization of the two most popular NUCS′ morphotypes, African nightshade and amaranth, from Walungu and Kabare territories, eastern DRC. About 19% of farmers of the entire study area were involved in NUCS production. We identified 22 and 23 NUCS used in Kabare and Walungu territories, respectively. These species belonged to 19 botanical families, among which Solanaceae (∼24% in Walungu and ∼11 in Kabare) and Fabaceae (8% in Walungu and 11% in Kabare) were the most dominant families. They were of different ranges: grasses and herbs (62%), shrubs (20%), thorns (2%), and trees (16%). These species were used whether for nutritional (60%), medicinal (7%), or both nutritional and medicinal values (33%). NUCS' market value was low, and thus, discouraged further investment in their farming. The seed delivery system was informal, dominated by farmer-saved seed, seed from local markets, and farmer seed exchange. Characterization experiment for the most popular leafy NUCS showed differences among collected morphotypes for most traits, with some local genotypes outperforming exogenous commercial varieties. Supply of quality seed, training of farmers on the most appropriate cropping system, processing technologies, increased consumer awareness, linking research to policy, and increasing market opportunities for smallholder farmers are strategies for promoting wide use of these crops in eastern DRC.

This paper analyzes active fires from 2001 to 2019 in and around the Luki Biosphere Reserve, western DR Congo to assess fire risks. In this study, we used descriptive statistics to assess fire events, Getis-Ord G hotspot analysis to define the spatial patterns presented by the fire events. Diagnostics for spatiotemporal clustering of fires location and space-time interaction were assessed the spatiotemporal K function. MODIS data from 2001 to 2019 revealed 4602 fires events and 150,132 ha burned, corresponding to 42.6% of the study area. The results of this study show that the peak of fires was recorded in 2013 and fires are mostly recorded every year during the dry season from June to September. They occurred mostly between Noon and 01:00 PM local time. Fires that occurred in the region had low radiative power with the mean value of 23.5 Mega Watts. The Hotspot region where fires take place is located in the South-Eastern part of the studied area exhibiting a significant spatiotemporal clustering (p value = 0.012). Fires are mainly of 2 origins: annual savannah clearing and agriculture fires. The results of this research will help decision making with proactive preventive measures over time and space.

Promotion of improved crop varieties is an effective means of increasing farm productivity and alleviating poverty in rural areas. A successful dissemination of such varieties requires a deep understanding of target farmers’ attitudes, preferences and socio-economic status. This study aimed at assessing factors linked to smallholder farmers’ adoption decision for improved sweet potato varieties (ISPVs) in South-Kivu. A household survey was conducted on 360 smallholder farmers from four South-Kivu territories, in eastern Democratic Republic of Congo (DRC), including Idjwi, Kabare, Kalehe and Walungu, and data were analyzed using a logit regression model. The adoption decision was negatively affected by farmers’ age and the field-to-house distance. In contrast, the ISPVs adoption was favored by farmers’ education level, reduced farm size, off-farm incomes, high monthly income and use of hired farm labor. Besides, farmers’ cooperative membership, access to credit and planting materials, and contacts with extension services were instrumental in adopting improved sweet potato varieties in South-Kivu. This study highlighted the need to strengthen extension services, seed delivery systems, and amending the credit systems for increased impact on improved varieties adoption among South-Kivu sweet potato farmers.

This study aimed at assessing the land use and land cover change and its effect on the gully expansion in an agricultural and woodland tropical watershed. We used the case study of Luzinzi watershed in South-Kivu, eastern Democratic Republic of Congo (DRC) where gullies are in development. We used very high-resolution (VHR) images downloaded from Google Earth and unmanned aerial vehicles (UAV) images. ArcGIS 10.7 software helped for spatial analysis and images georeferencing while ENVI 5.3 tools were used for classification. The gullies were then digitized and characterized to determine their width, length, depth, surface and volume. The digital elevation model (DEM) was used to determine the contributing area as well as the slope at the gully headcut. The land use at the headcuts and in the gully was extracted from the different land uses obtained from classified images and validated by field measures. Results showed significant changes in land use and land cover throughout the watershed; changes that affected gully expansion. From 2011 to 2020, number of gullies passed from 38 to 201. These gullies were increasing not only in number but also in characteristics such as gully length and headcut. Their volumes increased from year to year in the same trend as woodland and forest reduction. Forest played important role in gully stabilization: gullies located in forest presented a linear retreat rate (~4.6 m) than those in other land uses (~2.4 m) from 2010 to 2020. The forest cover reduced gully surface at linear rate while the depth rate still increased. A forest cover of ~10% led to a gully expansion of ~700 m3 yr−1 and reduced to 300-400 m3 yr−1 with 30% forest coverage. Thus, forest cover at the gully headcut and in the contributing area helped to stabilize gullies. The permanent maintenance of forest and woodland covers as well as the reduction of anthropogenic activities in gullies are to be promoted at the watershed scale along with other measures to contribute to effective land resource management in the region.

Aim: This study was conducted to assess the prevalence of calf fetal wastage and its economic implications at ELAKAT slaughterhouse, Bukavu, Democratic Republic of Congo (DR Congo) to fill the research gap in relationship with this thematic. The study investigations took place from May to September 2018. Materials and Methods: A cross-sectional survey was carried at the slaughterhouse. For each visit, the number of cattle slaughtered, the number of pregnant cows slaughtered, and gestational ages (stage of pregnancy of the dam, and estimated by crown-rump length) of the fetuses were recorded. Results: Out of the 1035 cattle slaughtered during the study period, 970 were females. A total of 255 fetuses were recovered, representing a fetal recovery rate of 26.28%. The study established that one fetus was lost out of 4.5 cows slaughtered, and most of fetuses recovered (58.1%) were in the first trimester of gestation while 29.1% and 12.8% were, respectively, in the second and third trimester. Their age varied from 1.2 to 8.6 months, with body length ranging from 14 cm to 92 cm while their weight varied from 1.0 kg to 23.0 kg. The economic loss associated with the total cattle fetal wastages was estimated at Congo Democratic Francs (CDF) 29,906,400 ($15,787.5) with a monthly average of CDF 5,981,280 ($3,157.5). Conclusion: These results attested that slaughtering pregnant cows constitute a strong constraint on cattle industry development in DR Congo. Urgent measures, such as adequate enforcement of legislations on routine veterinary examinations at slaughterhouses as well as livestock owner's sensitization, are required to avoid selling pregnant cows during calving season.