Research Article
A Comparative Study of the Impact of Avocado, Sunflower, and Courgette on Bee Productivity in Rwanda: A Case Study of Burera District
Gaspard Ntabakirabose*,
Ritha Tumukunde,
Eleonore Kambabazi,
Gerard Kayiranga,
Jean Claude Noel Majuga,
Mbabazi Mbabazize,
David Mwehia Mburu
Issue:
Volume 10, Issue 4, December 2025
Pages:
132-138
Received:
5 January 2025
Accepted:
1 February 2025
Published:
14 October 2025
DOI:
10.11648/j.eeb.20251004.11
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Abstract: Bees are vital insects in agricultural production systems. In addition to crop pollination, bees produce honey, a valuable food commodity. Bees' attraction to plants differs according to species and plant morphology. The objective of this study was to compare the effects of Avocado, sunflower, and courgette crops on bee foraging behaviour, nectar collection efficiency, and honey production. The research focused on the Gatebe Sector, Rwambogo Cell, Murambo Village, characterized by its temperate climate and rich agricultural landscape. Bee visitation rates were measured at different times of the day, while honey production was tracked in colonies near the crops. The diversity of bee species visiting each crop was assessed using the Shannon-Wiener Index. The results revealed that sunflowers attracted the highest number of bees, particularly during midday, followed by avocado and courgette. Nectar collection efficiency and total honey yield were highest in sunflower, with peak activity from 12:00 p.m. to 4:00 p.m. Avocado showed moderate bee visitation and honey production, with a narrow peak period from 10:00 a.m. to 2:00 p.m. Courgette produced less honey, with a peak nectar collection period from 9:00 a.m. to 12:00 p.m. In terms of bee species diversity, sunflower exhibited the greatest richness, followed by avocado and courgette. Sunflower consistently yielded the highest total honey (14.5 kg), followed by avocado (11.5 kg) and courgette (8.0 kg). Sunflower attracted the highest species diversity, followed by Avocado while courgettes had the lowest diversity, with only 4 species. The findings suggest that sunflower cultivation in home gardens enhances bee productivity and supports a diverse pollinator community, making it an optimal choice for boosting both honey production and pollinator health. The study underscores the importance of selecting appropriate crops to optimize bee activity and improve agricultural sustainability in smallholder farming systems.
Abstract: Bees are vital insects in agricultural production systems. In addition to crop pollination, bees produce honey, a valuable food commodity. Bees' attraction to plants differs according to species and plant morphology. The objective of this study was to compare the effects of Avocado, sunflower, and courgette crops on bee foraging behaviour, nectar c...
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Research Article
Temporal Patterns of Climate Variability and Malaria Incidences Among Children (0-5) Years in Uganda: A Time Series Analysis
Issue:
Volume 10, Issue 4, December 2025
Pages:
139-155
Received:
23 October 2025
Accepted:
4 November 2025
Published:
9 December 2025
Abstract: Background: Malaria remains a major public health challenge in Uganda, particularly among children under five years of age. Between 2019 and 2023, the prevalence increased with age, from 3% in infants under six months to 12% in children aged 48–59 months, and was markedly higher in rural areas (11%) than in urban areas (3%). However, analysis of the data on malaria has been focused on a single variable, while the impact of climate variation on malaria is over several factors and over time. This study assesses the temporal patterns of climate variability and malaria incidence among children aged 0–5 years in Uganda using a time series analysis. Methods: The study analysed 150 monthly time series records from 2015 to 2022. It used the Vector Error Correction Model (VECM), which allows examination of both short-term changes and long-term relationships among variables. The variables included confirmed malaria cases in children under five years, rainfall, minimum and maximum temperatures, and vegetation cover. Data were obtained from the Ministry of Health/DHIS2, NASA Earth Data, CHIRPS, and NASA EOSDIS. Results: The results revealed significant long-term relationships and short-term feedback mechanisms between malaria incidence and climatic factors. The error correction term (ECT) for malaria was -0.006, indicating a slow adjustment to equilibrium. In contrast, rainfall, minimum temperature, and the Normalized Difference Vegetation Index (NDVI) showed correction behaviours, adjusting upward following deviations. Short-term changing aspects revealed that previous values of malaria cases among children under five years (coefficient = 0.091) and rainfall (coefficient = 0.061) positively influenced current malaria trends. The minimum temperature displayed strong autocorrelation (coefficient = 0.810), whereas the NDVI showed a large short-term response (coefficient = 140.100), highlighting its sensitivity to environmental shifts. Maximum temperature had a negative short-term association with malaria incidences (coefficient = -0.259), suggesting inverse seasonal effects. Conclusions: The study reveals significant short-term and long-term interactions among malaria cases among children under five years, rainfall, temperature, and NDVI. The presence of statistically significant error correction terms indicates that the system adjusts to restore equilibrium following deviations, with malaria cases among children under five years exhibiting consistent correction. Lagged coefficients show that past changes, particularly in minimum temperature and NDVI, exert a strong influence on current conditions.
Abstract: Background: Malaria remains a major public health challenge in Uganda, particularly among children under five years of age. Between 2019 and 2023, the prevalence increased with age, from 3% in infants under six months to 12% in children aged 48–59 months, and was markedly higher in rural areas (11%) than in urban areas (3%). However, analysis of th...
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,
Robert Wamala
