Abstract
Robusta coffee in Uganda is traditionally cultivated under agroforestry systems, yet farmers increasingly question whether certain tree species exacerbate disease risks or negatively impact coffee productivity. Consequently, we assessed the effects of associated tree identity, spatial arrangement, and coffee variety on major coffee diseases and fruit loads, based on a cross-sectional field survey in the Kaweri Coffee Plantation, Uganda’s largest Robusta coffee estate. Four dominant associated tree species—Mugavu (Albizia coriaria), Jackfruit (Artocarpus heterophyllus), Bark-cloth fig (Ficus natalensis), and Avocado (Persea americana)—were selected across multiple Robusta varieties. Three major coffee diseases, i.e. coffee wilt disease (CWD), coffee leaf rust disease (CLR), and Brown-eye spot (BES) were monitored during the rainy season, when disease pressure peaks. Disease incidence was extremely high for CLR and BES, approaching 100%. Coffee variety was the strongest predictor of leaf CLR and BES incidence. By contrast, fruit load depended on complex interactions among tree species, tree–coffee distance, and coffee variety. Notably, fruit load per branch increased significantly near Mugavu, while other tree species had neutral or negative effects. The relation between CLR and fruit load also varied among varieties. Our findings highlight the need for Robusta breeding programs to consider agroforestry conditions and tree–disease interactions, rather than relying on single-trait selection. Moreover, associated tree diversity, density, and spatial arrangement—as well as broader ecological factors such as soil fertility and biodiversity—likely modulate diseases and productivity, and should be integrated into future agroforestry recommendations.
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Acknowledgements
We acknowledge the management and technical staff at the Kaweri Coffee Plantation for their cooperation and commitment to conducting this research. We are grateful to Jacques Avelino for his valuable advice and insightful comments on the manuscript.
Funding
European Commission (DeSIRA initiative) FOOD/2021/427-759). The datasets generated and analyzed during the current study are available, jointly with R codes, in a permanent GitHub repository, https://github.com/GhMathis/Robusta_shade_tree.
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Kisekka, R., Gheno, M., Makune, S. et al. Coffee variety outweighs associated tree identity in shaping disease incidence and fruit load in a large-scale Ugandan Robusta agroforestry system.
Sci Rep (2026). https://doi.org/10.1038/s41598-026-73682-6
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DOI: https://doi.org/10.1038/s41598-026-73682-6
Keywords
- Agroforestry
Albizia coriaria
- Coffee leaf rust
- Fruit load
Source: Ecology - nature.com
