Assessing the agroforestry potential of selected native tree species in Rwanda

The deliberate integration of trees into crop and livestock farming systems has garnered significant attention for its ability to deliver environmental, economic, and social benefits. In Rwanda, this agroforestry approach is increasingly embraced because of its capacity to conserve the soil, produce food, feed, and wood products, and provide other essential ecosystem services. However, the limited integration and undervaluation of indigenous tree species in Rwandan farming practices reveal a critical gap in the sustainability of this practice. This study evaluated the agroforestry potential of nine native tree species by examining their compatibility with beans and maize, and their growth outside forest environments. Among the species tested, Pterygota mildbraedii exhibited the highest mean annual height growth (0.27 m yr−1), while Erythrina abyssinica recorded the largest diameter increment (0.30 cm yr−1). Tree presence significantly reduced crop yield (p < 0.05), with compatibility varying among species in the following order: Ficus thonningii, Markhamia platycalyx, Podocarpus falcatus, Maesopsis eminii, and Polyscias fulva. While further studies are needed, these compatibility levels indicate that integrating one or more of the tested species into farming systems may be feasible if the benefits from tree products and ecosystem services outweigh any crop competition.

Authors

Institutions

Publication Details

Journal
Cogent Food & Agriculture
Published
2025-09-12
DOI
https://doi.org/10.1080/23311932.2025.2555743
Primary Topic
African Botany and Ecology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the agroforestry potential of selected native tree species in Rwanda

Jean Damascene Ndayambaje, Jean Claude Ishimwe, Josine Uwihanganye, Patrick Canisius Mugunga
Cogent Food & Agriculture
African Botany and Ecology Studies
article

Assessing the agroforestry potential of selected native tree species in Rwanda

Jean Damascene Ndayambaje, Jean Claude Ishimwe, Josine Uwihanganye, Patrick Canisius Mugunga
article en

Abstract

The deliberate integration of trees into crop and livestock farming systems has garnered significant attention for its ability to deliver environmental, economic, and social benefits. In Rwanda, this agroforestry approach is increasingly embraced because of its capacity to conserve the soil, produce food, feed, and wood products, and provide other essential ecosystem services. However, the limited integration and undervaluation of indigenous tree species in Rwandan farming practices reveal a critical gap in the sustainability of this practice. This study evaluated the agroforestry potential of nine native tree species by examining their compatibility with beans and maize, and their growth outside forest environments. Among the species tested, Pterygota mildbraedii exhibited the highest mean annual height growth (0.27 m yr−1), while Erythrina abyssinica recorded the largest diameter increment (0.30 cm yr−1). Tree presence significantly reduced crop yield (p < 0.05), with compatibility varying among species in the following order: Ficus thonningii, Markhamia platycalyx, Podocarpus falcatus, Maesopsis eminii, and Polyscias fulva. While further studies are needed, these compatibility levels indicate that integrating one or more of the tested species into farming systems may be feasible if the benefits from tree products and ecosystem services outweigh any crop competition.

Cogent Food & AgricultureVol. 11(1)
University of South Bohemia in České Budějovice (CZ), National Centre for Research (Sudan) (SD), Department of Forestry (MW), World Agroforestry Centre (KE)
Openalex Percentile: Top 70%
African Botany and Ecology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.