Toward Environmentally Optimal Cattle Systems in Rwanda: A Comparative Analysis with Emphasis on Brachiaria-Based BNI Pastures
Year: 2025
Type: article
Abstract: Livestock systems in Rwanda face pressure to intensify amid growing environmental, economic, and climate-related demands. Zero-grazing (cut-and-carry) modelshave been promoted for their perceived efficiency and methane mitigation potential, but these assumptions often rely on idealized view of productivity and fail to take into account full-system costs, including labor, land use, and reproductive inefficiencies. This paper compares four cattle rearing systems; extensive, semi-intensive, zero-grazing, and Brachiaria-based pasture systems enhanced by Biological Nitrification Inhibition (BNI) using environmental, productivity, and economic indicators. Annualized milk yield, labor burden, land use efficiency, and GHG emissions are evaluated using field data, national policy estimates, and published studies. Results reveal that zero-grazing systems produce an average of 540–600 liters of milk per cow per year, despite intensive feeding and year-round labor. In contrast, SACPP’s BNI-enhanced pasture system averages ~2,700 liters per cow per year, with minimal external inputs and lower environmental burden. Both systems support ~5 cows per hectare annually, but the Brachiaria pasture achieves this without tillage, erosion, or feed transport costs. Metrics like GWP★ are used to assess methane's true impact, showing that systems with stable herd sizes may be climate-neutral or cooling over time. We recommend incorporating annual yield, labor return, and land-use efficiency as standard metrics for livestock evaluation. BNI-enhanced grazing systems offer a credible, regenerative path forward for Rwanda balancing productivity with climate resilience, soil health, and farmer viability. Keywords: Livestock, Methane, GWP★, Brachiaria, BNI, Rwanda, Pasture systems, Zero-grazing, Sustainability
Source: Journal of Agriculture
Authors: Ngoma District, Rwanda, Delice Twahirwa
Language: English
Subfield: Forestry
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4409026365