Optimizing Model Land Use and Crop Productivity in Agroforestry Farms for Food Security of Small Farmers in Burundi  

作　　者：Audace Niyonzima Heidi Megerle Habonimana Bernadette Christina Weber Ndihokubwayo Soter Jannis Bahnmüller Ngendakumana Serge Niragira Sanctus Audace Niyonzima;Heidi Megerle;Habonimana Bernadette;Christina Weber;Ndihokubwayo Soter;Jannis Bahnmüller;Ngendakumana Serge;Niragira Sanctus(Facult dAgronomie et de Bio-Ingnierie, Universit du Burundi, Bujumbura, Burundi;Angewandte Geographie und Planung Hochschule fr Forstwirtschaft Rottenburg Schadenweilerhof, Rottenburg am Neckar, Germany;FESU (Food Entrepreneurship & Startups), Justus Liebig Universitt Gieen, Gieen, Germany;Hochschule fr Forstwirtschaft Rottenburg Schadenweilerhof, Rottenburg am Neckar, Germany)

机构地区：[1]Facult dAgronomie et de Bio-Ingnierie, Universit du Burundi, Bujumbura, Burundi [2]Angewandte Geographie und Planung Hochschule fr Forstwirtschaft Rottenburg Schadenweilerhof, Rottenburg am Neckar, Germany [3]FESU (Food Entrepreneurship & Startups), Justus Liebig Universitt Gieen, Gieen, Germany [4]Hochschule fr Forstwirtschaft Rottenburg Schadenweilerhof, Rottenburg am Neckar, Germany

出　　处：《Agricultural Sciences》2025年第1期123-145,共23页农业科学(英文)

摘　　要：Burundi faces major agricultural constraints, including land fragmentation, soil erosion, limited access to inputs, inadequate infrastructure and demographic pressures that exacerbate food insecurity. In order to address the multiple challenges faced by farmers in rural areas, a study on improving agricultural productivity and food security in Burundi through optimized land use and diversified farming practices in agroforestry systems has been carried out. The study area is the communes of Giheta and Rutegama, all located in Burundi’s humid plateau livelihood zone, and involved 164 households grouped in coffee growing cooperatives supervised by the cooperative consortium COCOCA. The study uses a mathematical programming model to determine optimal crop selection based on factors such as production costs, yields and market demand. The findings of the study revealed significant insights into the demographic and socio-economic characteristics of the sampled population. Notably, 98.8% of respondents were engaged in agriculture, confirming the predominantly agricultural nature of Burundi. The results indicated that maize is the most important crop, occupying 33.9% of the average total cultivated area, followed by cassava at 26.5% and bananas at 19.4%. Together, these three crops accounted for a substantial portion of the total cultivated area, highlighting their significance in local agriculture. Beans and potatoes also play a role, occupying 14.4% and smaller areas, respectively. In terms of profitability, the study provides a detailed analysis of profit margins by crop. Bananas emerges as the most profitable crop, with a profit margin of 97.3%, followed closely by cassava at 96.1% and rice at 90.5%. These crops not only offered substantial yields relative to their production costs but also benefited from strong market demand. Other crops, such as beans (71.3%), coffee (70.3%), and vegetables (54.5%), also demonstrated considerable profitability, although they occupied smaller cultivated areas. Conversely, crops likBurundi faces major agricultural constraints, including land fragmentation, soil erosion, limited access to inputs, inadequate infrastructure and demographic pressures that exacerbate food insecurity. In order to address the multiple challenges faced by farmers in rural areas, a study on improving agricultural productivity and food security in Burundi through optimized land use and diversified farming practices in agroforestry systems has been carried out. The study area is the communes of Giheta and Rutegama, all located in Burundi’s humid plateau livelihood zone, and involved 164 households grouped in coffee growing cooperatives supervised by the cooperative consortium COCOCA. The study uses a mathematical programming model to determine optimal crop selection based on factors such as production costs, yields and market demand. The findings of the study revealed significant insights into the demographic and socio-economic characteristics of the sampled population. Notably, 98.8% of respondents were engaged in agriculture, confirming the predominantly agricultural nature of Burundi. The results indicated that maize is the most important crop, occupying 33.9% of the average total cultivated area, followed by cassava at 26.5% and bananas at 19.4%. Together, these three crops accounted for a substantial portion of the total cultivated area, highlighting their significance in local agriculture. Beans and potatoes also play a role, occupying 14.4% and smaller areas, respectively. In terms of profitability, the study provides a detailed analysis of profit margins by crop. Bananas emerges as the most profitable crop, with a profit margin of 97.3%, followed closely by cassava at 96.1% and rice at 90.5%. These crops not only offered substantial yields relative to their production costs but also benefited from strong market demand. Other crops, such as beans (71.3%), coffee (70.3%), and vegetables (54.5%), also demonstrated considerable profitability, although they occupied smaller cultivated areas. Conversely, crops lik

关 键 词：OPTIMIZATION Land Use Crop Productivity AGROFORESTRY Smallholder Farmers BURUNDI 

分 类 号：F42[经济管理—产业经济]