This study characterizes maize and soybean production systems in the Chinyanja Triangle, a major agricultural region spanning parts of Malawi, Zambia, and Mozambique, and evaluates opportunities to sustainably increase crop productivity. Maize is the principal staple crop in southern Africa, while soybean is rapidly expanding because of its economic and nutritional value. Using crop-cut measurements from 485 maize fields and 509 soybean fields, farmer surveys, climate and soil data, and simulations with the DSSAT crop model, the study assessed actual yields, yield gaps, and the main factors limiting production. Machine-learning approaches were applied to identify key drivers of yield variability and diagnose production constraints across locations. The study identifies practical agronomic interventions that can help reduce yield gaps and improve crop performance across diverse farming environments. These findings provide evidence to guide technology development, extension services, and agricultural investment strategies aimed at enhancing sustainable intensification, strengthening smallholder livelihoods, and improving regional food security in southern Africa.
This work is licensed under © Elsevier Ltd. All rights are reserved.
This work is licensed under © Elsevier Ltd. All rights are reserved.
DOI:
https://doi.org/10.1016/j.agsy.2026.104740Altmetric score:
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Publication year
2026
ISSN
0308-521X
Authors
Chiduwa, M.S.; Nyagumbo, I.; Omondi, J.O.; Mkuhlani, S.; Masikati, P.; Malunga, I.; Mwila, M.; Simwaka, P.; Mapaure, M.; Banda, A.; Hougni, D.-G.; Ndour, A.; Fantaye, K.; Snapp, S.; Silva, J.V.
Language
English
Keywords
crop management, crop production, crop yield, farming systems, intensification, maize, smallholders, soil fertility, soybeans, sustainable agriculture, zea mays
Source
Agricultural Systems. 236: 104740
Geographic
Malawi, Zambia, Mozambique




