Understanding the maize yield gap in Southern Malawi by integrating ground and remote-sensing data, models, and household surveys11Submitted to Agricultural Systems

Daniela Anghileri, Tendai Polite Chibarabada, Agossou Gadedjisso-Tossou, Ailish Craig, Chengxiu Li, Yang Lu, Ellasy Gulule Chimimba, Oscar Kambombe, Frank Musa, Cosmo Ngongondo, Levis Eneya, Jean-Marie Kileshye Onema, Abdou Ali, Sosten Chiotha, Jadunandan Dash and Justin Sheffield

Agricultural Systems, 2024, vol. 218, issue C

Abstract: Improving the productivity of smallholder farmers in sub-Saharan Africa is a key component in reducing poverty and increasing food security as crop production is a significant source of livelihood for the majority of the population. Still, crop yields show a huge variability in smallholder farming systems whose productivity is poorly measured and understood.

Keywords: Crop modelling; Drylands; Sub-Saharan Africa; Mixed-method approach; Yield gap drivers; Crop trial experiments (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:218:y:2024:i:c:s0308521x24001124

DOI: 10.1016/j.agsy.2024.103962

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