Authors
Gatien N Falconnier, Louise Leroux, Damien Beillouin, Marc Corbeels, Robert J Hijmans, Camila Bonilla-Cedrez, Mark van Wijk, Katrien Descheemaeker, Shamie Zingore, François Affholder, Santiago Lopez-Ridaura, Eric Malézieux, David Makowski, Jairos Rurinda, Martin K van Ittersum, Bernard Vanlauwe, Ken E Giller, Sabine-Karen Lammoglia, Katharina Waha
Publication date
2023/2/1
Journal
Agricultural systems
Volume
205
Pages
103588
Publisher
Elsevier
Description
CONTEXT
Despite recent improvements in living standards, a substantial proportion of farm households in sub-Saharan Africa (SSA) is food insecure, and increasing crop productivity could help address this problem.
OBJECTIVE
We estimated the effect of increasing maize yields with mineral fertilizer on household food security and on regional and national maize supply in two East African countries - Uganda and Tanzania.
METHODS
We estimated maize yield response to nitrogen (N) fertilization with a machine learning model trained on 15,952 observations of maize responses to fertilizer across SSA. Together with spatial price data, we used this model to quantify the profit-maximizing N fertilizer input for a nationally-representative sample of 4188 agricultural households in the two countries. We computed a food availability indicator for all households.
RESULTS AND CONCLUSIONS
The mean profit-maximizing N …
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