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Spatial evaluation of maize yield in Malawi

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  • Liu, Lin
  • Basso, Bruno

Abstract

The objective of this research was to quantify the effects of climate, soil, and management on spatial and temporal variation of maize yields across Malawi. We simulated four different nitrogen (N) management strategies to evaluate the impact of mineral and organic N amendments on maize yield across the agricultural lands of Malawi. Maize yield increased when the crop was grown with pigeonpea, or if mineral N fertilizer was added, but yield improvements under these management strategies varied spatially as result of different soil biophysical and chemical properties, weather, and their interactions with management. The increased yield from N addition showed that a significant increase in food production could be achieved in Malawi to reduce food insecurity.

Suggested Citation

  • Liu, Lin & Basso, Bruno, 2017. "Spatial evaluation of maize yield in Malawi," Agricultural Systems, Elsevier, vol. 157(C), pages 185-192.
    • Handle: RePEc:eee:agisys:v:157:y:2017:i:c:p:185-192
    DOI: 10.1016/j.agsy.2017.07.014
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    References listed on IDEAS

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    1. Ortega, David L. & Waldman, Kurt B. & Richardson, Robert B. & Clay, Daniel C. & Snapp, Sieglinde, 2016. "Sustainable Intensification and Farmer Preferences for Crop System Attributes: Evidence from Malawi’s Central and Southern Regions," World Development, Elsevier, vol. 87(C), pages 139-151.
    2. Dzotsi, K.A. & Basso, B. & Jones, J.W., 2013. "Development, uncertainty and sensitivity analysis of the simple SALUS crop model in DSSAT," Ecological Modelling, Elsevier, vol. 260(C), pages 62-76.
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    Cited by:

    1. Anders, Erin J. & Zulu, Leo C. & Jambo, Emmanuel R., 2020. "Limits to grain-legume technology integration by smallholder farmers: The case of time-sensitive labor demands and food security primacy in Malawi," Agricultural Systems, Elsevier, vol. 184(C).
    2. Lin Liu & Bruno Basso, 2020. "Linking field survey with crop modeling to forecast maize yield in smallholder farmers’ fields in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(3), pages 537-548, June.
    3. Abdelfatah, Kareem & Senn, Jonathan & Glaeser, Noemi & Terejanu, Gabriel, 2019. "Prediction and measurement update of fungal toxin geospatial uncertainty using a Stacked Gaussian process," Agricultural Systems, Elsevier, vol. 176(C).

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