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Targeting Drought-Tolerant Maize Varieties in Southern Africa: A Geospatial Crop Modeling Approach Using Big Data

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Title Targeting Drought-Tolerant Maize Varieties in Southern Africa: A Geospatial Crop Modeling Approach Using Big Data
 
Creator Tesfaye, Kindie
 
Contributor Sonder, Kai
Cairns, Jill
Magorokosho, Cosmos
Tarekegn, Amsal
Kassie, Girma
Getaneh, Fite
Abdoulaye, Tahirou
Abate, Tsedeke
Erenstein, Olaf
 
Description Maize is a major staple food crop in southern Africa and stress tolerant improved varieties have the potential to increase productivity, enhance livelihoods and reduce food insecurity. This study uses big data in refining the geospatial targeting of new drought-tolerant (DT) maize varieties in Malawi, Mozambique, Zambia, and Zimbabwe. Results indicate that more than 1.0 million hectares (Mha) of maize in the study countries is exposed to a seasonal drought frequency exceeding 20% while an additional 1.6 Mha experience a drought occurrence of 10–20%. Spatial modeling indicates that new DT varieties could give a yield advantage of 5–40% over the commercial check variety across drought environments while crop management and input costs are kept equal. Results indicate a huge potential for DT maize seed production and marketing in the study countries. The study demonstrates how big data and analytical tools enhance the targeting and uptake of new agricultural technologies for boosting rural livelihoods, agribusiness development and food security in developing countries.
 
Date 2017-02-27T13:02:02Z
2017-02-27T13:02:02Z
 
Type Journal Article
 
Identifier https://mel.cgiar.org/reporting/downloadmelspace/hash/wOOBDXfv/v/4e13c5964594c7d6331df83ad64ea78c
Kindie Tesfaye, Kai Sonder, Jill Cairns, Cosmos Magorokosho, Amsal Tarekegn, Girma Kassie, Fite Getaneh, Tahirou Abdoulaye, Tsedeke Abate, Olaf Erenstein. (27/4/2016). Targeting Drought-Tolerant Maize Varieties in Southern Africa: A Geospatial Crop Modeling Approach Using Big Data. International Food and Agribusiness Management Review, 19 (A), pp. 75-92.
https://hdl.handle.net/20.500.11766/6037
Open access
 
Language en
 
Rights CC-BY-4.0
 
Format PDF
 
Publisher International Food and Agribusiness Management Association (IFAMA)
 
Source International Food and Agribusiness Management Review;19,(2016) Pagination 75-92