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Targeting drought-tolerant maize varieties in southern Africa: a geospatial crop modeling approach using big data

dc.contributor.authorTesfaye, K.
dc.contributor.authorSonder, Kai
dc.contributor.authorCaims, J.
dc.contributor.authorMagorokosho, C.
dc.contributor.authorTarekegn, A.
dc.contributor.authorKassie, Girma T.
dc.contributor.authorGetaneh, F.
dc.contributor.authorAbdoulaye, Tahirou
dc.contributor.authorAbate, T.
dc.contributor.authorErenstein, Olaf
dc.date.accessioned2019-12-04T11:03:39Z
dc.date.available2019-12-04T11:03:39Z
dc.date.issued2016
dc.identifier.citationTesfaye, K., Sonder, K., Cairns, J., Magorokosho, C., Tarekegn, A., Kassie, G.T., ... & Erenstein, O. (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), 1-18
dc.identifier.issn1096-7508
dc.identifier.urihttps://hdl.handle.net/20.500.12478/1181
dc.description.abstractMaize 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.
dc.format.extent1-18
dc.language.isoen
dc.subjectDrought Tolerance
dc.subjectMaize
dc.titleTargeting drought-tolerant maize varieties in southern Africa: a geospatial crop modeling approach using big data
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionSouthern Africa
cg.coverage.countryMalawi
cg.coverage.countryMozambique
cg.coverage.countryZambia
cg.coverage.countryZimbabwe
cg.authorship.typesCGIAR multi-centre
cg.iitasubjectMaize
cg.journalInternational Food and Agribusiness Management Review
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid78373
cg.targetaudienceScientists


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