Drivers of maize yield variability at household level in northern Ghana and Malawi

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cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.crpMaize
cg.contributor.donorUnited States Agency for International Developmenten
cg.contributor.donorBill & Melinda Gates Foundationen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeExcellence in Agronomy
cg.coverage.countryGhana
cg.coverage.countryMalawi
cg.coverage.iso3166-alpha2GH
cg.coverage.iso3166-alpha2MW
cg.coverage.regionAfrica
cg.coverage.regionSouthern Africa
cg.coverage.regionWestern Africa
cg.coverage.regionEastern Africa
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1080/10106049.2023.2230948en
cg.identifier.iitathemeBIOMETRICS
cg.isijournalISI Journalen
cg.issn1010-6049en
cg.issue1en
cg.journalGeocarto Internationalen
cg.reviewStatusPeer Reviewen
cg.subject.iitaAGRONOMYen
cg.subject.iitaBIOMETRICSen
cg.subject.iitaFOOD SECURITYen
cg.subject.iitaMAIZEen
cg.subject.iitaPLANT BREEDINGen
cg.subject.iitaPLANT PRODUCTIONen
cg.subject.iitaSOIL FERTILITYen
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 1 - No povertyen
cg.subject.sdgSDG 2 - Zero hungeren
cg.volume38en
dc.contributor.authorGachoki, S.en
dc.contributor.authorMuthoni, F.K.en
dc.date.accessioned2023-07-31T10:07:49Zen
dc.date.available2023-07-31T10:07:49Zen
dc.identifier.urihttps://hdl.handle.net/10568/131335
dc.titleDrivers of maize yield variability at household level in northern Ghana and Malawien
dcterms.abstractMaize is a staple food, but productivity has stagnated due to limited access to advanced farming methods and knowledge. To promote sustainable agriculture, understanding the factors affecting maize yield at the farm level is crucial. This study used panel data on maize yield and agronomic practices in Northern Ghana and Malawi from 2014 to 2020. Satellite-based environmental variables were extracted at household locations, and Random Forest modeling was used to identify factors influencing maize yield variability. The models performance was sub-par with low R2 values (∼0.1 and ∼0.24 for Northern Ghana and Malawi). Fertilizer and precipitation were the most important factors explaining maize yield variability. Spatial maps showed that Malawi’s maize yield can increase with more fertilizer, but rainfall is essential. In Northern Ghana, relying solely on fertilizer may not be enough to boost maize production.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2023-07-03
dcterms.bibliographicCitationGachoki, S. & Muthoni, F.K. (2023). Drivers of maize yield variability at household level in Northern Ghana and Malawi. Geocarto International, 38(1), 1-16.en
dcterms.descriptionOpen Access Journal; Published online: 03 Jul 2023en
dcterms.extent1-35en
dcterms.issued2023-06-27
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInforma UK Limiteden
dcterms.subjectmaizeen
dcterms.subjectdataen
dcterms.subjectmachine learningen
dcterms.subjectsustainable agricultureen
dcterms.subjectyieldsen
dcterms.subjectforecastingen
dcterms.typeJournal Article

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