Modelling the climate change adaptation potential of notillage maize systems in southern Africa

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cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Montpellier
cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.contributor.donorCentre de Coopération Internationale en Recherche Agronomique pour le Développement
cg.coverage.countryZambia
cg.coverage.iso3166-alpha2ZM
cg.coverage.regionAfrica
cg.coverage.regionSouthern Africa
cg.creator.identifierleonard rusinamhodzi: 0000-0002-5576-2040
cg.creator.identifierDavid Berre: 0000-0001-8494-9966
cg.creator.identifierChristian Thierfelder: 0000-0002-6306-7670
cg.creator.identifierSantiago Lopez-Ridaura: 0000-0002-9208-5341
cg.creator.identifierMarc Corbeels: 0000-0002-8084-9287
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1007/s11027-025-10223-y
cg.identifier.iitathemeNATURAL RESOURCE MANAGEMENT
cg.isijournalISI Journal
cg.issn1381-2386
cg.issue5: 36
cg.journalMitigation and Adaptation Strategies for Global Change
cg.reviewStatusPeer Review
cg.subject.iitaAGRONOMY
cg.subject.iitaAGRONOMY
cg.subject.iitaCLIMATE CHANGE
cg.subject.iitaMAIZE
cg.subject.iitaSMALLHOLDER FARMERS
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactPlatformNutrition, Health and Food Security
cg.subject.sdgSDG 2 - Zero hunger
cg.volume30
dc.contributor.authorRusinamhodzi, L.
dc.contributor.authorBerre, D.
dc.contributor.authorThierfelder, C.
dc.contributor.authorRidaura, S.L.
dc.contributor.authorCorbeels, M.
dc.date.accessioned2025-06-10T14:48:35Z
dc.date.available2025-06-10T14:48:35Z
dc.identifier.urihttps://hdl.handle.net/10568/175042
dc.titleModelling the climate change adaptation potential of notillage maize systems in southern Africaen
dcterms.abstractSouthern Africa is a hotspot of climate change where smallholder farmers are particularly threatened because they largely depend on rainfed agriculture for their livelihoods. The objective of the study was to assess the potential of two main principles (no-tillage and crop residue retention) of conservation agriculture (CA) and nitrogen (N) fertilizer management to mitigate the negative effects of future climate (2021–2060) on maize (Zea mays L.) productivity using the Agricultural Production Systems Simulator (APSIM). Two tillage practices were considered in the simulations, i.e. the conventional practice of tillage with removal of crop residues (CP) and NT (no-tillage and crop residue mulching), as well as three rates of N input (0, 30, 90 kg ha−1) on mono-cropped continuous maize. Simulations were run for future climate generated by an ensemble of 17 global circulation models (GCMs) using two extreme emission scenarios based on Representative Concentration Pathways (RCP2.6 and RCP8.5) for southern Africa. Results from the simulations suggest that NT management is not more beneficial in the future (2051–2060) than in the current climate, and there is no evidence to support its ability to mitigate the climate change impacts at the study sites, because the effects are principally exerted through increased temperatures. Simulations further show that increased fertilizer N inputs could drastically increase maize productivity, but with increased vulnerability to climate change. Improved crop management practices such a NT need to be combined with improved crop genotypes tolerant to multiple stresses such as drought and heat to maximize resilience under future climatic conditions.en
dcterms.accessRightsOpen Access
dcterms.audienceScientists
dcterms.available2025-05-15
dcterms.bibliographicCitationRusinamhodzi, L., Berre, D., Thierfelder, C., Lopez-Ridaura, S. & Corbeels, M. (2025). Modelling the climate change adaptation potential of no-tillage maize systems in southern Africa. Mitigation and Adaptation Strategies for Global Change, 30(5): 36, 1-26.
dcterms.descriptionOpen Access Article
dcterms.extent1-26
dcterms.issued2025-06
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.subjectclimate change mitigation
dcterms.subjectclimate change adaptation
dcterms.subjectsoil fertility
dcterms.subjectmaize
dcterms.subjectzea mays
dcterms.typeJournal Article

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