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dc.contributor.authorMkuhlani, S.
dc.contributor.authorBendito, E.G.
dc.contributor.authorTofa, A.I.
dc.contributor.authorAliyu, K.T.
dc.contributor.authorShehu, B.M.
dc.contributor.authorKreye, C.
dc.contributor.authorChemura, A.
dc.date.accessioned2024-10-14T09:16:48Z
dc.date.available2024-10-14T09:16:48Z
dc.date.issued2024-05-02
dc.identifier.citationMkuhlani, S., Bendito, E.G., Tofa, A.I., Aliyu, K.T., Shehu, B.M., Kreye, C. & Chemura, A. (2024). Spatial and temporal distribution of optimal maize sowing dates in Nigeria. PLoS ONE, 19(5): e0300427, 1-16.
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8595
dc.description.abstractClimate change and inter-annual variability cause variation in rainfall commencement and cessation which has consequences for the maize growing season length and thus impact yields. This study therefore sought to determine the spatially explicit optimum maize sowing dates to enable site specific recommendations in Nigeria. Gridded weather and soil data, crop management and cultivar were used to simulate maize yield from 1981–2019 at a scale of 0.5°. A total of 37 potential sowing dates between 1 March and 7 November at an interval of 7 days for each year were evaluated. The optimum sowing date was the date which maximizes yield at harvest, keeping all other management factors constant. The results show that optimum sowing dates significantly vary across the country with northern Nigeria having notably delayed sowing dates compared to southern Nigeria which has earlier planting dates. The long-term optimal sowing dates significantly (p<0.05), shifted between the 1980s (1981–1990), and current (2011–2019), for most of the country. The most optimum planting dates of southern Nigeria shifted to later sowing dates while most optimum sowing dates of central and northern Nigeria shifted to earlier sowing dates. There was more variation in optimum sowing dates in the wetter than the drier agro-ecologies. Changes in climate explain changes in sowing dates in wetter agro-ecologies compared to drier agro-ecologies. The study concludes that the optimum sowing dates derived from this study and the corresponding methodology used to generate them can be used to improve cropping calendars in maize farming in Nigeria.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-16
dc.language.isoen
dc.subjectClimate Change
dc.subjectMaize
dc.subjectPlanting Date
dc.subjectFarming Systems
dc.subjectFood Security
dc.subjectNigeria
dc.titleSpatial and temporal distribution of optimal maize sowing dates in Nigeria
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationBayero University Kano
cg.contributor.affiliationUniversity of Twente
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubEastern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeNatural Resource Management
cg.identifier.bibtexciteidMKUHLANI:2024
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectClimate Change
cg.iitasubjectFarming Systems
cg.iitasubjectFood Security
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalPLoS ONE
cg.notesOpen Access Journal
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1371/journal.pone.0300427
cg.iitaauthor.identifierSiyabusa Mkuhlani: 0000-0001-7872-2036
cg.iitaauthor.identifierAbdullahi Ibrahim Tofa: 0000-0002-7617-4395
cg.iitaauthor.identifierKamaluddin Tijjani Aliyu: 0000-0003-1613-1147
cg.iitaauthor.identifierChristine Kreye: 0000-0001-6090-2856
cg.futureupdate.requiredNo
cg.identifier.issue5: e0300427
cg.identifier.volume19


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