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dc.contributor.authorPeter-Jerome, H.
dc.contributor.authorAdewopo, J.
dc.contributor.authorKamara, A.
dc.contributor.authorAliyu, K.T.
dc.contributor.authorDawaki, M.U.
dc.date.accessioned2022-06-07T10:00:01Z
dc.date.available2022-06-07T10:00:01Z
dc.date.issued2022
dc.identifier.citationPeter-Jerome, H., Adewopo, J., Aliyu, K.T. & Dawaki, M.U. (2022). Assessing the spatial variability of soil properties to delineate nutrient management zones in smallholder maize-based system of Nigeria. Applied and Environmental Soil Science, 5111635,1-14.
dc.identifier.issn1687-7667
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7491
dc.description.abstractSpatially explicit information on soil variability is relevant for agronomic decisions; however, such information is limited in the northern Guinea savanna (NGS) agroecological zone of Nigeria. This study was conducted to delineate soil nutrient management zones (MZs), based on spatial variability of soils in the smallholder maize-based farming system within the NGS. Two hundred and eighty-nine soil samples were analyzed for some physical and chemical properties. Principal component analysis (PCA) was used to aggregate the soil properties into four principal components, which accounted for about 60% of the variation in the data, and spatial variability was assessed with a semivariogram. The ordinary kriging technique was used to predict soil properties at unsampled locations, while weighted overlay analysis was conducted to delineate nutrient management zones. Results showed that total nitrogen (0.06%), available phosphorus (5.6 mg kg−1), organic carbon (0.66%), and effective cation exchange capacity (5.6 cmol(+) kg−1) are below optimal requirement for maize production. Four MZs were identifiable in the region with the highest fertility (MZ3 and MZ4) associated with the northern area but covering a relatively small part (9.1%). The differences observed in soil properties among the MZs suggest that each zone requires different agronomic management, especially in relation to fertilizer application.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-14
dc.language.isoen
dc.subjectSoil Properties
dc.subjectNutrient Management
dc.subjectSmallholders
dc.subjectFarmers
dc.subjectFarming Systems
dc.subjectMaize
dc.subjectNigeria
dc.titleAssessing the spatial variability of soil properties to delineate nutrient management zones in smallholder maize-based system of Nigeria
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.crpMaize
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationBayero University Kano
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidPETERJEROME:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectFarming Systems
cg.iitasubjectFood Security
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Health
cg.iitasubjectPlant Production
cg.iitasubjectSmallholder Farmers
cg.iitasubjectSoil Fertility
cg.journalApplied and Environmental Soil Science
cg.notesOpen Access Article; Published online: 20 May 2022
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1155/2022/5111635
cg.iitaauthor.identifierHelen Peter: 0000-0002-2598-921X
cg.iitaauthor.identifierJulius Adewopo: 0000-0003-4831-2823
cg.iitaauthor.identifierAlpha Kamara: 0000-0002-1844-2574
cg.iitaauthor.identifierkamaluddin tijjani: 0000-0003-1613-1147
cg.futureupdate.requiredNo
cg.identifier.issue5111635
cg.identifier.volume2022
cg.contributor.acknowledgementsThe authors thank IITA under the auspices of the project “Taking Maize Agronomy to Scale in Africa (TAMASA)” for all the support given, especially with field operations and soil analysis. This research was carried out with funding support from the Bill and Melinda Gates Foundation (Contract no. OPP1113374, Grant no.: PJ-002113).


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