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dc.contributor.authorAliyu, K.T.
dc.contributor.authorKamara, A.Y.
dc.contributor.authorJibrin, J.M.
dc.contributor.authorHuising, J.E.
dc.contributor.authorShehu, B.M.
dc.contributor.authorAdewopo, J.B.
dc.contributor.authorMohammed, I.B.
dc.contributor.authorSolomon, R.
dc.contributor.authorAdam, A.M.
dc.contributor.authorSamndi, A.M.
dc.date.accessioned2021-03-11T11:00:44Z
dc.date.available2021-03-11T11:00:44Z
dc.date.issued2020
dc.identifier.citationAliyu, K.T., Kamara, A.Y., Jibrin, J.M., Huising, J.E., Shehu, B.M., Adewopo, J.B., ... & Samndi, A.M. (2020). Delineation of soil fertility management zones for site-specific nutrient management in the maize belt region of Nigeria. Sustainability, 12(21), 9010: 1-18.
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7078
dc.description.abstractSite-specific nutrient management can reduce soil degradation and crop production risks related to undesirable timing, amount, and type of fertilizer application. This study was conducted to understand the spatial variability of soil properties and delineate spatially homogenous nutrient management zones (MZs) in the maize belt region of Nigeria. Soil samples (n = 3387) were collected across the area using multistage and random sampling techniques, and samples were analyzed for pH, soil organic carbon (SOC), macronutrients (N, P, K, S, Ca and Mg), micronutrients (S, B, Zn, Mn and Fe) content, and effective cation exchange capacity (ECEC). Spatial distribution and variability of these parameters were assessed using geostatistics and ordinary kriging, while principal component analysis (PCA) and multivariate K-means cluster analysis were used to delineate nutrient management zones. Results show that spatial variation of macronutrients (total N, available P, and K) was largely influenced by intrinsic factors, while that of S, Ca, ECEC, and most micronutrients was influenced by both intrinsic and extrinsic factors with moderate to high spatial variability. Four distinct management zones, namely, MZ1, MZ2, MZ3, and MZ4, were identified and delineated in the area. MZ1 and MZ4 have the highest contents of most soil fertility indicators. MZ4 has a higher content of available P, Zn, and pH than MZ1. MZ2 and MZ3, which constitute the larger part of the area, have smaller contents of the soil fertility indicators. The delineated MZs offer a more feasible option for developing and implementing site-specific nutrient management in the maize belt region of Nigeria.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-18
dc.language.isoen
dc.subjectSoil Quality
dc.subjectMultivariate
dc.subjectGeostatistics
dc.subjectManagement
dc.subjectNigeria
dc.subjectSoil Fertility
dc.subjectMaize
dc.titleDelineation of soil fertility management zones for site-specific nutrient management in the maize belt region 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.bibtexciteidALIYU:2020
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectSoil Fertility
cg.iitasubjectSoil Information
cg.journalSustainability
cg.notesOpen Access Journal; Published online: 29 Oct 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3390/su12219010
cg.iitaauthor.identifierAlpha Kamara: 0000-0002-1844-2574
cg.futureupdate.requiredNo


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