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dc.contributor.authorWortmann, C.S.
dc.contributor.authorKaizzi, K.C.
dc.contributor.authorMaman, N.
dc.contributor.authorCyamweshi, A.
dc.contributor.authorDicko, M.
dc.contributor.authorGarba, M.
dc.contributor.authorMilner, M.
dc.contributor.authorSenkoro, C.
dc.contributor.authorTarfa, B.
dc.contributor.authorTettah, F.
dc.contributor.authorKibunja, C.
dc.contributor.authorMuntholi, M.
dc.contributor.authorNalivata, P.
dc.contributor.authorNkonde, D.
dc.contributor.authorNabahungu, L.
dc.contributor.authorQuattara, K.
dc.contributor.authorSerme, I.
dc.date.accessioned2020-07-06T11:57:19Z
dc.date.available2020-07-06T11:57:19Z
dc.date.issued2019
dc.identifier.citationWortmann, C.S., Kaizzi, K.C., Maman, N., Cyamweshi, A., Dicko, M., Garba, M., ... & Serme, I. (2019). Diagnosis of crop secondary and micro-nutrient deficiencies in sub-Saharan Africa. Nutrient Cycling in Agroecosystems, 113(2), 127-140.
dc.identifier.issn1385-1314
dc.identifier.urihttps://hdl.handle.net/20.500.12478/6893
dc.description.abstractCrop production in sub-Saharan Africa has numerous biotic and abiotic constraints, including nutrient deficiencies. Information on crop response to macronutrients is relatively abundant compared with secondary and micronutrients (SMN). Data from 1339 trial replicates of 280 field trials conducted from 2013 to 2016 in 11 countries were analyzed for the diagnosis of SMN deficiencies. The diagnostic data included relative yield response (RYR) and soil and foliar test results. The RYR to application of a combination of Mg, S, Zn, and B (Mg–S–Zn–B) relative to a comparable N–P–K treatment was a > 5% increase for 35% of the legume blocks and 60% of the non-legume blocks. The frequencies of soil test Zn, Cu, and B being below their critical level were 28, 2 and 10% for eastern and southern Africa, respectively, and 55, 58 and 89% for western Africa, while low levels for other SMN were less frequent. The frequency of foliar results indicating low availability were 58% for Zn, 16% for S and less for other SMN. The r2 values for relationships between soil test, foliar test and RYR results were < 0.035 with little complementarity except for soil test Zn and B with cassava (Manihot esculenta L. Crantz) RYR in Ghana, and foliar Zn with cereal RYR in Uganda. Positive RYR is powerful diagnostic information and indicative of good profit potential for well-targeted and well-specified SMN application. Geo-referenced RYR, soil analysis and foliar analysis results for diagnosis of SMN deficiencies in 11 countries of sub-Saharan Africa were generally not complementary.
dc.description.sponsorshipAlliance for a Green Revolution in Africa
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent127-140
dc.language.isoen
dc.subjectYields
dc.subjectMicronutrients
dc.subjectSoil Analysis
dc.subjectTropical Crops
dc.subjectTropical Soils
dc.subjectSubsaharan Africa
dc.subjectLeaf Tissue Analysis
dc.subjectBiotic Factors
dc.subjectAbiotic Factors
dc.titleDiagnosis of crop secondary and micro-nutrient deficiencies in sub-Saharan Africa
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationUniversity of Nebraska-Lincoln
cg.contributor.affiliationNational Agricultural Research Laboratories, Uganda
cg.contributor.affiliationInstitut d’ National de Recherche Agronomique du Niger
cg.contributor.affiliationRwanda Agricultural Bureau
cg.contributor.affiliationInstitut d’ Economie Rurale, Mali
cg.contributor.affiliationMlingano Agricultural Research Institute
cg.contributor.affiliationAhmadu Bello University
cg.contributor.affiliationCouncil for Scientific and Industrial Research, Ghana
cg.contributor.affiliationKenya Agriculture and Livestock Research Organization
cg.coverage.regionAfrica
cg.coverage.regionAfrica South of Sahara
cg.coverage.regionEast Africa
cg.coverage.regionWest Africa
cg.coverage.countryGhana
cg.coverage.countryUganda
cg.coverage.hubEastern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeNatural Resource Management
cg.identifier.bibtexciteidWORTMANN:2019
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectNatural Resource Management
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectSoil Information
cg.journalNutrient Cycling in Agroecosystems
cg.notesPublished online: 10 Jan 2019
cg.accessibilitystatusLimited Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCopyrighted; all rights reserved
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1007/s10705-018-09968-7
cg.iitaauthor.identifierNsharwasi Nabahungu: 0000-0002-2104-3777


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