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Characterization of macro and micro-minerals in cassava leaves from genotypes planted in three different agroecological locations in Nigeria

dc.contributor.authorAlamu, E.O.
dc.contributor.authorDixon, A.
dc.contributor.authorEyinla, T.
dc.contributor.authorMaziya-Dixon, B.
dc.date.accessioned2023-04-17T07:00:01Z
dc.date.available2023-04-17T07:00:01Z
dc.date.issued2022-11
dc.identifier.citationAlamu, E.O., Dixon, A., Eyinla, T. & Maziya-Dixon, B. (2022). Characterization of macro and micro-minerals in cassava leaves from genotypes planted in three different agroecological locations in Nigeria. Heliyon, 8(11): e11618, 1-18.
dc.identifier.issn2405-8440
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8132
dc.description.abstractDiversity in the mineral composition of cassava leaves bred in sub-Saharan Africa has not been fully investigated. This study characterized macro and micro-minerals in 400 genotypes of Cassava leaves planted in three different agroecological environments in Nigeria. Laboratory analysis of the leaves was done using an Inductively Coupled Optical Emission Spectrometer. Across all three locations sampled in this study, the iron content ranged from 43 to 660 mg/kg, zinc from 16 to 440 mg/kg, Manganese 16–61mg/kg, Copper 0.7–14 mg/kg, Aluminum 5.3–630 mg/kg. Among the macro elements, Calcium ranged from 3600 to 17600 mg/kg, Magnesium 1760–6500 mg/kg, Sodium 0.4–720 mg/kg, Potassium 3100–27000 mg/kg. When the location effect was tested, there was a significant difference among the genotypes for all elements. Cluster analysis resulted in five clusters containing 187, 147, 60, 2, and 4 genotypes, respectively. Cluster 2 contained eight varieties (01/0046, 94/0020, 93/0098, 88/112-7(3X), I00/0017, 91/00417, I00/0017, 88/112-7(3X)) that possessed the highest mineral compositions in Fe, Al, Ti, Na, K, S, Mn, and B, respectively. Genotypes 93/0681(4X), 92/0430, and 95/0460 in cluster 3 had the highest concentrations of Mg, Na, and Zn, respectively. The correlation results showed a notable positive relationship among iron with zinc, copper, aluminum, and titanium (r = 0.33, 0.39, 0.48, and 0.56, respectively), zinc with nickel, titanium, and sulphur (r = 0.52, 0.3,2 and 0.51, respectively) while calcium negatively correlated with potassium (r = ‒ 0.31), phosphorus (r = ‒0.41). This study provides evidence that genotypic diversity exists for mineral composition in cassava leaves and, therefore, can be exploited for genetic improvement by breeders seeking solutions to reduce persistent mineral deficiencies in sub-Saharan Africa.
dc.format.extent1-18
dc.language.isoen
dc.subjectCassava
dc.subjectLeaves
dc.subjectMinerals
dc.subjectNigeria
dc.subjectIron
dc.subjectZinc
dc.subjectGenotypes
dc.titleCharacterization of macro and micro-minerals in cassava leaves from genotypes planted in three different agroecological locations in Nigeria
dc.typeJournal Article
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubSouthern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeNutrition and Human Health
cg.identifier.bibtexciteidALAMU:2022f
cg.isijournalISI Journal
cg.authorship.typesCGIAR Single Centre
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectNutrition
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectPlant Production
cg.journalHeliyon
cg.notesOpen Access Journal; Published online: 16 Nov 2022
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1016/j.heliyon.2022.e11618
cg.iitaauthor.identifierAlamu Emmanuel Oladeji: 0000-0001-6263-1359
cg.iitaauthor.identifierBusie Maziya-Dixon: 0000-0003-2014-2201
cg.futureupdate.requiredNo
cg.identifier.issue11: e11618
cg.identifier.volume8


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