ArticleScientific reports2022
Soil and landscape factors influence geospatial variation in maize grain zinc concentration in Malawi.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 25 citations in OpenAlex.
- Whole maize flour could enhance food and nutrition security in Malawi.Discover food · 2025Article
- Designing on-farm trials: an example with interventions to improve micronutrient status of grain crops.NPJ sustainable agriculture · 2025Article
- Doctoral training to support sustainable soil geochemistry research in Africa.Interface focus · 2024Article
- Do agronomic approaches aligned to regenerative agriculture improve the micronutrient concentrations of edible portions of crops? A scoping review of evidence.Frontiers in nutrition · 2023Article
- Agronomic biofortification increases grain zinc concentration of maize grown under contrasting soil types in Malawi.Plant direct · 2022Article
- Cereal grain mineral micronutrient and soil chemistry data from GeoNutrition surveys in Ethiopia and Malawi.Scientific data · 2022Article
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Authors and funding
23 authors at 9 institutions in 4 countries.
Funding
Abstract
Dietary zinc (Zn) deficiency is widespread globally, and in particular among people in sub-Saharan Africa (SSA). In Malawi, dietary sources of Zn are dominated by maize and spatially dependent variation in grain Zn concentration, which will affect dietary Zn intake, has been reported at distances of up to ~ 100 km. The aim of this study was to identify potential soil properties and environmental covariates which might explain this longer-range spatial variation in maize grain Zn concentration. Data for maize grain Zn concentrations, soil properties, and environmental covariates were obtained from a spatially representative survey in Malawi (n = 1600 locations). Labile and non-labile soil Zn forms were determined using isotopic dilution methods, alongside conventional agronomic soil analyses. Soil properties and environmental covariates as potential predictors of the concentration of Zn in maize grain were tested using a priori expert rankings and false discovery rate (FDR) controls within the linear mixed model (LMM) framework that informed the original survey design. Mean and median grain Zn concentrations were 21.8 and 21.5 mg kg
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