eprintid: 11547
rev_number: 11
eprint_status: archive
userid: 3170
dir: disk0/00/01/15/47
datestamp: 2020-08-09 14:21:51
lastmod: 2020-08-09 14:21:51
status_changed: 2020-08-09 14:21:51
type: article
metadata_visibility: show
creators_name: Gashu, D
creators_name: Lark, R M
creators_name: Milne, A E
creators_name: Amede, T
creators_name: Bailey, E H
creators_name: Chagumaira, C
creators_name: Dunham, S J
creators_name: Gameda, S
creators_name: Kumssa, D B
creators_name: Mossa, A W
creators_name: Walsh, M G
creators_name: Wilson, L
creators_name: Young, S D
creators_name: Ander, E L
creators_name: Broadley, M R
creators_name: Joy, E J M
creators_name: McGrath, S P
icrisatcreators_name: Amede, T
affiliation: Centre for Food Science and Nutrition, Addis Ababa University, Addis Ababa
affiliation: School of Biosciences, University of Nottingham, Sutton Bonington, Leicestershire
affiliation: Department of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire
affiliation: ICRISAT (Addis Ababa)
affiliation: International Maize and Wheat Improvement Center, ILRI Sholla Campus, Addis Ababa
affiliation: Center for International Earth Science Information Network, The Earth Institute, Columbia University, Palisades, New York
affiliation: British Geological Survey, Keyworth, Leicestershire
affiliation: Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London
country: Ethiopia
country: UK
country: USA
title: Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia
ispublished: pub
subjects: S100
subjects: S5
subjects: s2.3
divisions: CRPS5
full_text_status: public
keywords: Selenium, Micronutrients, Hidden hunger, Teff, Wheat, Geostatistics
note: This work was supported by ‘GeoNutrition’ projects, funded by Biotechnology
and Biological Sciences Research Council (BBSRC) / Global Challenges Research Fund (GCRF) [BB/P023126/1] (project lead, SPM);
and the Bill &Melinda Gates Foundation (BMGF) [INV-009129] (project
lead, MRB). The funders were not involved in the study design, the collection,
management, analysis, and interpretation of data, thewriting of
the report or the decision to submit the report for publication.
The boundaries, denominations, and any other information shown
on the maps in Figs. 8–13 do not imply any judgment about the legal
status of any territory, or constitute any official endorsement or acceptance
of any boundaries, on the part of any Government.
The road network data used in the sample planning were
copyrighted OpenStreetMap contributors and available from https://
www.openstreetmap.org. The CHELSA project is acknowledged for
making the downscaled climate data available from https://
climatedataguide.ucar.edu/.
The authors gratefully acknowledge the contribution made to this
research by the field sampling team of the Amhara National Regional
Bureau of Agriculture. Debebe Hailu and Aregash Beshire also contributed
to sample preparation.
ELA's contribution is publishedwith the permission of the Executive
Director of the British Geological Survey (NERC).
abstract: Grain and soilwere sampled across a large part of Amhara, Ethiopia in a study motivated by prior evidence of selenium
(Se) deficiency in the Region's population. The grain samples (teff, Eragrostis tef, and wheat, Triticum
aestivum) were analysed for concentration of Se and the soils were analysed for various properties, including
Se concentration measured in different extractants. Predictive models for concentration of Se in the respective
grainswere developed, and the predicted values, alongwith observed concentrations in the two grainswere represented
by a multivariate linear mixed model in which selected covariates, derived from remote sensor observations
and a digital elevation model, were included as fixed effects. In all modelling steps the selection of predictors was done using false discovery rate control, to avoid over-fitting, and using an α-investment procedure
to maximize the statistical power to detect significant relationships by ordering the tests in a sequence
based on scientific understanding of the underlying processes likely to control Se concentration in grain. Crossvalidation
indicated that uncertainties in the empirical best linear unbiased predictions of the Se concentration
in both grains were well-characterized by the prediction error variances obtained from the model. The predictions
were displayed as maps, and their uncertainty was characterized by computing the probability that the
true concentration of Se in grain would be such that a standard serving would not provide the recommended
daily allowance of Se. The spatial variation of grain Se was substantial, concentrations in wheat and teff differed
but showed the same broad spatial pattern. Such information could be used to target effective interventions to
address Se deficiency, and the general procedure used for mapping could be applied to other micronutrients
and crops in similar settings.
date: 2020-05
date_type: published
publication: Science of The Total Environment (TSI)
volume: 733
publisher: Elsevier
pagerange: 1-16
id_number: doi:10.1016/j.scitotenv.2020.139231
refereed: TRUE
issn: 0048-9697
official_url: https://doi.org/10.1016/j.scitotenv.2020.139231
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.1016%2Fj.scitotenv.2020.139231&btnG=
related_url_type: pub
funders: Biotechnology and Biological Sciences Research Council (BBSRC)
funders: Global Challenges Research Fund (GCRF)
funders: Bill & Melinda Gates Foundation (BMGF)
citation:   Gashu, D and Lark, R M and Milne, A E and Amede, T and Bailey, E H and Chagumaira, C and Dunham, S J and Gameda, S and Kumssa, D B and Mossa, A W and Walsh, M G and Wilson, L and Young, S D and Ander, E L and Broadley, M R and Joy, E J M and McGrath, S P  (2020) Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia.  Science of The Total Environment (TSI), 733.  pp. 1-16.  ISSN 0048-9697     
document_url: http://oar.icrisat.org/11547/1/1-s2.0-S0048969720327480-main.pdf