Evidence map›Paper›PMID 33103047›Full record

ArticlePlant direct2020

Increasing zinc concentration in maize grown under contrasting soil types in Malawi through agronomic biofortification: Trial protocol for a field experiment to detect small effect sizes.

Lester Botoman, Patson C Nalivata, Joseph G Chimungu, Moses W Munthali, Elizabeth H Bailey, E Louise Ander, R Murray Lark, Abdul-Wahab Mossa, Scott D Young, Martin R Broadley

Open access · goldAbstract read
In one paragraph

Article in Plant direct, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Lester BotomanCrop and Soil Sciences Department Lilongwe University of Agriculture and Natural Resources (LUANAR) Bunda Campus Lilongwe Malawi.ORCID https://orcid.org/0000-0003-1159-0598
Patson C NalivataCrop and Soil Sciences Department Lilongwe University of Agriculture and Natural Resources (LUANAR) Bunda Campus Lilongwe Malawi.
Joseph G ChimunguCrop and Soil Sciences Department Lilongwe University of Agriculture and Natural Resources (LUANAR) Bunda Campus Lilongwe Malawi.ORCID https://orcid.org/0000-0002-0330-0872
Moses W MunthaliDepartment of Agricultural Research Services Chitedze Agricultural Research Station Lilongwe Malawi.
Elizabeth H BaileySchool of Biosciences University of Nottingham Loughborough UK.
E Louise AnderInorganic Geochemistry Centre for Environmental Geochemistry British Geological Survey Nottingham UK.
R Murray LarkSchool of Biosciences University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0003-2571-8521
Abdul-Wahab MossaSchool of Biosciences University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0002-9540-2023
Scott D YoungSchool of Biosciences University of Nottingham Loughborough UK.
Martin R BroadleySchool of Biosciences University of Nottingham Loughborough UK.ORCID https://orcid.org/0000-0003-3964-7226
University of Nottingham · GBLilongwe University of Agriculture and Natural Resources · MWBritish Geological Survey · GBDepartment of Agricultural Research & Technical Services · MW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of micronutrient deficiencies including zinc (Zn) is widespread in Malawi, especially among poor and marginalized rural populations. This is due to low concentrations of Zn in most staple cereal crops and limited consumption of animal source foods. The Zn concentration of cereal grain can be increased through application of Zn-enriched fertilizers; a process termed agronomic biofortification or agro-fortification. This trial protocol describes a field experiment which aims to assess the potential of agronomic biofortification to improve the grain Zn concentration of maize, the predominant staple crop of Malawi. The hypotheses of the study are that application of Zn-enriched fertilizers will create a relatively small increase in the concentration of Zn in maize grains that will be sufficient to benefit dietary supplies of Zn, and that the effectiveness of agronomic biofortification will differ between soil types. The study will be conducted at three sites, Chitedze, Chitala, and Ngabu Agricultural Research Stations, in Lilongwe, Salima, and Chikwawa Districts respectively. These three sites represent locations in the Central and Southern Regions of Malawi. At each site, two different sub-sites will be used, each corresponding to one of two agriculturally important soil types of Malawi, Lixisols, and Vertisols. Within each sub-site, three Zn fertilizer rates (1, 30, and 90 kg/ha) will be applied to experimental plots using standard soil application methods, in a randomized complete block design. The number of replicates at plot level has been informed by a power analysis from pilot study data, assuming that a minimum 10% increase in Zn concentration of grain at 90 kg/ha relative to the concentration at 1 kg/ha is of interest. Grain mass (yield), stover mass, and both stover and grain Zn concentrations will be measured at harvest. A second year of cropping will be used to establish whether there are any residual benefits to grain Zn concentration. The potential for Zn agronomic biofortification will be communicated to relevant academic and government stakeholders through a peer review journal article and a briefing paper.

Indexed as

effect sizepower analysissoil typezinc‐enriched fertilizers

Identifiers

PMID33103047
PMCPMC7578695
OpenAlexW3094518472

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.