Evidence map›Paper›PMID 41179931›Full record

ArticleNPJ sustainable agriculture2025

Designing on-farm trials: an example with interventions to improve micronutrient status of grain crops.

R M Lark, M G Manzeke-Kangara, J M Kihara, M R Broadley

Abstract read
In one paragraph

Article in NPJ sustainable agriculture, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

R M LarkSchool of Bioscience, University of Nottingham, Leics, United Kingdom.
M G Manzeke-KangaraRothamsted Research, Herts, United Kingdom.
J M KiharaAlliance for Bioversity and CIAT, ICIPE Duduville Campus, Nairobi, Kenya.
M R BroadleySchool of Bioscience, University of Nottingham, Leics, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Design of on-farm experiments to achieve particular objectives, including statistical power, precision of estimates of treatment effects and spatial coverage, remains to be systematically studied. We assessed design options for an extended network to evaluate micronutrient-biofortification interventions for cereal crops in Ethiopia. We identified feasible designs to detect plausible treatment effects with power ≥0.8. Sufficient replication at farm-scale (where each farm is a complete block) was critical for this. To estimate the treatment mean with precision requires sufficient regional replication at the scale of farm clusters. With 250 clusters across the region the median distance from a random point in the region to an experimental site exceeded 5 km, so active steps would be needed to engage farmers, by facilitating visits to experimental sites. The approach used here could be applied more generally to design effective and efficient on-farm experimental networks.

Indexed as

BiogeochemistryEnvironmental sciencesPlant sciences

Identifiers

PMID41179931
PMCPMC12578627

What OpenQuestion holds

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Registered trials

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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.