Evidence map›Paper›PMID 40521151›Full record

ArticleData in brief2025

Survey data on determinants and barriers to the adoption of improved maize seeds among smallholder farmers in the Katangese Copperbelt.

Arsene Mushagalusa Balasha, Angelo Fiore, Mazinga Kwey Michel, Alex Nyumbaiza Tambwe

Abstract read
In one paragraph

Article in Data in brief, 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.

Arsene Mushagalusa BalashaAgricultural Economics, University of Lubumbashi, PO Box 1825, Lubumbashi, Democratic Republic of the Congo.
Angelo FioreAgricultural Economics, University of Lubumbashi, PO Box 1825, Lubumbashi, Democratic Republic of the Congo.
Mazinga Kwey MichelAgricultural Economics, University of Lubumbashi, PO Box 1825, Lubumbashi, Democratic Republic of the Congo.
Alex Nyumbaiza TambweDepartment of Sociology and Anthropology, University of Lubumbashi, PO Box 1825, Lubumbashi, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset describes survey data on the drivers and constraints of adopting improved maize varieties among smallholder farmers in the mining region of Haut-Katanga, Democratic Republic of the Congo. The household survey was conducted using a structured questionnaire administered to 300 smallholder farmers randomly selected from villages around Lubumbashi and Kipushi, including the agricultural zone of Sambwa. Information collected from maize farmers includes: (1) demographic profile (gender, age, education, household size); (2) socioeconomic and farm characteristics (land tenure, cropland size, farming experience, financial support, off-farm employment, obstacles to using improved seeds, reasons for using improved seeds, and concerns about climate change); (3) farmers' networks (membership in agricultural associations, Village Savings and Loan Associations, sources of information, and seed supply channels); and (4) farmers' willingness to recommend these seeds to peers and barriers they face in accessing them. The raw data and codebook are available on Mendeley Data. The data will be reused in a detailed article to provide a deeper understanding of the factors and challenges associated with the uptake of agricultural innovations among smallholder farmers in the Katangese Copperbelt.

Indexed as

Agricultural innovationsFarmers’ profileHaut-KatangaHousehold surveyMaize improved varieties

Identifiers

PMID40521151
PMCPMC12164189

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.