Evidence map›Paper›PMID 41477491›Full record

ArticleHeliyon2025

Household level determinants of agroforestry practices adoption in rural Legambo district of northcentral Ethiopia.

Jemal Ali Mohammed, Zinet Alye Yimam

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Jemal Ali MohammedDepartment of Forestry, College of Agriculture and Natural Resources, Mekdela Amba University, Tulu Awuliya, Ethiopia.
Zinet Alye YimamDepartment of Forestry, College of Agriculture and Natural Resources, Mekdela Amba University, Tulu Awuliya, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unsustainable and intensive use of land resources driven by growing populations has accelerated land degradation and reduced agricultural productivity in developing countries, particularly in Ethiopia. Agroforestry practices (AFPs) have the potential to mitigate these challenges, yet their adoption by smallholder farmers remains limited. This study aimed to assess farmer perceptions, identify existing and adopted AFPs, and analyze the socio-economic factors influencing AFPs adoption in the Legambo district of northcentral Ethiopia. A mixed-methods approach was employed, utilizing structured questionnaires for household heads (HHs) and semi-structured questionnaires for key informant (KI) interviews and focus group discussions (FGDs). The collected data were analyzed using descriptive statistics and a binary logistic regression model for quantitative analysis, while qualitative data from KIs, FGDs were qualitatively narrated. The results revealed that while farmers had positive perceptions of AFPs, adoption rates varied across practices. Scattered trees on cropland, home gardens, and boundary plantations were the most widely adopted, while alley cropping had the lowest adoption. Socio-economic factors such as gender and livestock ownership significantly promoted AFP adoption (p < 0.05), while smaller land sizes, higher education levels, and young age groups posed challenges. These findings underscore the need for targeted interventions to address barriers to adoption, focusing on enhancing access to resources and knowledge for smallholder farmers. Policymakers and development agents should prioritize tailored support for vulnerable groups to expand AFP adoption, contributing to sustainable land management and agricultural resilience.

Indexed as

Agroforestry benefitsFarmers perceptionsHome gardenLogit modelSocio-economic variables

Identifiers

PMID41477491
PMCPMC11909435

What OpenQuestion holds

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LicenceCC BY
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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.