Evidence map›Paper›PMID 40504830›Full record

ArticlePloS one2025

Assessment of potential land suitability for rainfed wheat production using GIS and multi criteria decision analysis in the Southwestern parts of Ethiopia.

Bacha Gebissa Negeri, Bai Xiuguang, Mitiku Badasa Moisa

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bacha Gebissa NegeriCollege of Economics and Management, Northwest A and F University, Yangling, Shaanxi, China.
Bai XiuguangCollege of Economics and Management, Northwest A and F University, Yangling, Shaanxi, China.
Mitiku Badasa MoisaDepartment of Earth Science, College of Natural and Computational Science, Wollega University, Nekemte Campus, Ethiopia.ORCID https://orcid.org/0000-0003-1788-0035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat production in Ethiopia is vital for improving food security, boosting the national economy, and achieving self-sufficiency in food consumption. The present study aims to assess the potential land suitability for rainfed wheat (Triticum aestivum L.) production by using Geographic Information System and multi criteria decision analysis in southwestern parts of Ethiopia. Biophysical data, including land use and land cover (LULC), soil drainage, soil texture, soil depth, proximity to markets and roads, land surface temperature, slope, rainfall, and elevation, were used. In addition, different software tools, such as ArcGIS 10.3, ERDAS Imagine 2015, IDRISI Selva 17, and ArcSWAT were applied. The results revealed that approximately 177.1 km² (1.3%) of the study area was classified as highly suitable, 5375.2 km² (38.2%) as moderately suitable, 7,246.0 km² (51.5%) as marginally suitable, and 1235.1 km² (8.8%) as currently not suitable for rainfed wheat cultivation. Furthermore, out of the 23 districts analyzed, Sayo Nole and Bedelle Zuriya were identified as highly suitable for wheat production, with an area of 32.7km2 and 23.3km2 respectively. Therefore, the study recommends that future study research investigate additional other ecological parameters, such as soil PH, lime, gypsum, salinity, alkalinity and socio-economic data, which were not included in the present study.

Indexed as

AgricultureDecision Support TechniquesGeographic Information SystemsTriticumCrops, AgriculturalEthiopiaRainSoilSoil

Identifiers

PMID40504830
PMCPMC12161582

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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.