Evidence map›Paper›PMID 40781091›Full record

ArticleScientific data2025

Baseline high-resolution maps of soil nutrients in Morocco to support sustainable agriculture.

Yassine Bouslihim, Abdelkrim Bouasria, Ahmed Jelloul, Lotfi Khiari, Sara Dahhani, Rachid Mrabet, Rachid Moussadek

Abstract read
In one paragraph

Article in Scientific data, 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

7 authors.

Yassine BouslihimNational Institute of Agricultural Research, INRA, Rabat, Morocco. yassine.bouslihim@gmail.com.ORCID http://orcid.org/0000-0002-3666-1850
Abdelkrim BouasriaChouaib Doukkali University, El Jadida, Morocco.ORCID http://orcid.org/0000-0002-9101-6520
Ahmed JelloulDepartment of Soil Science and Agrifood Engineering, Laval University, Quebec, QC, Canada.
Lotfi KhiariDepartment of Soil Science and Agrifood Engineering, Laval University, Quebec, QC, Canada.
Sara DahhaniFaculty of Sciences Ben M'sik, Hassan II University of Casablanca, Casablanca, Morocco.
Rachid MrabetNational Institute of Agricultural Research, INRA, Rabat, Morocco.
Rachid MoussadekNational Institute of Agricultural Research, INRA, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorus (P) and potassium (K) are essential fertilizer elements whose recommendations require soil analysis tailored to crop-specific needs. However, in developing countries like Morocco, access to open databases on nutrient bioavailability remains limited, hindering data-driven agricultural strategies. This paper presents the first national reference maps of available P and exchangeable K at 250 m resolution over Morocco's croplands using digital soil mapping with machine learning algorithms and environmental covariates. Unlike previous efforts employing traditional interpolation methods, these maps were developed using Random Forest by integrating 5,276 soil samples for P and 6,978 for K with 76 environmental covariates representing climate, topography, vegetation, and parent material. Model validation using independent test datasets demonstrated strong performance, with R

Identifiers

PMID40781091
PMCPMC12334725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.