Evidence map›Paper›PMID 39890972›Full record

ArticleScientific reports2025

Long-term impact of different prevalent cropping systems on soil physico-chemical characteristics under subtropical climate conditions of Punjab, Pakistan.

Fahad Ali Fayyaz, Irfan Aziz, Muhammad Ansar, Muhammad Akmal, Saud Alamri, Alanoud T Alfagham, Renata Gamrat, Abdul Qayyum

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Fahad Ali FayyazDepartment of Agronomy, Pir Mehr Ali Shah-Arid Agriculture University Rawalpindi, Rawalpindi, 46300, Pakistan.
Irfan AzizDepartment of Agronomy, Pir Mehr Ali Shah-Arid Agriculture University Rawalpindi, Rawalpindi, 46300, Pakistan. irfan.aziz@uaar.edu.pk.
Muhammad AnsarDepartment of Agronomy, Pir Mehr Ali Shah-Arid Agriculture University Rawalpindi, Rawalpindi, 46300, Pakistan.
Muhammad AkmalInstitute of Soil and Environmental Science, Pir Mehr Ali Shah-Arid Agriculture University Rawalpindi, Rawalpindi, 46300, Pakistan.
Saud AlamriDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Alanoud T AlfaghamDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Renata GamratDepartment of Environmental Management, West Pomeranian University of Technology in Szczecin, Słowackiego 17 Street, 71-434, Szczecin, Poland.
Abdul QayyumDepartment of Agronomy, The University of Haripur, Haripur, 22620, Pakistan. aqayyum@uoh.edu.pk.

Funding

King Saud University RSP2025R194
6 · The paper itself

Abstract

Lack of site-specific nutrients information for different cropping systems has been a major challenge in addressing declining soil fertility levels and enhance crop productivity in Punjab, Pakistan. Therefore, the study was designed to assess and quantify soil physico-chemical characteristics, crop yield and economic feasibility of different cropping systems (CS), including groundnut-wheat (G-W), rice-wheat (R-W), fallow-gram/wheat (F-G/W), mix cropping (Mix C) and cotton-wheat (C-W). A total of 470 georeferenced soil samples were collected using a random survey approach, and the samples were analyzed for soil texture, pH, electrical conductivity (EC), organic matter percentage (OM), total nitrogen percentage (TN), accessible phosphorus (AvP) (mg kg

Indexed as

Cropping systemMultivariate analysisSoil mappingSoil nutrients

Identifiers

PMID39890972
PMCPMC11785959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.