Evidence map›Paper›PMID 40182294›Full record

ArticleFrontiers in microbiology2025

PGPR and nutrient consortia promoted cotton growth, antioxidant enzymes, and mineral uptake by suppressing sooty mold in arid climate.

Muhammad Luqman, Maqshoof Ahmad, Abubakar Dar, Azhar Hussain, Usman Zulfiqar, Muhammad Zahid Mumtaz, Adnan Mustafa, Abd El-Zaher M A Mustafa, Mohamed S Elshikh

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Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

Who cites it

7 citing papers in PubMed.

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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

9 authors.

Muhammad LuqmanDepartment of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Maqshoof AhmadDepartment of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Abubakar DarDepartment of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Azhar HussainDepartment of Soil Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Usman ZulfiqarDepartment of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Muhammad Zahid MumtazInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Adnan MustafaSouth China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
Abd El-Zaher M A MustafaDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Mohamed S ElshikhDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cotton ( Methodology: A consortium of Results: The results depicted a significant increase in antioxidant activities of 19% in superoxide dismutase (SOD), 29% peroxidase (POX), 28% peroxidase dismutase (POD), and 14% catalase (CAT) activity under T6 as compared to control. Similarly, growth parameters substantially improved root length (39%), shoot length (19%), and root and shoot biomass by up to 31 and 20%, respectively, under T6. Moreover, the yield attributes like single boll weight and lint percentage were also enhanced by 32 and 13%, respectively, under the integration. In contrast, the PGPR consortium demonstrated considerable biocontrol potential against sooty mold, as disease incidence was reduced by 68% in cotton, the disease index was 75%, and control efficacy reached 75%. The PGPR consortium also substantially improved post-harvest soil biological and chemical properties, including bacterial populations, microbial biomass nitrogen, organic matter, and essential nutrient availability. Discussion: So, these findings witnessed the dual behavior of the

Indexed as

balanced nutritionnutrient uptakePGPRsooty moldsustainable agriculture

Identifiers

PMID40182294
PMCPMC11965598

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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.