Evidence map›Paper›PMID 41413139›Full record

ArticleScientific reports2025

Deciphering drought tolerance in cotton genotypes through integrated morpho-physiological and biochemical markers at flowering stage.

Muhammad Yousaf Shani, Allah Ditta, Muhammad Kashif Riaz Khan, Mehdi Rahimi

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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 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

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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

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

4 authors.

Muhammad Yousaf ShaniPlant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38000, Pakistan.
Allah DittaPlant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38000, Pakistan.
Muhammad Kashif Riaz KhanPlant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38000, Pakistan. mkrkhan@gmail.com.
Mehdi RahimiDepartment of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran. mehdi83ra@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought stress is one of the major abiotic factors that severely limits global cotton yield by disrupting essential morpho-physiological and biochemical functions. In this study, forty genetically diverse cotton genotypes were evaluated under three irrigation levels: control (100% field capacity), moderate (60% FC), and severe drought (40% FC), during the flowering stage in a controlled glasshouse environment. Increasing drought intensity led to a gradual decline in growth and physiological attributes. Severe stress reduced shoot and root lengths by 61% and 52%, respectively, compared with the control. Similarly, the photosynthetic rate and relative water content decreased by 60% and 32%. Conversely, stress-induced biochemical responses intensified, with proline content rising by 57% and superoxide dismutase activity increasing 2.3-fold under severe drought, reflecting enhanced osmotic adjustment and antioxidant defense. Principal Component Analysis (PCA) helps to identify the variability patterns among all the analyzed traits, while Pearson correlation analysis and heatmap analysis are useful for evaluating the positive and negative relationships between the studied attributes and for visualizing the clustering patterns of the cotton accessions. In addition, the multi-trait genotype-ideotype distance index (MGIDI) identified genotypes G

Indexed as

Adaptation, PhysiologicalDroughtsFlowersGossypiumBiomarkersDrought ResistanceGenotypePhotosynthesisProlineStress, PhysiologicalBiomarkersProlineCottonHistogramsMGIDIPCAPhysio-biochemicalWater scarcity

Identifiers

PMID41413139
PMCPMC12714781

What Socratic holds

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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 Socratic graph.