Evidence map›Paper›PMID 40898041›Full record

ArticleBMC plant biology2025

Early-stage identification of heat-tolerant cotton genotypes under simulated episodic heat stress in controlled conditions.

Aqsa Ijaz, Muhammad Kashif Riaz Khan, Sajjad Haidar

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

3 authors.

Aqsa IjazNuclear Institute for Agriculture and Biology College (NIAB-C), Faisalabad, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan. aqsaijaz1995@gmail.com.
Muhammad Kashif Riaz KhanNuclear Institute for Agriculture and Biology College (NIAB-C), Faisalabad, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan.
Sajjad HaidarNuclear Institute for Agriculture and Biology College (NIAB-C), Faisalabad, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, 45650, Pakistan. sajjadhaidar_pk@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEscalating global temperatures pose an ongoing threat to cotton production by disrupting essential morphological, physiological, and metabolic processes during early plant development. These early stages are critical for crop establishment, yet the genetic basis of heat tolerance at this phase remains insufficiently characterized. Therefore, advancing our understanding of early-stage responses is essential for the development of heat-tolerant genotypes.

methodsA total of 79 cotton genotypes were assessed under controlled conditions and two elevated temperature treatments, HST-1 (45 °C) and HST-2 (48 °C), with emphasis on their morphological and physiological responses to heat stress under glasshouse conditions. Box plot was used to visualise trait distributions. Correlation analysis elucidated interrelationships among various traits. Principal component analysis (PCA) was conducted to reduce dimensionality and identify major axes of variation. The multi-trait genotype-ideotype distance index (MGIDI) was employed to rank genotypes based on overall performance.

resultsHeat stress significantly reduced shoot and root elongation, biomass accumulation, and relative water content, while increasing excised leaf water loss. Photosynthetic rate, stomatal conductance, and instantaneous water use efficiency declined markedly, although transpiration rate remained relatively stable. PCA effectively distinguished tolerant from susceptible genotypes and revealed key traits associated with tolerance, while MGIDI identified eight top performing lines: G1 (NIAB-377), G4 (NIAB-868), G8 (NIBGE-IR-15), G9 (NIAB-512 33/4), G39 (NIA-Noori), G67 (Cyto-535), G69 (NIAB-512), and G78 (SLH-01).

conclusionOur results show substantial genotypic variability in early-stage heat stress responses in cotton and establish a rigorous multivariate framework for trait-based selection. This integrative multivariate approach facilitates the targeted selection of thermo-tolerant genotypes with enhanced morphological and physiological traits, advancing the breeding of climate-resilient cotton.

Indexed as

GossypiumHeat-Shock ResponseThermotoleranceGenotypeHot TemperaturePrincipal Component AnalysisCottonHeat stressMGIDI indexPhotosynthesisRelative water contentSeedling

Identifiers

PMID40898041
PMCPMC12406437

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LicenceCC BY-NC-ND
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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.