Oxidative-window homeostasis in cotton under drought and heat defines climate resilience and guides genotype selection via the ROS-threshold model

Climate change has intensified the frequency of simultaneous drought and heat stress, posing a major threat to cotton productivity. This study aimed to evaluate the morpho-physiological and biochemical responses of 40 upland cotton genotypes at the seedling stage, an efficient phase for early stress screening. The experiment was conducted in a controlled environment, with stress treatments (control, drought, heat, combined) replicated thrice. Twenty traits, including shoot/root length, biomass, relative water content (RWC), chlorophyll pigments, proline, total soluble proteins, antioxidant enzymes (SOD, POD, CAT, APX), and oxidative markers, were measured. Drought primarily reduced root traits and osmolytes; heat caused pigment and protein degradation. Combined stress (DHS) triggered compounded suppression in RWC, APX, Chl.a, and biomass, indicating synergistic cellular injury. Antioxidant activities were non-monotonic at peak stress, supporting the ROS-threshold ‘oxidative window’ model, stating that antioxidant activities did not increase monotonically at the highest stress intensity. Mean squares and standard deviations revealed significant genotype × stress interactions. Cluster analysis and dendrograms grouped genotypes into three distinct tolerance categories. Discriminant Function Analysis effectively separated genotypes based on multi-trait performance. Principal Component Analysis (PCA) identified RWC, Chl.a, APX, and root dry weight as key discriminators of tolerance. These discriminators are consistent with genotypes that maintain ROS within an optimal signaling window, sustaining detox capacity (e.g., APX) and water/pigment status under DHS. Genotypes G2 (MNH-886), G10 (NIAB-545), and G14 (MNH-988) emerged as the most tolerant. Seedling-stage screening, coupled with a targeted multivariate panel, enables early selection of climate-resilient cotton under combined stress.

Authors

Institutions

Publication Details

Journal
Plant Growth Regulation
Published
2026-02-03
DOI
https://doi.org/10.1007/s10725-025-01407-2
Primary Topic
Plant Stress Responses and Tolerance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oxidative-window homeostasis in cotton under drought and heat defines climate resilience and guides genotype selection via the ROS-threshold model

Daniel K. Y. Tan, Maria Riaz, Zafran Khan, Mazhar Tariq et al.
Plant Growth Regulation
Plant Stress Responses and Tolerance
article

Oxidative-window homeostasis in cotton under drought and heat defines climate resilience and guides genotype selection via the ROS-threshold model

Daniel K. Y. Tan, Maria Riaz, Zafran Khan, Mazhar Tariq, Nimra Gul, Azeem Iqbal Khan, Amir Shakeel, Bakhtawar Zubair
article en

Abstract

Climate change has intensified the frequency of simultaneous drought and heat stress, posing a major threat to cotton productivity. This study aimed to evaluate the morpho-physiological and biochemical responses of 40 upland cotton genotypes at the seedling stage, an efficient phase for early stress screening. The experiment was conducted in a controlled environment, with stress treatments (control, drought, heat, combined) replicated thrice. Twenty traits, including shoot/root length, biomass, relative water content (RWC), chlorophyll pigments, proline, total soluble proteins, antioxidant enzymes (SOD, POD, CAT, APX), and oxidative markers, were measured. Drought primarily reduced root traits and osmolytes; heat caused pigment and protein degradation. Combined stress (DHS) triggered compounded suppression in RWC, APX, Chl.a, and biomass, indicating synergistic cellular injury. Antioxidant activities were non-monotonic at peak stress, supporting the ROS-threshold ‘oxidative window’ model, stating that antioxidant activities did not increase monotonically at the highest stress intensity. Mean squares and standard deviations revealed significant genotype × stress interactions. Cluster analysis and dendrograms grouped genotypes into three distinct tolerance categories. Discriminant Function Analysis effectively separated genotypes based on multi-trait performance. Principal Component Analysis (PCA) identified RWC, Chl.a, APX, and root dry weight as key discriminators of tolerance. These discriminators are consistent with genotypes that maintain ROS within an optimal signaling window, sustaining detox capacity (e.g., APX) and water/pigment status under DHS. Genotypes G2 (MNH-886), G10 (NIAB-545), and G14 (MNH-988) emerged as the most tolerant. Seedling-stage screening, coupled with a targeted multivariate panel, enables early selection of climate-resilient cotton under combined stress.

Plant Growth RegulationVol. 106(1)
The University of Sydney (AU), Institute of Plant Genetics, Polish Academy of Sciences (PL), University of Faisalabad (PK), University of Agriculture Faisalabad (PK)
Alberta Agricultural Research Institute, University of Agriculture, Faisalabad
Climate action
Openalex Percentile: Top 68%
Plant Stress Responses and Tolerance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.