Paper · 2026 · Plant Growth Regulation

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

Zafran Khan; Nimra Gul; Maria Riaz; et al.

13
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25
verbatim quotes
1
citations
3
research areas
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Open access · cc-by-nc-nd

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.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-nd. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 13

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Drought reduced root traits and osmolytes.

Treatment
Droughte0
Outcome
root traits and osmolytese0
Direction
reducede0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Drought primarily reduced root traits and osmolytes”

✓ located verbatim in the source · abstract, characters 665–716 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Heat caused pigment and protein degradation.

Treatment
heate0
Outcome
pigment and protein degradatione0

Not reportedComparatorDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“heat caused pigment and protein degradation”

✓ located verbatim in the source · abstract, characters 718–761 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Combined stress suppressed RWC, APX and Chl.a.

Treatment
Combined stress (DHS)e0
Outcome
RWC, APX, Chl.ae0
Direction
suppressione0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Combined stress (DHS) triggered compounded suppression in RWC, APX, Chl.a, and biomass”

✓ located verbatim in the source · abstract, characters 763–849 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Combined stress suppressed biomass.

Treatment
Combined stress (DHS)e0
Outcome
biomasse0
Direction
suppressione0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Combined stress (DHS) triggered compounded suppression in RWC, APX, Chl.a, and biomass”

✓ located verbatim in the source · abstract, characters 763–849 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Antioxidant activities were non-monotonic at peak stress.

Outcome
Antioxidant activitiese0
Direction
non-monotonice0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Antioxidant activities were non-monotonic at peak stress”

✓ located verbatim in the source · abstract, characters 891–947 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Genotype by stress interactions were significant.

Material
genotypee0
Outcome
genotype × stress interactionse0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Mean squares and standard deviations revealed significant genotype × stress interactions”

✓ located verbatim in the source · abstract, characters 1104–1192 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Cluster analysis separated genotypes into three tolerance categories.

Outcome
tolerance categoriese0
Value
threee0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Cluster analysis and dendrograms grouped genotypes into three distinct tolerance categories”

✓ located verbatim in the source · abstract, characters 1194–1285 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Discriminant Function Analysis separated genotypes by multi-trait performance.

Outcome
multi-trait performancee0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Discriminant Function Analysis effectively separated genotypes based on multi-trait performance”

✓ located verbatim in the source · abstract, characters 1287–1382 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

PCA identified RWC, Chl.a, APX and root dry weight as key tolerance discriminators.

Outcome
key discriminators of tolerancee0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Principal Component Analysis (PCA) identified RWC, Chl.a, APX, and root dry weight as key discriminators of tolerance”

✓ located verbatim in the source · abstract, characters 1384–1501 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

G2 (MNH-886) was among the most tolerant genotypes.

Material
G2 (MNH-886)e0
Outcome
most tolerante0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Genotypes G2 (MNH-886), G10 (NIAB-545), and G14 (MNH-988) emerged as the most tolerant”

✓ located verbatim in the source · abstract, characters 1682–1768 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

G10 (NIAB-545) was among the most tolerant genotypes.

Material
G10 (NIAB-545)e0
Outcome
most tolerante0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Genotypes G2 (MNH-886), G10 (NIAB-545), and G14 (MNH-988) emerged as the most tolerant”

✓ located verbatim in the source · abstract, characters 1682–1768 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

G14 (MNH-988) was among the most tolerant genotypes.

Material
G14 (MNH-988)e0
Outcome
most tolerante0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Genotypes G2 (MNH-886), G10 (NIAB-545), and G14 (MNH-988) emerged as the most tolerant”

✓ located verbatim in the source · abstract, characters 1682–1768 · show in text ↑
t0

“cotton”

✓ located verbatim in the source · title, characters 32–38 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors recommend seedling-stage multivariate screening for early selection.

Outcome
early selection of climate-resilient cottone0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Seedling-stage screening, coupled with a targeted multivariate panel, enables early selection of climate-resilient cotton under combined stress”

✓ located verbatim in the source · abstract, characters 1770–1913 · show in text ↑

heat · physiology: pigments · Gossypium hirsutum (cotton)Results differ

5 papers: 1 positive, 4 negative or no effect

3 papers in the same direction as this paper · 1 in the opposite direction

  1. positive
  2. negative
  3. negative

1 paper more in this group

See all 5 papers →

drought · physiology: osmolytes · Gossypium hirsutum (cotton)Results differ

11 papers: 7 positive, 4 negative or no effect

3 papers in the same direction as this paper · 7 in the opposite direction

  1. positive
  2. positive
  3. positive

7 papers more in this group

See all 11 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.