Paper · 2026 · Industrial Crops and Products

Optimal plant density increases cotton yield potential through high light use efficiency supported by regulating gene expression at middle and upper canopy

Yihan Liu; Zhangying Lei; Tong Zhang; et al.

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claims
14
verbatim quotes
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citations
3
research areas
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Open access · cc-by-nc-nd

Abstract

Appropriate plant density could optimize light distribution within canopy and improve light use efficiency (LUE). However, most cotton studies have merely focused on whole canopy, and lacking in-depth exploration of the underlying mechanisms by which plant density regulates LUE as well as the gene expression. A two-year field experiment was conducted to assess the effect of plant density (low density, LD; moderate density, MD; high density, HD) on canopy light distribution, photosynthesis and its relevant gene expression, LUE, and cotton yield in upper, middle and lower canopy. The results showed that cotton responded to an increase in plant density by enhancing leaf area index at upper canopy, which subsequently led to higher fractional interception of photosynthetically active radiation (FIPAR) and a decrease of FIPAR at middle and lower canopy both in 2024 and 2025. Furthermore, HD caused a decline in photosynthetic rate ( A N ), chlorophyll content, leaf area, and specific leaf weight, which were significantly lower than those under MD. More importantly, LD and MD consistently achieved the maximum biomass and yield in 2024 and 2025, and biomass-based light use efficiency (LUE B ) in each canopy under MD was higher than that under LD and HD. Meanwhile, random forest model showed that FIPAR played a dominant role in regulating the variation in LUE B , with A N coming second, and these variations were supported by regulating photosynthetic genes expression at different canopy layers under different densities. The partial least squares model indicated that yield is mainly influenced by LUE B and leaf photosynthesis. Overall, MD optimized canopy light distribution, fully exploited the photosynthetic productivity at middle and upper canopy, thereby enhancing LUE and yield potential. • Divide canopy into three layers by height to observe their responses to density. • Combine physiological measurements with gene expression level. • Random forest model and partial least squares model were used. • Canopy light distribution is key to regulating light use efficiency.

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Claims 14

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Increasing cotton density enhanced upper-canopy leaf area index.

Organ / stage
upper canopye0
Treatment
increase in plant densitye0
Outcome
leaf area indexe0
Direction
enhancinge0

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

“cotton responded to an increase in plant density by enhancing leaf area index at upper canopy”

✓ located verbatim in the source · abstract, characters 609–702 · show in text ↑
Mechanismauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Increased upper-canopy leaf area index led to higher upper-canopy FIPAR.

Outcome
fractional interception of photosynthetically active radiation (FIPAR)e0
Direction
highere0
Qualifier
enhancing leaf area index at upper canopye0

Not reportedTaxon

Verbatim

e0

“enhancing leaf area index at upper canopy, which subsequently led to higher fractional interception of photosynthetically active radiation (FIPAR)”

✓ located verbatim in the source · abstract, characters 661–807 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Increased density decreased FIPAR in middle and lower canopies in both years.

Organ / stage
middle and lower canopye0
Outcome
FIPARe0
Direction
decreasee0

Not reportedTaxonTreatmentComparator

Verbatim

e0

“a decrease of FIPAR at middle and lower canopy both in 2024 and 2025”

✓ located verbatim in the source · abstract, characters 812–880 · show in text ↑
Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

High density lowered photosynthetic rate, chlorophyll content and leaf area relative to moderate density.

Treatment
HDe0
Outcome
photosynthetic rate ( A N ), chlorophyll content, leaf areae0
Direction
declinee0
Comparator
MDe0

Not reportedTaxon

Verbatim

e0

“HD caused a decline in photosynthetic rate ( A N ), chlorophyll content, leaf area, and specific leaf weight, which were significantly lower than those under MD”

✓ located verbatim in the source · abstract, characters 895–1055 · show in text ↑
Intervention effectobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

High density lowered specific leaf weight relative to moderate density.

Treatment
HDe0
Outcome
specific leaf weighte0
Direction
declinee0
Comparator
MDe0

Not reportedTaxon

Verbatim

e0

“HD caused a decline in photosynthetic rate ( A N ), chlorophyll content, leaf area, and specific leaf weight, which were significantly lower than those under MD”

✓ located verbatim in the source · abstract, characters 895–1055 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Low and moderate density achieved maximum biomass in both years.

Treatment
LD and MDe0
Outcome
biomasse0
Direction
maximume0

Not reportedTaxonComparator

Verbatim

e0

“LD and MD consistently achieved the maximum biomass and yield in 2024 and 2025”

✓ located verbatim in the source · abstract, characters 1075–1153 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Low and moderate density achieved maximum yield in both years.

Treatment
LD and MDe0
Outcome
yielde0
Direction
maximume0

Not reportedTaxonComparator

Verbatim

e0

“LD and MD consistently achieved the maximum biomass and yield in 2024 and 2025”

✓ located verbatim in the source · abstract, characters 1075–1153 · show in text ↑
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Moderate density had higher biomass-based light use efficiency in each canopy than low and high density.

Treatment
MDe0
Outcome
biomass-based light use efficiency (LUE B )e0
Direction
highere0
Comparator
LD and HDe0

Not reportedTaxon

Verbatim

e0

“biomass-based light use efficiency (LUE B ) in each canopy under MD was higher than that under LD and HD”

✓ located verbatim in the source · abstract, characters 1159–1263 · show in text ↑
Associationobservedoriginal resultsimulated

Claim · model-written summary

FIPAR was the dominant predictor of variation in biomass-based light use efficiency.

Outcome
variation in LUE Be0
Qualifier
FIPARe0

Not reportedTaxonMaterialDirection

Verbatim

e0

“random forest model showed that FIPAR played a dominant role in regulating the variation in LUE B”

✓ located verbatim in the source · abstract, characters 1276–1373 · show in text ↑
Associationobservedoriginal resultsimulated

Claim · model-written summary

Photosynthetic rate ranked second in predicting biomass-based light use efficiency variation.

Outcome
variation in LUE Be0
Qualifier
A N coming seconde0

Not reportedTaxonMaterialDirection

Verbatim

e0

“FIPAR played a dominant role in regulating the variation in LUE B , with A N coming second”

✓ located verbatim in the source · abstract, characters 1308–1398 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Photosynthetic gene expression varied across canopy layers and planting densities in support of the light-use-efficiency pattern.

Organ / stage
different canopy layerse0
Treatment
different densitiese0
Outcome
photosynthetic genes expressione0

Not reportedTaxon

Verbatim

e0

“these variations were supported by regulating photosynthetic genes expression at different canopy layers under different densities”

✓ located verbatim in the source · abstract, characters 1404–1534 · show in text ↑
Associationobservedoriginal resultsimulated

Claim · model-written summary

The partial least squares model identified biomass-based light use efficiency and leaf photosynthesis as principal influences on yield.

Outcome
yielde0
Qualifier
LUE B and leaf photosynthesise0

Not reportedTaxonMaterialDirection

Verbatim

e0

“The partial least squares model indicated that yield is mainly influenced by LUE B and leaf photosynthesis”

✓ located verbatim in the source · abstract, characters 1536–1642 · show in text ↑
Intervention effectauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Moderate density optimized canopy light distribution and photosynthetic productivity in middle and upper canopies.

Treatment
MDe0
Outcome
canopy light distribution, fully exploited the photosynthetic productivitye0
Direction
optimizede0

Not reportedTaxonComparator

Verbatim

e0

“MD optimized canopy light distribution, fully exploited the photosynthetic productivity at middle and upper canopy”

✓ located verbatim in the source · abstract, characters 1653–1767 · show in text ↑
Intervention effectauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Moderate density enhanced light use efficiency and yield potential.

Outcome
LUE and yield potentiale0
Direction
enhancinge0

Not reportedTaxonTreatmentComparator

Verbatim

e0

“thereby enhancing LUE and yield potential”

✓ located verbatim in the source · abstract, characters 1769–1810 · show in text ↑

density · growth · Gossypium hirsutum (cotton)Positive and negative results

46 papers: 39 positive, 7 negative or no effect

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

  1. positive
  2. no effect
  3. no effect

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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.