Thermal regulation shapes the coordination of stomatal conductance, transpiration, and photosynthesis in rice

Clicks: 2
ID: 330050
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #341 of 345 articles by views in Journal of experimental botany

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 345 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Heat-stress driven by global warming alters rice (Oryza sativa) water-use dynamics. To assess adaptive water-use strategies under elevated air temperature, we conducted a three-year whole-season experiment in natural light climate chambers with ambient, +1 °C, +2 °C, and +5 °C warming treatments. Stomatal conductance (gs), transpiration rate (E), net photosynthetic rate (An) and leaf developmental dynamics were continuously measured across growth stages. Above the photosynthetic optimum leaf temperature (Tleaf-opt-An = 30.8 °C), An declined while gs increased. The increase in gs accelerated beyond a critical threshold (Tleaf-crit = 34.2). This stomatal-photosynthetic decoupling was associated with enhanced transpiration and evaporative cooling. During the reproductive stage, heat stress constrained grain-filling sink capacity and delayed leaf senescence, sustaining higher An, gs and E. Rice exhibits heat-induced shifts in the coordination among carbon assimilation, stomatal behaviour, and water use, while source-sink dynamics under heat-stress further modulated carbon assimilation and water consumption. Incorporating these mechanisms into land surface models is essential for more reliable predictions under global warming scenarios.
Reference Key
openalex_W7214647933 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yanchao Zhao, Jingwei Wu, Víctor Flo, Jing Wang, Qisen Zhang, Maurizio Mencuccini
Journal Journal of experimental botany
Year 2026
DOI
10.1093/jxb/erag484
URL
https://doi.org/10.1093/jxb/erag484
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.