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The acclimation of leaf photosynthesis of wheat and rice to seasonal temperature changes in T‐FACE environments.

Authors :
Cai, Chuang
Li, Gang
Di, Lijun
Ding, Yunjie
Fu, Lin
Guo, Xuanhe
Struik, Paul C.
Pan, Genxing
Li, Haozheng
Chen, Weiping
Luo, Weihong
Yin, Xinyou
Source :
Global Change Biology; Feb2020, Vol. 26 Issue 2, p539-556, 18p, 5 Charts, 5 Graphs
Publication Year :
2020

Abstract

Crops show considerable capacity to adjust their photosynthetic characteristics to seasonal changes in temperature. However, how photosynthesis acclimates to changes in seasonal temperature under future climate conditions has not been revealed. We measured leaf photosynthesis (An) of wheat (Triticum aestivum L.) and rice (Oryza sativa L.) grown under four combinations of two levels of CO2 (ambient and enriched up to 500 µmol/mol) and two levels of canopy temperature (ambient and increased by 1.5–2.0°C) in temperature by free‐air CO2 enrichment (T‐FACE) systems. Parameters of a biochemical C3‐photosynthesis model and of a stomatal conductance (gs) model were estimated for the four conditions and for several crop stages. Some biochemical parameters related to electron transport and most gs parameters showed acclimation to seasonal growth temperature in both crops. The acclimation response did not differ much between wheat and rice, nor among the four treatments of the T‐FACE systems, when the difference in the seasonal growth temperature was accounted for. The relationships between biochemical parameters and leaf nitrogen content were consistent across leaf ranks, developmental stages, and treatment conditions. The acclimation had a strong impact on gs model parameters: when parameter values of a particular stage were used, the model failed to correctly estimate gs values of other stages. Further analysis using the coupled gs–biochemical photosynthesis model showed that ignoring the acclimation effect did not result in critical errors in estimating leaf photosynthesis under future climate, as long as parameter values were measured or derived from data obtained before flowering. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13541013
Volume :
26
Issue :
2
Database :
Complementary Index
Journal :
Global Change Biology
Publication Type :
Academic Journal
Accession number :
141781668
Full Text :
https://doi.org/10.1111/gcb.14830