Literature DB >> 16913868

Long-term growth of soybean at elevated [CO2] does not cause acclimation of stomatal conductance under fully open-air conditions.

Andrew D B Leakey1, Carl J Bernacchi, Donald R Ort, Stephen P Long.   

Abstract

Accurately predicting plant function and global biogeochemical cycles later in this century will be complicated if stomatal conductance (g(s)) acclimates to growth at elevated [CO(2)], in the sense of a long-term alteration of the response of g(s) to [CO(2)], humidity (h) and/or photosynthetic rate (A). If so, photosynthetic and stomatal models will require parameterization at each growth [CO(2)] of interest. Photosynthetic acclimation to long-term growth at elevated [CO(2)] occurs frequently. Acclimation of g(s) has rarely been examined, even though stomatal density commonly changes with growth [CO(2)]. Soybean was grown under field conditions at ambient [CO(2)] (378 micromol mol(-1)) and elevated [CO(2)] (552 micromol mol(-1)) using free-air [CO(2)] enrichment (FACE). This study tested for stomatal acclimation by parameterizing and validating the widely used Ball et al. model (1987, Progress in Photosynthesis Research, vol IV, 221-224) with measurements of leaf gas exchange. The dependence of g(s) on A, h and [CO(2)] at the leaf surface was unaltered by long-term growth at elevated [CO(2)]. This suggests that the commonly observed decrease in g(s) under elevated [CO(2)] is due entirely to the direct instantaneous effect of [CO(2)] on g(s) and that there is no longer-term acclimation of g(s) independent of photosynthetic acclimation. The model accurately predicted g(s) for soybean growing under ambient and elevated [CO(2)] in the field. Model parameters under ambient and elevated [CO(2)] were indistinguishable, demonstrating that stomatal function under ambient and elevated [CO(2)] could be modelled without the need for parameterization at each growth [CO(2)].

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Year:  2006        PMID: 16913868     DOI: 10.1111/j.1365-3040.2006.01556.x

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  15 in total

1.  Decreases in stomatal conductance of soybean under open-air elevation of [CO2] are closely coupled with decreases in ecosystem evapotranspiration.

Authors:  Carl J Bernacchi; Bruce A Kimball; Devin R Quarles; Stephen P Long; Donald R Ort
Journal:  Plant Physiol       Date:  2006-11-17       Impact factor: 8.340

2.  A Novel Hypothesis for the Role of Photosynthetic Physiology in Shaping Macroevolutionary Patterns.

Authors:  Charilaos Yiotis; Jennifer C McElwain
Journal:  Plant Physiol       Date:  2019-09-04       Impact factor: 8.340

3.  Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil.

Authors:  R Battisti; P C Sentelhas; K J Boote
Journal:  Int J Biometeorol       Date:  2017-12-02       Impact factor: 3.787

4.  Increasing stomatal conductance in response to rising atmospheric CO2.

Authors:  C Purcell; S P Batke; C Yiotis; R Caballero; W K Soh; M Murray; J C McElwain
Journal:  Ann Bot       Date:  2018-05-11       Impact factor: 4.357

5.  Altered physiological function, not structure, drives increased radiation-use efficiency of soybean grown at elevated CO2.

Authors:  Uwe Rascher; Bernhard Biskup; Andrew D B Leakey; Justin M McGrath; Elizabeth A Ainsworth
Journal:  Photosynth Res       Date:  2010-04-21       Impact factor: 3.573

6.  Improving ecophysiological simulation models to predict the impact of elevated atmospheric CO(2) concentration on crop productivity.

Authors:  Xinyou Yin
Journal:  Ann Bot       Date:  2013-02-06       Impact factor: 4.357

7.  Soybean leaf hydraulic conductance does not acclimate to growth at elevated [CO2] or temperature in growth chambers or in the field.

Authors:  Anna M Locke; Lawren Sack; Carl J Bernacchi; Donald R Ort
Journal:  Ann Bot       Date:  2013-07-16       Impact factor: 4.357

Review 8.  Elevated-CO2 Response of Stomata and Its Dependence on Environmental Factors.

Authors:  Zhenzhu Xu; Yanling Jiang; Bingrui Jia; Guangsheng Zhou
Journal:  Front Plant Sci       Date:  2016-05-13       Impact factor: 5.753

9.  Simulation of Stomatal Conductance and Water Use Efficiency of Tomato Leaves Exposed to Different Irrigation Regimes and Air CO2 Concentrations by a Modified "Ball-Berry" Model.

Authors:  Zhenhua Wei; Taisheng Du; Xiangnan Li; Liang Fang; Fulai Liu
Journal:  Front Plant Sci       Date:  2018-04-09       Impact factor: 5.753

10.  Leaf hydraulic conductance declines in coordination with photosynthesis, transpiration and leaf water status as soybean leaves age regardless of soil moisture.

Authors:  Anna M Locke; Donald R Ort
Journal:  J Exp Bot       Date:  2014-10-03       Impact factor: 6.992

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