Literature DB >> 19357431

Estimating mesophyll conductance to CO2: methodology, potential errors, and recommendations.

Thijs L Pons1, Jaume Flexas, Susanne von Caemmerer, John R Evans, Bernard Genty, Miquel Ribas-Carbo, Enrico Brugnoli.   

Abstract

The three most commonly used methods for estimating mesophyll conductance (g(m)) are described. They are based on gas exchange measurements either (i) by themselves; (ii) in combination with chlorophyll fluorescence quenching analysis; or (iii) in combination with discrimination against (13)CO(2). To obtain reliable estimates of g(m), the highest possible accuracy of gas exchange is required, particularly when using small leaf chambers. While there may be problems in achieving a high accuracy with leaf chambers that clamp onto a leaf with gaskets, guidelines are provided for making necessary corrections that increase reliability. All methods also rely on models for the calculation of g(m) and are sensitive to variation in the values of the model parameters. The sensitivity to these factors and to measurement error is analysed and ways to obtain the most reliable g(m) values are discussed. Small leaf areas can best be measured using one of the fluorescence methods. When larger leaf areas can be measured in larger chambers, the online isotopic methods are preferred. Using the large CO(2) draw-down provided by big chambers, and the isotopic method, is particularly important when measuring leaves with high g(m) that have a small difference in [CO(2)] between the substomatal cavity and the site of carboxylation in the chloroplast (C(i)-C(c) gradient). However, equipment for the fluorescence methods is more easily accessible. Carbon isotope discrimination can also be measured in recently synthesized carbohydrates, which has its advantages under field conditions when large number of samples must be processed. The curve-fitting method that uses gas exchange measurements only is not preferred and should only be used when no alternative is available. Since all methods have their weaknesses, the use of two methods for the estimation of g(m), which are as independent as possible, is recommended.

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Year:  2009        PMID: 19357431     DOI: 10.1093/jxb/erp081

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  61 in total

1.  Leaf functional anatomy in relation to photosynthesis.

Authors:  Ichiro Terashima; Yuko T Hanba; Danny Tholen; Ülo Niinemets
Journal:  Plant Physiol       Date:  2010-11-12       Impact factor: 8.340

2.  A high-performance system of multiple gas-exchange chambers with a laser spectrometer to estimate leaf photosynthesis, stomatal conductance, and mesophyll conductance.

Authors:  Seiichiro Yonemura; Naomi Kodama; Yojiro Taniguchi; Hiroki Ikawa; Shunsuke Adachi; Yuko T Hanba
Journal:  J Plant Res       Date:  2019-07-30       Impact factor: 2.629

3.  Hpa1 harpin needs nitroxyl terminus to promote vegetative growth and leaf photosynthesis in Arabidopsis.

Authors:  Xiaojie Li; Liping Han; Yanying Zhao; Zhenzhen You; Hansong Dong; Chunling Zhang
Journal:  J Biosci       Date:  2014-03       Impact factor: 1.826

4.  Effect of Vapor Pressure Deficit on Gas Exchange in Wild-Type and Abscisic Acid-Insensitive Plants.

Authors:  Lucas A Cernusak; Gregory R Goldsmith; Matthias Arend; Rolf T W Siegwolf
Journal:  Plant Physiol       Date:  2019-09-27       Impact factor: 8.340

5.  Low assimilation efficiency of photorespiratory ammonia in conifer leaves.

Authors:  Shin-Ichi Miyazawa; Mitsuru Nishiguchi; Norihiro Futamura; Tomohisa Yukawa; Mitsue Miyao; Tsuyoshi Emilio Maruyama; Takayuki Kawahara
Journal:  J Plant Res       Date:  2018-06-09       Impact factor: 2.629

Review 6.  Why small fluxes matter: the case and approaches for improving measurements of photosynthesis and (photo)respiration.

Authors:  David T Hanson; Samantha S Stutz; John S Boyer
Journal:  J Exp Bot       Date:  2016-04-19       Impact factor: 6.992

7.  Rubisco Catalytic Properties and Temperature Response in Crops.

Authors:  Carmen Hermida-Carrera; Maxim V Kapralov; Jeroni Galmés
Journal:  Plant Physiol       Date:  2016-06-21       Impact factor: 8.340

8.  The mechanistic basis of internal conductance: a theoretical analysis of mesophyll cell photosynthesis and CO2 diffusion.

Authors:  Danny Tholen; Xin-Guang Zhu
Journal:  Plant Physiol       Date:  2011-03-25       Impact factor: 8.340

9.  Influence of diurnal variation in mesophyll conductance on modelled 13C discrimination: results from a field study.

Authors:  Christopher P Bickford; David T Hanson; Nate G McDowell
Journal:  J Exp Bot       Date:  2010-05-25       Impact factor: 6.992

Review 10.  Relationships of Leaf Net Photosynthesis, Stomatal Conductance, and Mesophyll Conductance to Primary Metabolism: A Multispecies Meta-Analysis Approach.

Authors:  Jorge Gago; Danilo de Menezes Daloso; Carlos María Figueroa; Jaume Flexas; Alisdair Robert Fernie; Zoran Nikoloski
Journal:  Plant Physiol       Date:  2016-03-14       Impact factor: 8.340

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