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Asymmetrical effects of mesophyll conductance on fundamental photosynthetic parameters and their relationships estimated from leaf gas exchange measurements
University of Texas at Austin, Austin, USA.
Oak Ridge National Laboratory, USA.
University of Texas at Austin, USA.
University of Missouri, USA.
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2014 (English)In: Plant, Cell and Environment, ISSN 0140-7791, E-ISSN 1365-3040, Vol. 37, no 4, p. 978-994Article in journal (Refereed) Published
Abstract [en]

Worldwide measurements of nearly 130 C3 species covering all major plant functional types are analysed in conjunction with model simulations to determine the effects of mesophyll conductance (gm) on photosynthetic parameters and their relationships estimated fromA/Ci curves. We find that an assumption of infinite gm results in up to 75% underestimation for maximum carboxylation rate Vcmax, 60% for maximum electron transport rate Jmax, and 40% for triose phosphate utilization rate TuVcmax is most sensitive, Jmax is less sensitive, and Tuhas the least sensitivity to the variation of gm. Because of this asymmetrical effect of gm, the ratios of Jmax to VcmaxTu to Vcmax and Tu toJmax are all overestimated. An infinite gm assumption also limits the freedom of variation of estimated parameters and artificially constrains parameter relationships to stronger shapes. These findings suggest the importance of quantifying gm for understanding in situphotosynthetic machinery functioning. We show that a nonzero resistance to CO2 movement in chloroplasts has small effects on estimated parameters. A non-linear function with gm as input is developed to convert the parameters estimated under an assumption of infinite gm to proper values. This function will facilitate gm representation in global carbon cycle models.

Place, publisher, year, edition, pages
John Wiley & Sons, 2014. Vol. 37, no 4, p. 978-994
Keywords [en]
A/Ci curves; carbon cycle model; leaf photosynthesis; LeafWeb; parameter estimation
National Category
Botany Forest Science
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-41894DOI: 10.1111/pce.12213OAI: oai:DiVA.org:lnu-41894DiVA, id: diva2:801259
Available from: 2015-04-08 Created: 2015-04-08 Last updated: 2019-05-20Bibliographically approved

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Publisher's full texthttp://onlinelibrary.wiley.com/doi/10.1111/pce.12213/abstract

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Jensen, Anna M.

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