Using Carbon Stable Isotopes to Study C 3 and C 4 Photosynthesis: Models and Calculations.
| Autor: | Ubierna N; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Unité Mixte de Recherche (UMR)1391 ISPA, Villenave D'Ornon, France., Holloway-Phillips MM; Research Unit of Forest Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmendsorf, Switzerland., Wingate L; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Unité Mixte de Recherche (UMR)1391 ISPA, Villenave D'Ornon, France., Ogée J; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Unité Mixte de Recherche (UMR)1391 ISPA, Villenave D'Ornon, France., Busch FA; School of Biosciences and The Birmingham Institute of Forest Research, University of Birmingham, Birmingham, UK., Farquhar GD; Research School of Biology, Australian National University, Canberra, ACT, Australia. |
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| Jazyk: | angličtina |
| Zdroj: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2024; Vol. 2790, pp. 163-211. |
| DOI: | 10.1007/978-1-0716-3790-6_10 |
| Abstrakt: | Stable carbon isotopes are a powerful tool to study photosynthesis. Initial applications consisted of determining isotope ratios of plant biomass using mass spectrometry. Subsequently, theoretical models relating C isotope values to gas exchange characteristics were introduced and tested against instantaneous online measurements of 13 C photosynthetic discrimination. Beginning in the twenty-first century, laser absorption spectroscopes with sufficient precision for determining isotope mixing ratios became commercially available. This has allowed collection of large data sets at lower cost and with unprecedented temporal resolution. More data and accompanying knowledge have permitted refinement of 13 C discrimination model equations, but often at the expense of increased model complexity and difficult parametrization. This chapter describes instantaneous online measurements of 13 C photosynthetic discrimination, provides recommendations for experimental setup, and presents a thorough compilation of equations available to researchers. We update our previous 2018 version of this chapter by including recently improved descriptions of (photo)respiratory processes and associated fractionations. We discuss the capabilities and limitations of the diverse 13 C discrimination model equations and provide guidance for selecting the model complexity needed for different applications. (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.) |
| Databáze: | MEDLINE |
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