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Non-structural carbohydrates in woody plants compared among laboratories

Quentin Audrey G., Pinkard Elizabeth A., Ryan Michael G., Tissue David T., Baggett L. Scott, Adams Henry D., Maillard Pascale, Marchand Jacqueline, Landhäusser Simon M., Lacointe André, Gibon Yves, Anderegg William R.L., Asao Shinichi, Atkin Owen K., Bonhomme Marc, Claye Caroline, Chow Pak S., Clément-Vidal Anne, Davies Noel W., Dickman L.Turin, Dumbur Rita, Ellsworth David S., Falk Kristen, Galiano Lucía, Grünzweig José M., Hartmann Henrik Andreas, Hoch Günter, Hood Sharon, Jones Joanna E., Koike Takayoshi, Kuhlmann Iris, Lloret Francisco, Maestro Melchor, Mansfield Shawn D., Martínez-Vilalta Jordi, Maucourt Mickael, McDowell Nathan G., Moing Annick, Muller Bertrand, Nebauer Sergio G., Niinemets Ulo, Palacio Sara, Piper Frida, Raveh Eran, Richter Andreas, Rolland Gaëlle, Rosas Teresa, Saint Joanis Brigitte, Sala Anna, Smith Renee A., Sterck Frank J., Stinziano Joseph R., Tobias Mari, Unda Faride, Watanabe Makoto, Way Danielle A., Weerasinghe Lasantha K., Wild Birgit, Wiley Erin, Woodruff David R.. 2015. Non-structural carbohydrates in woody plants compared among laboratories. Tree Physiology, 35 (11) : pp. 1146-1165.

Journal article ; Article de revue à facteur d'impact
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Quartile : Outlier, Sujet : FORESTRY

Additional Information : Des fichiers de données complémentaires sont accessibles dans l'article : http://treephys.oxfordjournals.org/content/early/2015/09/29/treephys.tpv073/suppl/DC1

Abstract : Non-structural carbohydrates (NSC) in plant tissue are frequently quantified to make inferences about plant responses to environmental conditions. Laboratories publishing estimates of NSC of woody plants use many different methods to evaluate NSC. We asked whether NSC estimates in the recent literature could be quantitatively compared among studies. We also asked whether any differences among laboratories were related to the extraction and quantification methods used to determine starch and sugar concentrations. These questions were addressed by sending sub-samples collected from five woody plant tissues, which varied in NSC content and chemical composition, to 29 laboratories. Each laboratory analyzed the samples with their laboratory-specific protocols, based on recent publications, to determine concentrations of soluble sugars, starch and their sum, total NSC. Laboratory estimates differed substantially for all samples. For example, estimates for Eucalyptus globulus leaves (EGL) varied from 23 to 116 (mean = 56) mg g−1 for soluble sugars, 6–533 (mean = 94) mg g−1 for starch and 53–649 (mean = 153) mg g−1 for total NSC. Mixed model analysis of variance showed that much of the variability among laboratories was unrelated to the categories we used for extraction and quantification methods (method category R2 = 0.05–0.12 for soluble sugars, 0.10–0.33 for starch and 0.01–0.09 for total NSC). For EGL, the difference between the highest and lowest least squares means for categories in the mixed model analysis was 33 mg g−1 for total NSC, compared with the range of laboratory estimates of 596 mg g−1. Laboratories were reasonably consistent in their ranks of estimates among tissues for starch (r = 0.41–0.91), but less so for total NSC (r = 0.45–0.84) and soluble sugars (r = 0.11–0.83). Our results show that NSC estimates for woody plant tissues cannot be compared among laboratories. The relative changes in NSC between treatments measured within a laboratory may be comparable within and between laboratories, especially for starch. To obtain comparable NSC estimates, we suggest that users can either adopt the reference method given in this publication, or report estimates for a portion of samples using the reference method, and report estimates for a standard reference material. Researchers interested in NSC estimates should work to identify and adopt standard methods. (Résumé d'auteur)

Mots-clés Agrovoc : Plante ligneuse, Composition chimique, Analyse de tissu foliaire, Eucalyptus globulus, Pinus edulis, Prunus persica, Technique analytique, Extraction, technique de laboratoire

Classification Agris : F60 - Plant physiology and biochemistry
U40 - Surveying methods

Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive

Auteurs et affiliations

  • Quentin Audrey G., CSIRO (AUS)
  • Pinkard Elizabeth A., CSIRO (AUS)
  • Ryan Michael G., USDA (USA)
  • Tissue David T., UWS (AUS)
  • Baggett L. Scott, USDA (USA)
  • Adams Henry D., Los Alamos National Laboratory (USA)
  • Maillard Pascale, INRA (FRA)
  • Marchand Jacqueline, INRA (FRA)
  • Landhäusser Simon M., University of Alberta (CAN)
  • Lacointe André, INRA (FRA)
  • Gibon Yves, INRA (FRA)
  • Anderegg William R.L., Princeton University (USA)
  • Asao Shinichi, Colorado State University (USA)
  • Atkin Owen K., ANU (AUS)
  • Bonhomme Marc, INRA (FRA)
  • Claye Caroline, University of Tasmania (AUS)
  • Chow Pak S., University of Alberta (CAN)
  • Clément-Vidal Anne, CIRAD-BIOS-UMR AGAP (FRA)
  • Davies Noel W., University of Tasmania (AUS)
  • Dickman L.Turin, Los Alamos National Laboratory (USA)
  • Dumbur Rita, Hebrew University of Jérusalem (ISR)
  • Ellsworth David S., UWS (AUS)
  • Falk Kristen, Oregon State University (USA)
  • Galiano Lucía, Universitaet Freiburg (DEU)
  • Grünzweig José M., Hebrew University of Jerusalem (ISR)
  • Hartmann Henrik Andreas, MPIZ (DEU)
  • Hoch Günter, University of Basel (CHE)
  • Hood Sharon, University of Montana (USA)
  • Jones Joanna E., University of Tasmania (AUS)
  • Koike Takayoshi, Hokkaido University (JPN)
  • Kuhlmann Iris, MPIZ (DEU)
  • Lloret Francisco, CREAF (BFA)
  • Maestro Melchor, IPE-CSIC (ESP)
  • Mansfield Shawn D., University of British Columbia (CAN)
  • Martínez-Vilalta Jordi, CREAF (BFA)
  • Maucourt Mickael, INRA (FRA)
  • McDowell Nathan G., Los Alamos National Laboratory (USA)
  • Moing Annick, INRA (FRA)
  • Muller Bertrand, INRA (FRA)
  • Nebauer Sergio G., Universitat Politècnica de València (ESP)
  • Niinemets Ulo, Estonian University of Life Sciences (EST)
  • Palacio Sara, IPE-CSIC (ESP)
  • Piper Frida, CIEP (CHL)
  • Raveh Eran, ARO (ISR)
  • Richter Andreas, Université de Vienne (AUT)
  • Rolland Gaëlle, INRA (FRA)
  • Rosas Teresa, CREAF (BFA)
  • Saint Joanis Brigitte, INRA (FRA)
  • Sala Anna, University of Montana (USA)
  • Smith Renee A., UWS (AUS)
  • Sterck Frank J., Wageningen Agricultural University (NLD)
  • Stinziano Joseph R., Western University (CAN)
  • Tobias Mari, Estonian University of Life Sciences (EST)
  • Unda Faride, University of British Columbia (CAN)
  • Watanabe Makoto, Tokyo University of Agriculture and Technology (JPN)
  • Way Danielle A., Western University (CAN)
  • Weerasinghe Lasantha K., ANU (AUS)
  • Wild Birgit, Université de Vienne (AUT)
  • Wiley Erin, University of Alberta (CAN)
  • Woodruff David R., USDA (USA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/578154/)

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