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Non-structural carbohydrates in woody plants compared among laboratories

dc.contributor.authorQuentin , Audrey G
dc.contributor.authorPinkard, Elizabeth A.
dc.contributor.authorRyan, Michael G.
dc.contributor.authorTissue, David
dc.contributor.authorBaggett, L. Scott
dc.contributor.authorAdams, Henry D
dc.contributor.authorMaillard, Pascale
dc.contributor.authorMarchand, Jacqueline
dc.contributor.authorLandhäusser, Simon M
dc.contributor.authorLacointe, Andre
dc.contributor.authorGibon, Yves
dc.contributor.authorAtkin, Owen
dc.contributor.authorWeerasinghe, Lasantha
dc.date.accessioned2015-12-10T22:54:41Z
dc.date.issued2015
dc.date.updated2023-03-12T07:16:11Z
dc.description.abstractNon-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.
dc.identifier.issn0829-318X
dc.identifier.urihttp://hdl.handle.net/1885/59749
dc.publisherHeron Publishing
dc.sourceTree Physiology
dc.titleNon-structural carbohydrates in woody plants compared among laboratories
dc.typeJournal article
local.bibliographicCitation.issue11
local.bibliographicCitation.lastpage20
local.bibliographicCitation.startpage1
local.contributor.affiliationQuentin , Audrey G, University of Western Sydney,
local.contributor.affiliationPinkard, Elizabeth A., CSIRO Land and Water
local.contributor.affiliationRyan, Michael G., Colorado State University
local.contributor.affiliationTissue, David, University of Western Sydney
local.contributor.affiliationBaggett, L. Scott, USDA Forest Service
local.contributor.affiliationAdams, Henry D, Los Alamos National Laboratory
local.contributor.affiliationMaillard, Pascale, INRA, UMR
local.contributor.affiliationMarchand, Jacqueline, INRA, UMR
local.contributor.affiliationLandhäusser, Simon M, University of Alberta
local.contributor.affiliationLacointe, Andre, INRA, UMR
local.contributor.affiliationGibon, Yves, University of Bordeaux
local.contributor.affiliationAtkin, Owen, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationWeerasinghe, Lasantha, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidAtkin, Owen, u1555251
local.contributor.authoruidWeerasinghe, Lasantha, u4741361
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor060705 - Plant Physiology
local.identifier.absfor069902 - Global Change Biology
local.identifier.absfor060203 - Ecological Physiology
local.identifier.absseo820199 - Forestry not elsewhere classified
local.identifier.absseo829899 - Environmentally Sustainable Plant Production not elsewhere classified
local.identifier.absseo960305 - Ecosystem Adaptation to Climate Change
local.identifier.ariespublicationu4956746xPUB506
local.identifier.citationvolume0
local.identifier.doi10.1093/treephys/tpv073
local.identifier.scopusID2-s2.0-84959064975
local.identifier.thomsonID000366524100002
local.type.statusPublished Version

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