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Near-infrared spectroscopy (NIRS) predicts non-structural carbohydrate concentrations in different tissue types of a broad range of tree species

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dc.creatorRamirez, Jorge A.spa
dc.creatorPosada Hostettler, Juan Manuel Robertospa
dc.creatorHanda, I. Tanyaspa
dc.creatorHoch, Günterspa
dc.creatorVohland, Michaelspa
dc.creatorMessier, Christianspa
dc.creatorReu, Björnspa
dc.date.accessioned2020-05-25T23:57:03Z
dc.date.available2020-05-25T23:57:03Z
dc.date.created2015spa
dc.description.abstractThe allocation of non-structural carbohydrates (NSCs) to reserves constitutes an important physiological mechanism associated with tree growth and survival. However, procedures for measuring NSC in plant tissue are expensive and time-consuming. Near-infrared spectroscopy (NIRS) is a high-throughput technology that has the potential to infer the concentration of organic constituents for a large number of samples in a rapid and inexpensive way based on empirical calibrations with chemical analysis. The main objectives of this study were (i) to develop a general NSC concentration calibration that integrates various forms of variation such as tree species and tissue types and (ii) to identify characteristic spectral regions associated with NSC molecules. In total, 180 samples from different tree organs (root, stem, branch, leaf) belonging to 73 tree species from tropical and temperate biomes were analysed. Statistical relationships between NSC concentration and NIRS spectra were assessed using partial least squares regression (PLSR) and a variable selection procedure (competitive adaptive reweighted sampling, CARS), in order to identify key wavelengths. Parsimonious and accurate calibration models were obtained for total NSC (r2 of 0·91, RMSE of 1·34% in external validation), followed by starch (r2 = 0·85 and RMSE = 1·20%) and sugars (r2 = 0·82 and RMSE = 1·10%). Key wavelengths coincided among these models and were mainly located in the 1740-1800, 2100-2300 and 2410-2490 nm spectral regions. This study demonstrates the ability of general calibration model to infer NSC concentrations across species and tissue types in a rapid and cost-effective way. The estimation of NSC in plants using NIRS therefore serves as a tool for functional biodiversity research, in particular for the study of the growth-survival trade-off and its implications in response to changing environmental conditions, including growth limitation and mortality. © 2015 British Ecological Society.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1111/2041-210X.12391
dc.identifier.issn2041210X
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22591
dc.language.isoengspa
dc.publisherBritish Ecological Societyspa
dc.relation.citationEndPage1025
dc.relation.citationIssueNo. 9
dc.relation.citationStartPage1018
dc.relation.citationTitleMethods in Ecology and Evolution
dc.relation.citationVolumeVol. 6
dc.relation.ispartofMethods in Ecology and Evolution, ISSN:2041210X, Vol.6, No.9 (2015); pp. 1018-1025spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84941763635&doi=10.1111%2f2041-210X.12391&partnerID=40&md5=f16a70c32ffac83e37b5732df43d5d15spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordCarbohydrate reservesspa
dc.subject.keywordCarbon allocationspa
dc.subject.keywordCARS-PLSRspa
dc.subject.keywordMultivariate calibrationspa
dc.subject.keywordSpectroscopyspa
dc.subject.keywordStarchspa
dc.subject.keywordSugarsspa
dc.titleNear-infrared spectroscopy (NIRS) predicts non-structural carbohydrate concentrations in different tissue types of a broad range of tree speciesspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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