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dc.contributorBertran, E.en_US
dc.contributorMiloudi, Nachiten_US
dc.contributorRoyo, Conxitaen_US
dc.contributorAraus, Jose Luisen_US
dc.creatorFerrio, Juan Pedroen_US
dc.date2001-08-01en_US
dc.date.accessioned2022-03-22T22:57:24Z
dc.date.available2022-03-22T22:57:24Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationJuan Pedro Ferrio, E. Bertran, Nachit Miloudi, Conxita Royo, Jose Luis Araus. (1/8/2001). Near infrared reflectance spectroscopy as a potential surrogate method for the analysis of D13C in mature kernels of durum wheat. Australian Journal of Agricultural Research, 52 (8), pp. 809 -816.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67243
dc.description.abstractCarbon isotope discrimination (Δ13C) in grain is a potentially useful trait in breeding programs that aim to increase the yield of wheat and other cereals. Near infrared reflectance spectroscopy (NIRS) is used in routine assays to determine grain and flour quality. This study assesses the ability of NIRS to predict Δ13C in mature kernels of durum wheat. Plants were grown in north-west Syria as this location provided 3 distinct Mediterranean trials that covered a wide range for Δ13C values in grains (from about 12.9‰ to 17.6‰). We measured the spectral reflectance signature between 1100 and 2500 nm in samples from the same flour used in the conventional (i.e. mass spectrometry) determinations of Δ13C. By using principal components regression and partial least squares regression (PLSR), a model of the association between conventional laboratory analysis and these spectra was produced. Global regressions, which included samples from all 3 trials, and local models, which used samples from only one trial, were built and then validated with sample sets not included in calibration procedures. In global models, strong significant correlations (P < 0.001) were found between NIRS-predicted Δ13C and measured Δ13C values. PLSR gave r 2 values of 0.86 and 0.82 for calibration and validation sets, respectively. Although less strongly correlated, all local models selected for a subset of samples with significantly higher Δ13C values. Local models also performed well when selecting samples from the other 2 trials. The advantages and possible limitations of NIRS are further discusseden_US
dc.languageenen_US
dc.publisherCSIRO Publishingen_US
dc.rightsCopyrighted; all rights reserveden_US
dc.sourceAustralian Journal of Agricultural Research;52,(2001) Pagination 809 ,816en_US
dc.subjectnirsen_US
dc.subjectcarbon isotope discriminationen_US
dc.subjectregressionen_US
dc.subjectplsren_US
dc.subjectWheaten_US
dc.titleNear infrared reflectance spectroscopy as a potential surrogate method for the analysis of D13C in mature kernels of durum wheaten_US
dc.typeJournal Articleen_US
cg.subject.agrovocmultivariate analysisen_US
cg.subject.agrovocpcren_US
cg.contributor.centerUniversitat Autònoma de Barcelona - UABen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInstitute for Food and Agricultural Research and Technology - IRTAen_US
cg.contributor.centerUniversity of Barcelona - UNI-Ben_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionGlobalen_US
cg.contactjosel@porthos.bio.ub.esen_US
cg.identifier.doihttps://dx.doi.org/10.1071/AR00116en_US
dc.identifier.statusTimeless limited accessen_US


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