Estimation of grain yield by near-infrared reflectance spectroscopy in durum wheat

cg.contactjosel@porthos.bio.ub.esen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Barcelona - UNI-Ben_US
cg.contributor.centerUniversity of Lleida - UDLen_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.identifier.doihttps://dx.doi.org/10.1023/B:EUPH.0000040523.52707.1een_US
cg.isijournalISI Journalen_US
cg.issn0014-2336en_US
cg.issn1573-5060en_US
cg.issue3en_US
cg.journalEuphyticaen_US
cg.subject.agrovocmultivariate analysisen_US
cg.subject.agrovocyieldsen_US
cg.subject.agrovocdurum (triticum durum)en_US
cg.subject.agrovocdurum wheaten_US
cg.volume137en_US
dc.contributorBertran, E.en_US
dc.contributorMiloudi, Nachiten_US
dc.contributorCatalà, J.en_US
dc.contributorAraus, Jose Luisen_US
dc.creatorFerrio, Juan Pedroen_US
dc.date.accessioned2021-04-06T23:45:05Z
dc.date.available2021-04-06T23:45:05Z
dc.description.abstractNear-infrared Reflectance Spectroscopy (NIRS) is widely used for routine, non-destructive assessment of grain quality in cereals. In this work, we assess the use of NIRS as an indirect indicator of grain yield (GY) in durum wheat grown in Mediterranean conditions. Plants were grown under rain-fed conditions in two sites in NW Syria, Breda and Tel Hadya, and a third trial was planted at Tel Hadya under support irrigation. We measured the spectral reflectance signature between 1100 and 2500 nm in flour from the same grains harvested for yield determination. By Partial Least Squares (PLSR), we obtained a model of the association between agronomic determinations of GY and these spectra. We found significant (p < 0.001) relationships between GY and NIRS-predicted values, with r 2= 0.36 (N= 96), r 2= 0.72 (N= 72) and r 2= 0.52 (N= 138) in Breda, and Tel Hadya rainfed and irrigated, respectively. Full cross validation of these models gave r 2 between 0.31 and 0.33 (p < 0.001). When we applied the models to the samples from the other two trials, we found a general decrease in their predictive ability. Compared with other grain traits (carbon isotope discrimination, grain weight, ash and nitrogen content), NIRS showed a similar or even stronger relationship with GY, at least when validated in the same trial. We concluded that NIRS could be used to rank GY during the early generations of a breeding program, when performing yield trials is less feasible. However, further research is required to identify the environments in which this technique is more reliable, as well as to evaluate the heritability of NIRS-predicted GY.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationJuan Pedro Ferrio, E. Bertran, Nachit Miloudi, J. Català, Jose Luis Araus. (30/6/2004). Estimation of grain yield by near-infrared reflectance spectroscopy in durum wheat. Euphytica, 137 (3), pp. 373-380.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/12819
dc.languageenen_US
dc.publisherSpringer (part of Springer Nature)en_US
dc.sourceEuphytica;137,(2004) Pagination 373-380en_US
dc.subjectnirsen_US
dc.subjectregressionen_US
dc.subjectplsren_US
dc.titleEstimation of grain yield by near-infrared reflectance spectroscopy in durum wheaten_US
dc.typeJournal Articleen_US
dcterms.available2004-06-30en_US
dcterms.extent373-380en_US
mel.impact-factor1.614en_US

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