Agronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions

dc.contributor.authorRezzouk, Fatima Zahra
dc.contributor.authorShahid, Mohammad Ahmed
dc.contributor.authorElouafi, Ismahane A.
dc.contributor.authorZhou, Bangwei
dc.contributor.authorAraus Ortega, José Luis
dc.contributor.authorSerret Molins, M. Dolors
dc.date.accessioned2021-07-13T11:18:51Z
dc.date.available2021-07-13T11:18:51Z
dc.date.issued2020-08-01
dc.date.updated2021-07-13T11:18:52Z
dc.description.abstractThe importance of quinoa has been emphasized considerably in the recent decades, as a highly nutritional crop seed that is tolerant to salinity and amenable to arid agronomical conditions. The focus of this paper is to provide raw and a supplemental data of the research article entitled "Agronomic performance of irrigated quinoa in desert areas: comparing different approaches for early assessment of salinity stress" [1], aiming to compare different approaches for early detection, at the genotypic and crop levels, of the effect of salinity caused by irrigation on the agronomic performance of this crop. A set of 20 genotypes was grown under drip irrigation in sandy soil, amended with manure, at the International Center for Biosaline Agriculture (UAE) for two weeks, after which half of the trial was submitted to irrigation with saline water and this was continued until crop maturity. After eight weeks of applying the two irrigation regimes, pigment contents were evaluated in fully expanded leaves. The same leaves were then harvested, dried and the stable carbon and nitrogen isotope compositions (δ13C and δ15N) and the total nitrogen and carbon contents of the dry matter analyzed, together with ion concentrations. At maturity yield components were assessed and yield harvested. Data analysis demonstrated significant differences in genotypes response under each treatment, within all assessed parameters. The significant level was provided using the Tukey-b test on independent samples. The present dataset highlights the potential use of different approaches to crop phenotyping and monitoring decision making.
dc.format.extent9 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec703249
dc.identifier.issn2352-3409
dc.identifier.pmid32577441
dc.identifier.urihttps://hdl.handle.net/2445/179033
dc.language.isoeng
dc.publisherElsevier
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.dib.2020.105758
dc.relation.ispartofData in Brief, 2020, vol. 31, num. 105758, p. 1-9
dc.relation.urihttps://doi.org/10.1016/j.dib.2020.105758
dc.rightscc-by (c) Rezzouk, Fatima Zahra et al., 2020
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)
dc.subject.classificationRegatge
dc.subject.classificationPigments vegetals
dc.subject.classificationAdobs
dc.subject.classificationLlavors
dc.subject.classificationEfecte de la sal sobre les plantes
dc.subject.otherIrrigation
dc.subject.otherPlant pigments
dc.subject.otherManures
dc.subject.otherSeeds
dc.subject.otherEffect of salt on plants
dc.titleAgronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Carregant...
Miniatura
Nom:
703249.pdf
Mida:
470.67 KB
Format:
Adobe Portable Document Format