干旱区生态环境知识资源中心(Arid): Agronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions

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DOI	10.1016/j.dib.2020.105758
	Agronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions
	Rezzouk, Fatima Zahra; Shahid, Mohammad Ahmed; Elouafi, Ismahane A.; Zhou, Bangwei; Araus, Jose L.; Serret, Maria D.
通讯作者	Serret, MD
来源期刊	DATA IN BRIEF
ISSN	2352-3409
出版年	2020
卷号	31
英文摘要	The 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 (delta C-13 and delta N-15) 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. (C) 2020 The Author(s). Published by Elsevier Inc.
英文关键词	Irrigation Isotopic composition Leaf pigments Mineral content Manuring Quinoa Seed yield
类型	Article ; Data Paper
语种	英语
开放获取类型	DOAJ Gold, Green Published
收录类别	ESCI
WOS记录号	WOS:000569217700039
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
Scopus学科分类	AGROTECNIO Ctr Res Agrotechnol, Lleida 25198, Spain.
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334595
作者单位	[Rezzouk, Fatima Zahra; Araus, Jose L.; Serret, Maria D.] Univ Barcelona, Sect Plant Physiol, Barcelona 08028, Spain; [Rezzouk, Fatima Zahra; Araus, Jose L.; Serret, Maria D.] AGROTECNIO Ctr Res Agrotechnol, Lleida 25198, Spain; [Shahid, Mohammad Ahmed; Elouafi, Ismahane A.] ICBA, POB 14660, Dubai, U Arab Emirates; [Zhou, Bangwei] Northeast Normal Univ, Inst Grassland Sci, Key Lab Vegetat Ecol, Minist Educ, Changchun, Peoples R China
推荐引用方式 GB/T 7714	Rezzouk, Fatima Zahra,Shahid, Mohammad Ahmed,Elouafi, Ismahane A.,et al. Agronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions[J],2020,31.
APA	Rezzouk, Fatima Zahra,Shahid, Mohammad Ahmed,Elouafi, Ismahane A.,Zhou, Bangwei,Araus, Jose L.,&Serret, Maria D..(2020).Agronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions.DATA IN BRIEF,31.
MLA	Rezzouk, Fatima Zahra,et al."Agronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions".DATA IN BRIEF 31(2020).