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.
Araus Ortega, José Luis
Serret Molins, M. Dolors
MetadataShow full item record
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” , 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.
Is part ofData in Brief, 2020, vol. 31, article 105758
European research projects
Except where otherwise noted, this item's license is described as cc-by (c) Rezzouk, Fatima Zahra et al., 2020
Showing items related by title, author, creator and subject.
Combined use of low-cost remote sensing techniques and δ13C to assess bread wheat grain yield under different water and nitrogen conditions Yousfi, Salima; Gracia-Romero, Adrian; Kellas, Nassim; Kaddour, Mohamed; Chadouli, Ahmed; Karrou, Mohamed; Araus Ortega, José Luis; Serret Molins, M. Dolors (MDPI, 2019-05-31)Vegetation indices and canopy temperature are the most usual remote sensing approaches to assess cereal performance. Understanding the relationships of these parameters and yield may help design more e cient strategies ...
Grain yield, carbon isotope discrimination and mineral content in mature kernels of barley under irrigated and rainfed conditions Febrero Ribas, Anna; Bort Pie, Jordi; Català, J.; Marzábal Luna, Pau; Voltas Velasco, Jordi; Araus Ortega, José Luis (Institut national de la recherche agronomique (França)ElsevierEDP Sciences, 1994)The relationship between yield, carbon isotope discrimination and ash content in mature kernels was examined for a set of 13 barley (Hordeum vulgare) cultivars. Plants were grown under rainfed and well-irrigated conditions ...
Breeding effects on the genotype × environment interaction for yield of durum wheat grown after the Green Revolution: The case of Spain Chairi, Fadia; Aparicio, Nieves; Serret Molins, M. Dolors; Araus Ortega, José Luis (Crop Science Society of China and Institute of Crop Science, CAASElsevier, 2020-03-21)This study evaluates the changes caused by breeding in the genotype by environment (G × E) interaction of the durum wheat varieties most widely cultivated in Spain after the Green Revolution. A set of 12 cultivars was ...