Unverified paper record
Agronomical and analytical trait data assessed in a set of quinoa genotypes growing in the UAE under different irrigation salinity conditions.
Data in brief · 30 May 2020 · 10.1016/j.dib.2020.105758
Abstract
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 (δ 13 C and δ 15 N) 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.
Plant phenotyping relevance
作物表現型に関する再利用可能なデータセットを提示し、遺伝子型・塩分処理下での生育、色素、同位体、元素、収量など複数の植物形質を比較することが中心である。
abstractThe 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.
abstractThe present dataset highlights the potential use of different approaches to crop phenotyping and monitoring decision making.
Code and data availability
The paper is a Data in Brief article describing agronomical and analytical trait (phenotype) data for 20 quinoa genotypes under fresh and saline irrigation, deposited in Mendeley Data. However, the deposit is described as 'reserved but not active until publication' and the provided direct URL is a draft link, so the MZ
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