首页> 美国卫生研究院文献>Data in Brief >A dataset of Agronomic Biofortification and Seeding rate - by - Location effects on Grain Mineral concentration End-use quality and Agro-phenological traits of Durum wheat Genotypes
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A dataset of Agronomic Biofortification and Seeding rate - by - Location effects on Grain Mineral concentration End-use quality and Agro-phenological traits of Durum wheat Genotypes

机译:农艺生物杂化和播种率的数据集 - 谷物矿物质浓度杜兰姆小麦基因型的最终利用质量和农业鉴定性

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摘要

Improving durum wheat end-use quality traits such as protein and gluten content becomes the principal research focus area, due to the increase in market demand and premium price paid for durum wheat producing farmers. The success is, however, limited because of crop genetic bottleneck, factors from growing environments and crop agronomic management practices. A study was conducted to i) identify an optimum seeding rate for durum wheat genotypes that can improve grain yield and grain quality and ii) to evaluate the effect of agronomic biofortification on grain protein, gluten contents, Zeleny index, and grain mineral content. Zinc and Iron containing fertilizers were applied foliarily in the form of ZnSO₄.7H2O and FeSO₄.7H2O. The data presented in this dataset article included yield and yield related traits, phenological and grain quality traits as well as grain Zn and Fe contents. The grain mineral content was measured by using atomic absorption photometer. A machine Minfra Smart T® wheat grain analyzer was used to measure grain protein content, gluten content, and Zeleny index values for each sample. The collected data were analyzed using GenStat (14th ed.) statistical software package. The aim of this dataset article is make the data publicly available to enable further extended analyses and as a guide for further research works to improve the productivity of smallholder durum wheat producing farmers.
机译:由于杜兰姆小麦生产农民支付的市场需求和高价,改善蛋白质和麸质含量等杜兰麦小麦最终使用质量特征成为主要研究重点领域。然而,由于作物遗传瓶颈,来自越来越多的环境和农作物农业管理实践的因素,成功是有限的。对I进行了一项研究)确定了可以提高谷物小麦基因型的最佳种子率,可提高籽粒产量和晶粒质量和II),以评估农艺生物侵蚀对籽粒蛋白,麸质含量,Zeleny指标和谷物矿物质含量的影响。含锌和含铁肥料以ZnSo₄.7H2O和Feso₄.7H2O的形式施用。该数据集文章中提出的数据包括产量和产量相关的特征,鉴生和晶粒质量性状以及谷物Zn和Fe含量。通过使用原子吸收光度计测量谷物矿物质含量。机器Minfra SmartT®小麦谷物分析仪用于测量每个样品的谷物蛋白质含量,麸质含量和Zeleny指数值。使用Genstat(第14届)统计软件包进行分析收集的数据。该数据集文章的目的是将数据公开的,以实现进一步扩展分析,并作为进一步研究的指南,以提高小麦小麦生产农民的生产力。

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