Pour-Aboughadareh Alireza, Poczai Peter
Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj 5782-5327, Iran.
Botany Unit, Finnish Museum of Natural History, University of Helsinki, P.O. Box 7, Helsinki FI-00014, Finland.
Data Brief. 2021 Apr 26;36:107096. doi: 10.1016/j.dib.2021.107096. eCollection 2021 Jun.
The dataset herein indicated the novelty of the article entitled "Dataset on the use of MGIDI in screening drought-tolerant wild wheat accessions at the early growth stage". Data were gathered during 2018-2019 on a set of wild wheat germplasm under two control and water deficit stress conditions. One hundred and forty-six accessions belonging to , and were assessed under optimal glasshouse conditions to screen the drought-tolerant samples at the early growth stage. Nine drought tolerance and susceptibility indices along with the multi-trait genotype-ideotype distance index (MGIDI) were used to visualize the dataset. The obtained data can highlight the potential of the MGIDI index in accelerating screening of a large number of plant materials using multiple traits or selection indices in crop breeding programs, especially at the early growth stage.
本文中的数据集表明了题为“关于利用MGIDI在早期生长阶段筛选耐旱野生小麦种质的数据集”这篇文章的新颖性。2018 - 2019年期间，在两种对照和水分亏缺胁迫条件下，收集了一组野生小麦种质的数据。在最佳温室条件下，对属于[此处原文缺失相关类别信息]的146份种质进行了评估，以在早期生长阶段筛选耐旱样本。使用了九个耐旱性和敏感性指标以及多性状基因型 - 理想型距离指数（MGIDI）来直观呈现该数据集。所获得的数据可以突出MGIDI指数在作物育种计划中利用多个性状或选择指数加速大量植物材料筛选方面的潜力，特别是在早期生长阶段。
