Dataset on the use of MGIDI index in screening drought-tolerant wild wheat accessions at the early growth stage

被引:15
|
作者
Pour-Aboughadareh, Alireza [1 ]
Poczai, Peter [2 ]
机构
[1] Agr Res Educ & Extens Org AREEO, Seed & Plant Improvement Inst, Karaj 57825327, Iran
[2] Univ Helsinki, Finnish Museum Nat Hist, Bot Unit, POB 7, FI-00014 Helsinki, Finland
来源
DATA IN BRIEF | 2021年 / 36卷
关键词
Drought tolerance; Wild wheat; MGIDI index; Multivariate analysis; RESISTANCE; YIELD; CULTIVARS; STRESS; HEAT;
D O I
10.1016/j.dib.2021.107096
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The dataset herein indicated the novelty of the article entitled "Dataset on the use of MGIDI in screening droughttolerant 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 Ae. tauschii, Ae. cylindrica, and Ae. crassa were assessed under optimal glasshouse conditions to screen the droughttolerant 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. (C) 2021 The Author(s). Published by Elsevier Inc.
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页数:12
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