Dataset on the use of MGIDI index in screening drought-tolerant wild wheat accessions at the early growth stage
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dc.contributor.author |
Pour-Aboughadareh, Alireza |
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dc.contributor.author |
Poczai, Péter |
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dc.date.accessioned |
2021-05-27T09:23:02Z |
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dc.date.available |
2021-05-27T09:23:02Z |
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dc.date.issued |
2021-06 |
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dc.identifier.citation |
Pour-Aboughadareh , A & Poczai , P 2021 , ' Dataset on the use of MGIDI index in screening drought-tolerant wild wheat accessions at the early growth stage ' , Data in Brief , vol. 36 , 107096 . https://doi.org/10.1016/j.dib.2021.107096 |
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dc.identifier.other |
PURE: 161535773 |
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dc.identifier.other |
PURE UUID: 6df885cb-ced6-4dd6-80bd-6358b23df457 |
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dc.identifier.other |
Scopus: 85105702682 |
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dc.identifier.other |
WOS: 000668964100033 |
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dc.identifier.uri |
http://hdl.handle.net/10138/330301 |
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dc.description.abstract |
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 Ae. tauschii, Ae. cylindrica, and Ae. crassa 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. |
en |
dc.format.extent |
12 |
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dc.language.iso |
eng |
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dc.relation.ispartof |
Data in Brief |
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dc.rights |
cc_by_nc_nd |
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dc.rights.uri |
info:eu-repo/semantics/openAccess |
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dc.subject |
4111 Agronomy |
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dc.subject |
11831 Plant biology |
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dc.subject |
Drought tolerance |
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dc.subject |
Wild wheat |
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dc.subject |
MGIDI index |
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dc.subject |
Multivariate analysis |
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dc.subject |
RESISTANCE |
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dc.subject |
YIELD |
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dc.subject |
CULTIVARS |
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dc.subject |
STRESS |
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dc.subject |
HEAT |
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dc.title |
Dataset on the use of MGIDI index in screening drought-tolerant wild wheat accessions at the early growth stage |
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dc.type |
Article |
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dc.contributor.organization |
Botany |
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dc.contributor.organization |
Embryophylo |
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dc.description.reviewstatus |
Peer reviewed |
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dc.relation.doi |
https://doi.org/10.1016/j.dib.2021.107096 |
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dc.relation.issn |
2352-3409 |
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dc.rights.accesslevel |
openAccess |
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dc.type.version |
publishedVersion |
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