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Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments
Higher yield and broad adaptation to drought-prone environments are key targets of wheat breeding programs. This can be achieved through a complete knowledge of the genetic architecture of yield and its related traits. This brief article provides analysed mean data used in the research article entit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858989/ https://www.ncbi.nlm.nih.gov/pubmed/35242915 http://dx.doi.org/10.1016/j.dib.2022.107933 |
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author | Gahlaut, Vijay Jaiswal, Vandana Tyagi, Bhudeva S. Singh, Gyanendra Sareen, Sindhu Balyan, Harindra S. Gupta, Pushpendra Kumar |
author_facet | Gahlaut, Vijay Jaiswal, Vandana Tyagi, Bhudeva S. Singh, Gyanendra Sareen, Sindhu Balyan, Harindra S. Gupta, Pushpendra Kumar |
author_sort | Gahlaut, Vijay |
collection | PubMed |
description | Higher yield and broad adaptation to drought-prone environments are key targets of wheat breeding programs. This can be achieved through a complete knowledge of the genetic architecture of yield and its related traits. This brief article provides analysed mean data used in the research article entitled “QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments” (Gahlaut et al., 2017). Phenotypic data were recorded on nine important agronomic traits on a doubled haploid (DH) mapping population derived from the cross Kukri/Excalibur. For recording this data, the mapping population was grown during three crop seasons (2010–11 to 2012–13) at four separate locations in India, both under irrigated and rain-fed environments. This dataset is valuable for wheat breeders to better understand the genetic basis of drought tolerance in wheat. |
format | Online Article Text |
id | pubmed-8858989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88589892022-03-02 Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments Gahlaut, Vijay Jaiswal, Vandana Tyagi, Bhudeva S. Singh, Gyanendra Sareen, Sindhu Balyan, Harindra S. Gupta, Pushpendra Kumar Data Brief Data Article Higher yield and broad adaptation to drought-prone environments are key targets of wheat breeding programs. This can be achieved through a complete knowledge of the genetic architecture of yield and its related traits. This brief article provides analysed mean data used in the research article entitled “QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments” (Gahlaut et al., 2017). Phenotypic data were recorded on nine important agronomic traits on a doubled haploid (DH) mapping population derived from the cross Kukri/Excalibur. For recording this data, the mapping population was grown during three crop seasons (2010–11 to 2012–13) at four separate locations in India, both under irrigated and rain-fed environments. This dataset is valuable for wheat breeders to better understand the genetic basis of drought tolerance in wheat. Elsevier 2022-02-10 /pmc/articles/PMC8858989/ /pubmed/35242915 http://dx.doi.org/10.1016/j.dib.2022.107933 Text en © 2022 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Gahlaut, Vijay Jaiswal, Vandana Tyagi, Bhudeva S. Singh, Gyanendra Sareen, Sindhu Balyan, Harindra S. Gupta, Pushpendra Kumar Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments |
title | Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments |
title_full | Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments |
title_fullStr | Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments |
title_full_unstemmed | Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments |
title_short | Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments |
title_sort | dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858989/ https://www.ncbi.nlm.nih.gov/pubmed/35242915 http://dx.doi.org/10.1016/j.dib.2022.107933 |
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