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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...

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Autores principales: Gahlaut, Vijay, Jaiswal, Vandana, Tyagi, Bhudeva S., Singh, Gyanendra, Sareen, Sindhu, Balyan, Harindra S., Gupta, Pushpendra Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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