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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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Detalles Bibliográficos
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
Descripción
Sumario: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.