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 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. (C) 2022 The Authors. Published by Elsevier Inc.