Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments

Vijay Gahlaut; Vandana Jaiswal; Bhudeva S Tyagi; Gyanendra Singh; Sindhu Sareen; Harindra S Balyan; Pushpendra Kumar Gupta

doi:10.1016/j.dib.2022.107933

Dataset of nine agronomic traits in bread wheat phenotyped under irrigated and rain-fed environments

Data Brief. 2022 Feb 10:41:107933. doi: 10.1016/j.dib.2022.107933. eCollection 2022 Apr.

Authors

Vijay Gahlaut¹, Vandana Jaiswal¹, Bhudeva S Tyagi², Gyanendra Singh², Sindhu Sareen², Harindra S Balyan¹, Pushpendra Kumar Gupta¹

Affiliations

¹ Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India.
² ICAR-Indian Institute of Wheat and Barley Research, Karnal, India.

Abstract

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.

Keywords: Breeding; Doubled haploid; Drought; Wheat.