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<p>Drought causes major yield losses in all major crops including wheat. In the present study on wheat, we conducted both conventional and conditional QTL mapping using a double haploid (DH) mapping population to identify QTLs for grain yield (GY) and its related traits; mapping population for this purpose was grown under both irrigated (IR) and rain-fed (RF) conditions. The conditional QTL analysis (by removing the effect of other yield-contributing traits) allowed identification of seven novel QTLs (located on six chromosomes); apparently, these conditional QTLs escaped detection in the conventional QTL interval mapping. One major QTL, namely <i>Qgy.ccsu-7A.1</i>, with an R<sup>2</sup> value of 12%, was also detected when the effect of thousand-grain weight (TGW) was eliminated. Nineteen candidate genes (CGs) underlying these seven conditional QTLs were also identified; these CGs are known to be involved in diverse biological processes, including transcriptional regulation, signal transduction, protein modification, development and cell cycle control, ribosomal function and translation, general metabolism and stress responses. The study suggested that conditional QTLs provide a better insights into the interdependence of GY and its contributing traits. The findings of the current study should be valuable in wheat yield improvement programmes for drought tolerance through marker-assisted selection (MAS).</p>

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Conditional QTL analysis of grain yield and eight yield-contributing traits under drought stress in wheat (Triticum aestivum L.)

  • 期刊论文

  • 发表日期：

    2025年10月3日

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  • Vijay Gahlaut,
  • Vandana Jaiswal,
  • Harindra Singh Balyan,
  • Pushpendra Kumar Gupta

摘要

Drought causes major yield losses in all major crops including wheat. In the present study on wheat, we conducted both conventional and conditional QTL mapping using a double haploid (DH) mapping population to identify QTLs for grain yield (GY) and its related traits; mapping population for this purpose was grown under both irrigated (IR) and rain-fed (RF) conditions. The conditional QTL analysis (by removing the effect of other yield-contributing traits) allowed identification of seven novel QTLs (located on six chromosomes); apparently, these conditional QTLs escaped detection in the conventional QTL interval mapping. One major QTL, namely Qgy.ccsu-7A.1, with an R2 value of 12%, was also detected when the effect of thousand-grain weight (TGW) was eliminated. Nineteen candidate genes (CGs) underlying these seven conditional QTLs were also identified; these CGs are known to be involved in diverse biological processes, including transcriptional regulation, signal transduction, protein modification, development and cell cycle control, ribosomal function and translation, general metabolism and stress responses. The study suggested that conditional QTLs provide a better insights into the interdependence of GY and its contributing traits. The findings of the current study should be valuable in wheat yield improvement programmes for drought tolerance through marker-assisted selection (MAS).