Skip to main content

Advertisement

Log in

QTL analysis for 27 quality traits measured through the color of end-use products in common wheat (Triticum aestivum L.)

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

The color of flour and its end-use products is an important quality trait of wheat. Understanding the genetic basis of this trait is essential for improving wheat quality. In this study, quantitative trait locus (QTL) mapping for 27 color-related traits of flour, starch, gluten, dough sheet, steamed bread, and baked bread was performed using a population of recombinant inbred lines (RILs) with 173 lines of F9:10, tested in four environments. For this purpose, a high-density genetic map constructed using a 90 K SNP array, Diversity Arrays Technology (DArT) and simple sequence repeat (SSR) markers was used. A total of 43 additive QTLs were detected, including 25 large-effect QTLs, located on chromosomes 1A, 1B, 2A, 4B, 5B, and 7B. Four of these major QTLs, namely QFa7B.7-1, QFb7B.7-2, QFb7B.7-1 and QGb4B.4, made the highest contribution and accounted for 29.60, 29.02, 27.45, and 22.24% of the phenotypic variation, respectively. Six stable QTLs (QSa4B.4, QSl4B.4-1, QFa7B.7-2, QFb7B.7-1, QFb7B.7-2, and QBca7B.7) were detected in more than one environment with high PVE values. In addition, two robust QTL clusters contribution to 13 evaluated traits were identified on chromosomes 4B (RAC875_c27536_611-wsnp_Ku_c28756_38667953) and 7B (wPt-1196-Kukri_c2348_2340). A locus within the interval Ex_c101685_705-RAC875_c27536_611 of 4B also harbored many genes previously reported to affect wheat quality and yield. These detected QTLs may be used for further study and be used to improve wheat quality in wheat-breeding programs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

Download references

Funding

This work was supported by the National Natural Science Foundation of China (31971936), the Science and Technology Project of Henan Province (212102110273, 212102110267, 212102110298), the Major Project of Colleges and Universities of Henan Province (22A210016), and the Science and Technology Project of Shandong Province (ZR2019ZD15, 2019YQ028, 2019YQ014, 2019LZGC001-3, and 2017LZN047).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. HL and JC conceived and designed the research. XJ wrote and revised the manuscript and analyzed the data. ZW collected the phenotypic data and participated in the statistics analysis. JZ, XL, and ZK helped with the statistics analysis. ZZ and QG provided valuable suggestions on the manuscript. JT revised the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Hongmin Li or Jiansheng Chen.

Ethics declarations

Conflict of interest

The authors declare that they have no conflicts of interest.

Human and animal rights

This manuscript did not contain any studies with human participants or animals and did not involve any endangered or protected species.

Consent for publication

Publication ethics have been followed during the preparation of manuscript. All authors approved the final version for submission. The manuscript has not been submitted to any other journal.

Informed consent

All authors approved the manuscript for submission.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 34 kb)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jiang, X., Wang, Z., Zhao, J. et al. QTL analysis for 27 quality traits measured through the color of end-use products in common wheat (Triticum aestivum L.). Euphytica 218, 121 (2022). https://doi.org/10.1007/s10681-022-03055-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10681-022-03055-3

Keywords

Navigation