QTL mapping for yield-related traits in wheat based on four RIL populations
- 1 March 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Theoretical and Applied Genetics
- Vol. 133 (3), 917-933
- https://doi.org/10.1007/s00122-019-03515-w
Abstract
Key message Eight environmentally stable QTL for grain yield-related traits were detected by four RIL populations, and two of them were validated by a natural wheat population containing 580 diverse varieties or lines. Yield and yield-related traits are important factors in wheat breeding. In this study, four RIL populations derived from the cross of one common parent Yanzhan 1 (a Chinese domesticated cultivar) and four donor parents including Hussar (a British domesticated cultivar) and three semi-wild wheat varieties in China were phenotyped for 11 yield-related traits in eight environments. An integrated genetic map containing 2009 single-nucleotide polymorphism (SNP) markers generated from a 90 K SNP array was constructed to conduct quantitative trait loci (QTL) analysis. A total of 161 QTL were identified, including ten QTL for grain yield per plant (GYP) and yield components, 49 QTL for spike-related traits, 43 QTL for flag leaf-related traits, 22 QTL for plant height (PH), and 37 QTL for heading date and flowering date. Eight environmentally stable QTL were validated in individual RIL population where the target QTL was notably detected, and six of them had a significant effect on GYP. Furthermore, Two QTL, QSPS-2A.4 and QSL-4A.1, were also validated in a natural wheat population containing 580 diverse varieties or lines, which provided valuable resources for further fine mapping and genetic improvement in yield in wheat.Funding Information
- the Transgenic Special Item of China (2016ZX08002003-002, 2016ZX08009-003)
- the national key Research and Development Program of China (2016YFD0100602)
- The National Natural Science Foundation of China (31520103911, 31871610)
- the Natural Science Foundation of Shandong Province of China (ZR2017MC016)
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