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QTL Mapping and Candidate Gene Screening of Tillering-Related Traits in RIL Populations of Winter Wheat
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Xiaoling GUO1, 2, Tiansheng YU2, Yongfa WANG3, Yükun CHENG1, Yi REN1, Xiaoyu ZHANG3, Hongwei GENG1
Journal of Triticeae Crops | 2026, 46(1) : 58 - 67
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Journal of Triticeae Crops | 2026, 46(1): 58-67
• Genetics & Breeding •
QTL Mapping and Candidate Gene Screening of Tillering-Related Traits in RIL Populations of Winter Wheat
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Xiaoling GUO1, 2, Tiansheng YU2, Yongfa WANG3, Yükun CHENG1, Yi REN1, Xiaoyu ZHANG3, Hongwei GENG1
Affiliations
  • 1.College of Agronomy/Special High Quality Triticeae Crops Engineering and Technology Research Center, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China
  • 2.Qitai Wheat Experimental Station, Xinjiang Academy of Agricultural Sciences, Qitai, Xinjiang 831800, China
  • 3.National Key Laboratory of Efficient Production of Wheat and Maize, Haidian District, Beijing 100193, China
Published: 2026-01-15 doi: 10.7606/j.issn.1009-1041.2026.01.07
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In order to further explore the quantitative trait locus (QTL) for tillering-related traits in wheat, and to explore the genetic relationship between tillering traits, we used 255 recombinant inbred lines (RIL) populations, constructed from Apache and Xindong 36, as research materials to determine several key metrics. These included the number of pre-winter tillers, the number of single tillers, the number of effective tillers, the effective tillers per unit area, and the tiller angle. The phenotypic values of spike rate were determined in four environments. The QTL controlling tillering-related traits was carried out based on the ultra-low depth sequencing data of the RIL populations. The results showed that a total of 53 QTLs for tillering traits were detected on 15 chromosomes, including 13 QTLs for pre-winter tiller number, 10 QTLs for single-plant tiller number, 8 QTLs for effective tiller number per plant, 11 QTLs for effective tiller number per unit area, 4 QTLs for tiller angle, 2 QTLs for spike-forming rate, and 5 pleiotropism QTLs. The phenotypic interpretation rates of individual QTLs ranged from 2.66% to 28.76%. Among them, QTn.xjau-4B was detected in all three environments, with a phenotypic contribution rate of 28.76% to the effective number of tillers of a single plant. This stable QTL is a major effective and R-E-Z locus, which can be used as an important locus for the study of tillering and plant type.

Wheat  /  Tillering traits  /  Ultra-low depth sequencing  /  QTL analysis
Xiaoling GUO, Tiansheng YU, Yongfa WANG, Yükun CHENG, Yi REN, Xiaoyu ZHANG, Hongwei GENG. QTL Mapping and Candidate Gene Screening of Tillering-Related Traits in RIL Populations of Winter Wheat[J]. Journal of Triticeae Crops, 2026 , 46 (1) : 58 -67 . DOI: 10.7606/j.issn.1009-1041.2026.01.07
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Year 2026 volume 46 Issue 1
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Article Info
doi: 10.7606/j.issn.1009-1041.2026.01.07
  • Receive Date：2025-03-03
  • Online Date：2026-09-11
  • Published：2026-01-15
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History
  • Received：2025-03-03
  • Revised：2025-04-26
Funding
Affiliations
    1.College of Agronomy/Special High Quality Triticeae Crops Engineering and Technology Research Center, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China
    2.Qitai Wheat Experimental Station, Xinjiang Academy of Agricultural Sciences, Qitai, Xinjiang 831800, China
    3.National Key Laboratory of Efficient Production of Wheat and Maize, Haidian District, Beijing 100193, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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