Molecular Breeding

, Volume 29, Issue 2, pp 335–348 | Cite as

Genetic mapping and quantitative trait locus analysis of fiber quality traits using a three-parent composite population in upland cotton (Gossypium hirsutum L.)

  • Ke Zhang
  • Jian Zhang
  • Jing Ma
  • Shiyi Tang
  • Dajun Liu
  • Zhonghua Teng
  • Dexin Liu
  • Zhengsheng ZhangEmail author


Composite cross populations (CP) developed from three or more cultivars/lines are frequently used to improve agronomic and economic traits in crop cultivar development programs. Employing CP in linkage map construction and quantitative trait locus (QTL) mapping may increase the marker density of upland cotton (Gossypium hirsutum L.) genetic maps, exploit more adequate gene resources and facilitate marker-assisted selection (MAS). To construct a relatively high-density map and identify QTL associated with fiber quality traits in upland cotton, three elite upland cultivars/lines, Yumian 1, CRI 35 and 7,235, were used to obtain the segregating population, Yumian 1/CRI 35//Yumian 1/7,235. A genetic map containing 978 simple sequence repeat (SSR) loci and 69 linkage groups was constructed; the map spanned 4,184.4 cM, covering approximately 94.1% of the entire tetraploid cotton genome. A total of 63 QTL were detected, explaining 8.1–55.8% of the total phenotypic variance: 11 QTL for fiber elongation, 16 QTL for fiber length, 9 QTL for fiber micronaire reading, 10 QTL for fiber strength and 17 QTL for fiber length uniformity. The genetic map and QTL detected for fiber quality traits are promising for further breeding programs of upland cotton with improved fiber quality.


Composite cross population Fiber quality Linkage map QTL Upland cotton 



This study was financially supported by Hi-tech Research and Development Program of China (2006AA10Z1D3) and the Natural Science Foundation of China (30871556, 30900910).


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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Ke Zhang
    • 1
  • Jian Zhang
    • 1
  • Jing Ma
    • 1
  • Shiyi Tang
    • 1
  • Dajun Liu
    • 1
  • Zhonghua Teng
    • 1
  • Dexin Liu
    • 1
  • Zhengsheng Zhang
    • 1
    Email author
  1. 1.Key Laboratory of Biotechnology & Crop Quality Improvement, Ministry of Agriculture/College of Agronomy & BiotechnologySouthwest UniversityChongqingPeople’s Republic of China

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