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Association mapping of agronomic traits on chromosome 2A of wheat

Genetica volume 137, pages 67–75 (2009)Cite this article

Abstract

Association mapping is a method to test the association between molecular markers and quantitative trait loci (QTL) based on linkage disequilibrium (LD). In this study, the collection of 108 wheat germplasm accessions form China were evaluated for their plant heights, spike length, spikelets per spike, grains per spike, thousand kernel weight and spikelets density in 3 years at three locations. And they were genotyped with 85 SSR markers and 40 EST-SSR markers. The population structure was inferred on the basis of unlinked 48 SSR markers and 40 EST-SSR markers. The extent of LD on chromosome 2A was 2.3 cM. Association of 37 SSR loci on chromosomes 2A with six agronomic traits was analysed with a mixed linear model. A total of 14 SSR loci were significantly associated with agronomic traits. Some of the associated markers were located in the QTL region detected in previous linkage mapping analysis. Our results demonstrated that association mapping can enhance QTL information and achieves higher resolution with short LD extent.

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Acknowledgments

This research was supported by a grant of “863” programme from the Chinese Ministry of Science and Technology (No. 2006AA100102).

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Affiliations

  1. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, China

    Ji Yao, Lihua Liu & Yonglian Zheng

  2. Beijing Hybrid Wheat Research Centre, Beijing Academy of Agricultural and Forestry Sciences, 100097, Beijing, China

    Ji Yao, Lixin Wang, Lihua Liu & Changping Zhao

Authors
  1. Ji Yao
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  2. Lixin Wang
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  3. Lihua Liu
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  4. Changping Zhao
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  5. Yonglian Zheng
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Correspondence to Changping Zhao or Yonglian Zheng.

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Yao, J., Wang, L., Liu, L. et al. Association mapping of agronomic traits on chromosome 2A of wheat. Genetica 137, 67–75 (2009). https://doi.org/10.1007/s10709-009-9351-5

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  • DOI: https://doi.org/10.1007/s10709-009-9351-5

Keywords

  • Linkage disequilibrium
  • Population structure
  • Unified mixed-model method
  • Wheat