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QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations

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Abstract

Spike-related traits contribute greatly to grain yield in wheat. To localize wheat chromosomes for factors affecting the seven spike-related traits—i.e., the spike length (SL), the basal sterile spikelet number (BSSN), the top sterile spikelet number (TSSN), the sterile spikelet number in total (SSN), the spikelet number per spike (SPN), the fertile spikelet number (FSN) and the spike density (SD)—two F8:9 recombinant inbred line (RIL) populations were generated. They were derived from crosses between Weimai 8 and Jimai 20 (WJ) and between Weimai 8 and Yannong 19 (WY), comprising 485 and 229 lines, respectively. Combining the two new linkage maps and the phenotypic data collected from the four environments, we conducted quantitative trait locus (QTL) detection for the seven spike-related traits and evaluated their genetic correlations. Up to 190 putative additive QTL for the seven spike-related traits were detected in WJ and WY, distributing across all the 21 wheat chromosomes. Of these, at least nine pairwise QTL were common to the two populations. In addition, 38 QTL showed significance in at least two of the four different environments, and 18 of these were major stable QTL. Thus, they will be of great value for marker assisted selection (MAS) in breeding programs. Though co-located QTL were universal, every trait owned its unique QTL and even two closely related traits were not excluded. The two related populations with a large/moderate population size made the results authentic and accurate. This study will enhance the understanding of the genetic basis of spike-related traits.

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Acknowledgments

This research was supported by the National Basic Research Program of China (973 Program, 2006CB101700). The author thanks Sishen Li, College of Agronomy, Shandong Agricultural University, Taian, China, for kindly providing EST-SSR markers.

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Authors and Affiliations

  1. State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, 271018, Taian, China

    Fa Cui, Anming Ding, Jun Li, Chunhua Zhao, Xiaolei Qi, Xingfeng Li, Guoyu Li, Jurong Gao & Honggang Wang

  2. Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, 050021, Shijiazhuang, Hebei, China

    Fa Cui

  3. Tianxing Biotechnology Co. Ltd., Handian Industrial Zone, 256200, Zouping, Shandong, China

    Jun Li

  4. Municipal Academy of Agricultural Sciences, 272031, Jining, Shandong, China

    Lin Wang

  5. Municipal Academy of Agricultural Sciences, 277100, Zaozhuang, Shandong, China

    Xiuqin Wang

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  1. Fa Cui
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  2. Anming Ding
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  8. Xingfeng Li
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  9. Guoyu Li
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  10. Jurong Gao
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  11. Honggang Wang
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Correspondence to Honggang Wang.

Additional information

F. Cui, A. Ding, J. Li and C. Zhao contributed equally to this work.

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Cui, F., Ding, A., Li, J. et al. QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations. Euphytica 186, 177–192 (2012). https://doi.org/10.1007/s10681-011-0550-7

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  • DOI: https://doi.org/10.1007/s10681-011-0550-7

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