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Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers

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Abstract

Background

In this study, we used phenotypic and genetic analysis to investigate Double haploid (DH) lines derived from normal corn parents (HF1 and 11S6169). DH technology offers an array of advantages in maize genetics and breeding as follows: first, it significantly shortens the breeding cycle by development of completely homozygous lines in two or three generations; and second, it simplifies logistics, including requiring less time, labor, and financial resources for developing new DH lines compared with the conventional RIL population development process.

Objectives

In our study, we constructed a maize genetic linkage map using SSR markers and a DH population derived from a cross of normal corn (HF1) and normal corn (11S6169).

Methods

The DH population used in this study was developed by the following methods: we crossed normal corn (HF1) and normal corn (11S6169), which are parent lines of a normal corn cultivar, in 2014; and the next year, the F1 hybrids were crossed with a tropicalized haploid inducer line (TAIL), which is homozygous for the dominant marker gene R1-nj (Nanda and Chase in Crop Sci 6:213–215, 1966), and we harvested seeds of the haploid lines.

Results

A total of 200 SSR markers were assigned to 10 linkage groups that spanned 1145.4 cM with an average genetic distance between markers of 5.7 cM. 68 SSR markers showed Mendelian segregation ratios in the DH population at a 5% significance threshold. A total of 15 quantitative trait loci (QTLs) for plant height (PH), ear height (EH), ear height ratio (ER), leaf length (LL), ear length (EL), set ear length (SEL), set ear ratio (SER), ear width (EW), 100 kernel weight (100 KW), and cob color (CC) were found in the 121 lines in the DH population.

Conclusion

The results of this study may help to improve the detection and characterization of agronomic traits and provide great opportunities for maize breeders and researchers using a DH population in maize breeding programs.

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Acknowledgements

This study was supported by the Cooperative Research Program for Agriculture Science and Technology Development (Project title #PJ013157012018, Project #PJ013308012018), Rural Development Administration, Republic of Korea, and the Golden Seed Project (No. 213009-05-1-WT821, PJ012650012017), Ministry of Agriculture, Food, and Rural Affairs (MAFRA), Ministry of Oceans and Fisheries (MOF), Rural Development Administration (RDA), and Korea Forest Service (KFS), Republic of Korea.

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  1. Jae-Keun Choi and Kyu Jin Sa contributed equally to this study.

Authors and Affiliations

  1. Gangwon-do Agricultural Research and Extension Services, Maize Research Institute, Hongcheon, 25160, Korea

    Jae-Keun Choi, Si-Hwan Ryu, Jong Yeol Park & Ki Jin Park

  2. Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, 24341, Korea

    Kyu Jin Sa, Dae Hyun Park, Su Eun Lim & Ju Kyong Lee

  3. Department of Medical Biotechnology, Kangwon National University, Chuncheon, 24341, Korea

    Jae-Keun Choi & Hae-Ik Rhee

  4. Department of Anatomy Cell Biology, Kangwon National University School of Medicine, Chuncheon, 24341, Korea

    Mijeong Lee

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  1. Jae-Keun Choi
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Correspondence to Ju Kyong Lee.

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Jae-Keun Choi declares that he has no conflict of interest. Kyu Jin Sa declares that he has no conflict of interest. Dae Hyun Park declares that he has no conflict of interest. Su Eun Lim declares that she has no conflict of interest. Si-Hwan Ryu declares that he has no conflict of interest. Jong Yeol Park declares that he has no conflict of interest. Ki Jin Park declares that he has no conflict of interest. Hae-Ik Rhee declares that he has no conflict of interest. Mijeong Lee declares that she has no conflict of interest. Ju Kyong Lee declares that he has no conflict of interest.

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Choi, JK., Sa, K.J., Park, D.H. et al. Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers. Genes Genom 41, 667–678 (2019). https://doi.org/10.1007/s13258-019-00813-x

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